Build HPS model test from source code
* Build Kelvin model test binary
* Remove hard-coded binary from the repo
Bug: 268228671
Bug: 269616844
Bug: 331131250
Bug: 331132631
Bug: 331321922
Change-Id: Iab5a04543919ee58db661341dd11c226c2b5cc96
(cherry picked from commit 04f0dcdba12ffe53874a5c674425c4d955524f5b)
diff --git a/rules/matcha.bzl b/rules/matcha.bzl
index 24b6093..9010841 100644
--- a/rules/matcha.bzl
+++ b/rules/matcha.bzl
@@ -719,8 +719,7 @@
srcs = [vmem_32_name],
outs = [vmem_256_name],
cmd = cmd,
- tools = ["@matcha//util:gen_vmem_256"],
- **kwargs
+ tools = ["@matcha//util:gen_vmem_256"]
)
native.filegroup(
name = name,
diff --git a/sw/device/examples/demo_hps_from_test_images/results.md b/sw/device/examples/demo_hps_from_test_images/results.md
new file mode 100644
index 0000000..c076ac8
--- /dev/null
+++ b/sw/device/examples/demo_hps_from_test_images/results.md
@@ -0,0 +1,8 @@
+# Results
+hps_0.jpg -118, -128
+hps_1.jpg 127, -128
+hps_2.jpg 127, 127
+hps_3.jpg -115, -128
+hps_4.jpg -97, -128
+hps_5.jpg 127, -128
+hps_6.jpg 127, -115
diff --git a/sw/device/examples/testdata/BUILD b/sw/device/examples/testdata/BUILD
index e0f8ca0..8bd7acf 100644
--- a/sw/device/examples/testdata/BUILD
+++ b/sw/device/examples/testdata/BUILD
@@ -4,16 +4,9 @@
package(default_visibility = ["//visibility:public"])
-filegroup(
- name = "all_files",
- srcs = glob(["**"]),
-)
-
-# Binary is built from repo experimental-hw/kelvin/sw/hps-c-port
-# Only contain the binary's byte length and checksum.
-# TODO(b/268228671): Remove binary kelvin_model.bin.
+# Binary is built from //sw/device/tests/kelvin/hps-c-port
bin_to_c_file(
name = "kelvin_model_ml_bin",
- srcs = ["kelvin_model.bin"],
+ srcs = ["//sw/device/tests/kelvin/hps-c-port:kelvin_hps_model.bin"],
var_name = "kelvin_bin",
)
diff --git a/sw/device/examples/testdata/kelvin_model.bin b/sw/device/examples/testdata/kelvin_model.bin
deleted file mode 100755
index ab30ca7..0000000
--- a/sw/device/examples/testdata/kelvin_model.bin
+++ /dev/null
Binary files differ
diff --git a/sw/device/tests/kelvin/hps-c-port/BUILD b/sw/device/tests/kelvin/hps-c-port/BUILD
new file mode 100644
index 0000000..fb282e6
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/BUILD
@@ -0,0 +1,60 @@
+# Copyright 2024 Google LLC.
+# Licensed under the Apache License, Version 2.0, see LICENSE for details.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Kelvin core workload
+
+load("//rules:matcha.bzl", "kelvin_binary")
+
+package(default_visibility = ["//visibility:public"])
+
+kelvin_binary(
+ name = "kelvin_hps_model",
+ srcs = [
+ "main_fpga.cc",
+ "ml_input.cc",
+ ] + [
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_000_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_001_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_002_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_003_max_pool_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_004_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_005_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_006_max_pool_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_007_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_008_max_pool_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_009_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_010_max_pool_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_011_conv_2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_012_reshape.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_013_fullyconnected.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_014_fullyconnected.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_015_fullyconnected.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:layer_016_logistic.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:model.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_opt_conv2d_per_ch.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_opt_fullyconnected.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_opt_maxpool2d.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_opt_reshape.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_ref.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_ref_fullyconnected.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_ref_logistic.cc",
+ "//sw/device/tests/kelvin/hps-c-port/model/src:tfc_ref_maxpool2d.cc",
+ ],
+ hdrs = [
+ "ml_input.h",
+ ] + [
+ "//sw/device/tests/kelvin/hps-c-port/sw/init:kelvin.h",
+ "//sw/device/tests/kelvin/hps-c-port/sw/init:kelvin_intrinsics.h",
+ ] + [
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:layers.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:model.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_conv2d_per_ch.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_fullyconnected.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_logistic.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_maxpool2d.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_opt_util.h",
+ "//sw/device/tests/kelvin/hps-c-port/model/inc:tfc_reshape.h",
+ ],
+)
diff --git a/sw/device/tests/kelvin/hps-c-port/main_fpga.cc b/sw/device/tests/kelvin/hps-c-port/main_fpga.cc
new file mode 100644
index 0000000..4755b93
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/main_fpga.cc
@@ -0,0 +1,28 @@
+#include "sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/model.h"
+#include "sw/device/tests/kelvin/hps-c-port/ml_input.h"
+
+constexpr int kImageLen = 240 * 320;
+
+constexpr uint32_t kCommand = 0x3FF000; // +4.0MB - 4KB
+
+struct command_t {
+ uint32_t input_addr;
+ uint32_t output_addr;
+ uint32_t padding[1024 - 2];
+};
+static_assert(sizeof(command_t) == 4096);
+
+static int8_t input_[kImageLen] __aligned__ __noinit__;
+
+int main(void) {
+ const command_t *command = reinterpret_cast<const command_t*>(kCommand);
+ const uint8_t *image = reinterpret_cast<const uint8_t*>(command->input_addr);
+ int8_t *output = reinterpret_cast<int8_t*>(command->output_addr);
+
+ ml_input(kImageLen, image, input_);
+ model(input_, output);
+ flushat(output);
+
+ return 0;
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/ml_input.cc b/sw/device/tests/kelvin/hps-c-port/ml_input.cc
new file mode 100644
index 0000000..ab17e5f
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/ml_input.cc
@@ -0,0 +1,14 @@
+#include "sw/device/tests/kelvin/hps-c-port/ml_input.h"
+#include "sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h"
+
+void ml_input(const int len, const uint8_t *image, int8_t *input) {
+ int vlmax; getmaxvl_b_m(vlmax);
+ assert(vlmax == 128);
+ assert((len & (128 - 1)) == 0);
+
+ for (int i = 0; i < len; i += 128) {
+ vld_b_p_x_m(v0, image);
+ vsub_b_vx_m(v0, v0, 128);
+ vst_b_p_x_m(v0, input);
+ }
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/ml_input.h b/sw/device/tests/kelvin/hps-c-port/ml_input.h
new file mode 100644
index 0000000..a169755
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/ml_input.h
@@ -0,0 +1,9 @@
+#ifndef ML_INPUT_H_
+#define ML_INPUT_H_
+
+#include <stdint.h>
+
+// Subtract 128 from the image [uint8_t] to match model input [int8_t].
+void ml_input(const int len, const uint8_t *image, int8_t *input);
+
+#endif // ML_INPUT_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/BUILD b/sw/device/tests/kelvin/hps-c-port/model/inc/BUILD
new file mode 100644
index 0000000..df8a70a
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/BUILD
@@ -0,0 +1,12 @@
+# Copyright 2024 Google LLC.
+# Licensed under the Apache License, Version 2.0, see LICENSE for details.
+# SPDX-License-Identifier: Apache-2.0
+
+package(default_visibility = [
+ "//sw/device/tests:__subpackages__",
+])
+
+filegroup(
+ name = "all_files",
+ srcs = glob(["**"]),
+)
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/layers.h b/sw/device/tests/kelvin/hps-c-port/model/inc/layers.h
new file mode 100644
index 0000000..c5b0333
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/layers.h
@@ -0,0 +1,38 @@
+#include <stdint.h>
+
+// TODO(b/331321922): Remove unused headers
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h"
+#include "sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h"
+
+void layer_000_conv_2d(const int8_t in[240 * 320 * 1],
+ int8_t out[120 * 160 * 16]);
+void layer_001_conv_2d(const int8_t in[120 * 160 * 16],
+ int8_t out[120 * 160 * 16]);
+void layer_002_conv_2d(const int8_t in[120 * 160 * 16],
+ int8_t out[120 * 160 * 16]);
+void layer_003_max_pool_2d(const int8_t in[120 * 160 * 16],
+ int8_t out[60 * 80 * 16]);
+void layer_004_conv_2d(const int8_t in[60 * 80 * 16], int8_t out[60 * 80 * 48]);
+void layer_005_conv_2d(const int8_t in[60 * 80 * 48], int8_t out[60 * 80 * 48]);
+void layer_006_max_pool_2d(const int8_t in[60 * 80 * 48],
+ int8_t out[30 * 40 * 48]);
+void layer_007_conv_2d(const int8_t in[30 * 40 * 48], int8_t out[30 * 40 * 48]);
+void layer_008_max_pool_2d(
+ const int8_t in[30 * 40 * 48],
+ int8_t out[(15 + 1 /*pad for overwriting*/) * 20 * 48]);
+void layer_009_conv_2d(
+ const int8_t in[(15 + 1 /*pad for overwriting*/) * 20 * 48],
+ int8_t out[(15 + 1 /*pad for overwriting*/) * 20 * 48]);
+void layer_010_max_pool_2d(
+ const int8_t in[(15 + 1 /*pad for overwriting*/) * 20 * 48],
+ int8_t out[(7 + 1 /*pad for overwriting*/) * 10 * 48]);
+void layer_011_conv_2d(
+ const int8_t in[(7 + 1 /*pad for overwriting*/) * 10 * 48],
+ int8_t out[(7 + 1 /*pad for overwriting*/) * 10 * 48]);
+void layer_012_reshape(
+ const int8_t in[(7 + 1 /*pad for overwriting*/) * 10 * 48],
+ int8_t out[3360]);
+void layer_013_fullyconnected(const int8_t in[3360], int8_t out[32]);
+void layer_014_fullyconnected(const int8_t in[32], int8_t out[32]);
+void layer_015_fullyconnected(const int8_t in[32], int8_t out[2]);
+void layer_016_logistic(const int8_t in[2], int8_t out[2]);
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/model.h b/sw/device/tests/kelvin/hps-c-port/model/inc/model.h
new file mode 100644
index 0000000..0f55e54
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/model.h
@@ -0,0 +1,3 @@
+#include <stdint.h>
+
+void model(const int8_t *input, int8_t *output);
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h
new file mode 100644
index 0000000..f148ea8
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h
@@ -0,0 +1,16 @@
+#ifndef TFC_H_
+#define TFC_H_
+
+#include <stdint.h>
+
+namespace ref {
+
+int32_t MultiplyByQuantizedMultiplier(int32_t x, int32_t quantized_multiplier, int shift);
+
+} // namespace ref
+
+static int Offset(const int32_t shape[4], const int32_t i0, const int32_t i1, const int32_t i2, const int32_t i3) {
+ return ((i0 * shape[1] + i1) * shape[2] + i2) * shape[3] + i3;
+}
+
+#endif // TFC_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h
new file mode 100644
index 0000000..e82bfe7
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h
@@ -0,0 +1,38 @@
+#ifndef TFC_CONV2D_PER_CH_H_
+#define TFC_CONV2D_PER_CH_H_
+
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h"
+
+struct Conv2DPerChannelOptions {
+ int32_t input_shape[4];
+ int32_t input_offset;
+
+ int32_t output_shape[4];
+ int32_t output_offset;
+ int32_t output_activation_min;
+ int32_t output_activation_max;
+ const int32_t *output_multiplier;
+ const int32_t *output_shift;
+
+ int32_t filter_shape[4];
+ const int8_t *filter_data;
+
+ const int32_t *bias_data;
+
+ int32_t padding_w;
+ int32_t padding_h;
+
+ int32_t stride_w;
+ int32_t stride_h;
+
+ int32_t dilation_w_factor;
+ int32_t dilation_h_factor;
+};
+
+namespace opt {
+
+void Conv2D(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace opt
+
+#endif // TFC_CONV2D_PER_CH_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h
new file mode 100644
index 0000000..3fed8c8
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h
@@ -0,0 +1,36 @@
+#ifndef TFC_FULLYCONNECTED_H_
+#define TFC_FULLYCONNECTED_H_
+
+#include "tfc.h"
+
+struct FullyConnectedOptions {
+ int32_t input_shape[4];
+ int32_t input_offset;
+
+ int32_t output_shape[4];
+ int32_t output_offset;
+ int32_t output_activation_min;
+ int32_t output_activation_max;
+ int32_t output_multiplier;
+ int32_t output_shift;
+
+ int32_t filter_shape[4];
+ int32_t filter_offset;
+ const int8_t *filter_data;
+
+ const int32_t *bias_data;
+};
+
+namespace ref {
+
+void FullyConnected(const FullyConnectedOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace ref
+
+namespace opt {
+
+void FullyConnected(const FullyConnectedOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace opt
+
+#endif // TFC_FULLYCONNECTED_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_logistic.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_logistic.h
new file mode 100644
index 0000000..4856a2c
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_logistic.h
@@ -0,0 +1,18 @@
+#ifndef TFC_LOGISTIC_H_
+#define TFC_LOGISTIC_H_
+
+#include "tfc.h"
+
+struct LogisticOptions {
+ int32_t input_shape[2];
+ int32_t output_shape[2];
+ const uint8_t *table;
+};
+
+namespace ref {
+
+void Logistic(const LogisticOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace ref
+
+#endif // TFC_LOGISTIC_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h
new file mode 100644
index 0000000..73c04b5
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h
@@ -0,0 +1,35 @@
+#ifndef TFC_MAXPOOL2D_H_
+#define TFC_MAXPOOL2D_H_
+
+#include "tfc.h"
+
+struct MaxPool2DOptions {
+ int32_t input_shape[4];
+ int32_t output_shape[4];
+
+ int32_t padding_w;
+ int32_t padding_h;
+
+ int32_t filter_w;
+ int32_t filter_h;
+
+ int32_t stride_w;
+ int32_t stride_h;
+
+ int8_t quantized_activation_min;
+ int8_t quantized_activation_max;
+};
+
+namespace ref {
+
+void MaxPool2D(const MaxPool2DOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace ref
+
+namespace opt {
+
+void MaxPool2D(const MaxPool2DOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace opt
+
+#endif // TFC_MAXPOOL2D_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h
new file mode 100644
index 0000000..eb5f769
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h
@@ -0,0 +1,42 @@
+#ifndef TFC_OPT_UTIL_H_
+#define TFC_OPT_UTIL_H_
+
+#include "sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h"
+
+namespace opt {
+
+static void *memset(void *s, int c, size_t n) {
+ uint8_t* p = (uint8_t*) s;
+ vdup_b_x_m(v0, uint8_t(c));
+ int vl;
+ while (n > 0) {
+ getvl_b_x_m(vl, n);
+ n -= vl;
+ vst_b_lp_xx_m(v0, p, vl);
+ }
+ return s;
+}
+
+static void *memcpy(void *dst, const void *src, size_t n) {
+ const uint8_t* s = (uint8_t*) src;
+ uint8_t* d = (uint8_t*) dst;
+ int vl;
+ while (true) {
+ if (n <= 0) break;
+ getvl_b_x_m(vl, n);
+ n -= vl;
+ vld_b_lp_xx_m(v0, s, vl);
+ vst_b_lp_xx_m(v0, d, vl);
+
+ if (n <= 0) break;
+ getvl_b_x_m(vl, n);
+ n -= vl;
+ vld_b_lp_xx_m(v4, s, vl);
+ vst_b_lp_xx_m(v4, d, vl);
+ }
+ return dst;
+}
+
+} // namespace opt
+
+#endif // TFC_OPT_UTIL_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_reshape.h b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_reshape.h
new file mode 100644
index 0000000..7d4a45c
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/inc/tfc_reshape.h
@@ -0,0 +1,19 @@
+#ifndef TFC_RESHAPE_H_
+#define TFC_RESHAPE_H_
+
+#include "tfc.h"
+
+struct ReshapeOptions {
+ int32_t input_shape[4];
+ int32_t output_shape[4];
+ int32_t input_dims;
+ int32_t output_dims;
+};
+
+namespace opt {
+
+void Reshape(const ReshapeOptions& options, const int8_t *in, int8_t *out);
+
+} // namespace opt
+
+#endif // TFC_RESHAPE_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/BUILD b/sw/device/tests/kelvin/hps-c-port/model/src/BUILD
new file mode 100644
index 0000000..29adeaa
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/BUILD
@@ -0,0 +1,10 @@
+# Copyright 2024 Google LLC.
+# Licensed under the Apache License, Version 2.0, see LICENSE for details.
+# SPDX-License-Identifier: Apache-2.0
+
+package(default_visibility = ["//visibility:public"])
+
+filegroup(
+ name = "all_files",
+ srcs = glob(["**"]),
+)
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_000_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_000_conv_2d.cc
new file mode 100644
index 0000000..5134541
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_000_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1124909184, 1463392768, 1243591680, 1521475584, 1117488512, 2033741184, 1415517056, 2019663488, 1730978816, 1489509248, 1551973632, 1161295744, 1596869632, 1386718976, 1947757184, 1162926848};
+static const int32_t output_shift[] __aligned__ = {-8, -8, -8, -8, -8, -10, -8, -9, -9, -9, -9, -8, -3, -8, -9, -8};
+static const int32_t bias_data[] __aligned__ = {-1301, -445, -299, -9944, -51, 8987, -91452, -18366, 1139, 1391, -645, -1356, 69, -374, -2496, -302};
+static const int8_t filter_data[] __aligned__ = {-71, -127, -92, -54, -33, -54, -54, -36, 49, 69, 72, 43, 35, 84, 100, 47, 78, -127, 54, 0, -67, 83, -65, 24, 60, -31, -11, -8, -21, -19, 68, -26, -16, -75, -3, 33, 117, 66, -37, -82, -127, 26, 43, 79, 17, 10, -66, 10, -79, -114, -127, -117, 35, 50, 31, 8, 25, 23, 31, 12, 3, 11, 26, 14, 31, 13, -20, -15, 127, 82, -16, -23, 89, 24, -61, -46, -11, -66, -70, -39, -35, -11, 59, 41, -79, -12, 127, 90, -72, -43, 78, 67, -85, -113, 1, -59, 24, 116, 33, -17, 51, 127, 28, -8, 23, 12, 9, 8, 5, -13, -3, 4, -82, -41, 25, 47, -127, -40, 61, 88, -101, -29, 81, 114, -79, -29, 45, 78, 67, 36, 69, 60, 39, -98, -25, 61, -12, -127, -83, 35, 30, -64, -16, 47, -21, 115, 72, -11, -58, 127, 51, 39, -45, 30, -51, -83, -49, 2, -116, 7, 3, 7, -1, -12, 12, 43, 40, 16, -7, 64, 127, 75, -22, 30, 91, 41, -57, 127, -53, -4, -73, 47, -79, -6, 78, 49, -69, 93, 17, -112, 59, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, -127, 0, 0, -55, 81, -106, -2, 2, 81, 72, -25, -14, -127, 59, -39, -7, 20, 72, -21, 43, 11, -60, -89, 70, 81, -60, -127, 52, 98, -2, -101, 19, 64, 20, -44, -38, -38, 10, 15, -127, -95, 7, 42, -101, -35, 73, 71, -5, 69, 83, 59};
+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 240, 320, 1 },
+ .input_offset = 128,
+ .output_shape = { 1, 120, 160, 16 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 16, 4, 4, 1 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 2,
+ .stride_h = 2,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_000_conv_2d(const int8_t in[240 * 320 * 1], int8_t out[120 * 160 * 16]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_001_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_001_conv_2d.cc
new file mode 100644
index 0000000..c269b2e
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_001_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1373782912, 1348559104, 1097806208, 1373281664, 1186104448, 1147101056, 1155369984, 2132986752, 1328769152, 1356343168, 1684800384, 1214719872, 1580625536, 1603085312, 1838213504, 1108573696};
+static const int32_t output_shift[] __aligned__ = {-6, -8, -8, -8, -8, -7, -6, -9, -7, -8, -9, -7, -7, -9, -8, -8};
+static const int32_t bias_data[] __aligned__ = {204, -3681, 2060, -1124, 1975, 988, 422, 3278, 742, 793, 2498, 356, 1068, -2082, 687, 1452};
+static const int8_t filter_data[] __aligned__ = {7, 7, 8, -3, 3, -10, -127, -3, 4, 7, -20, 2, 16, 5, 4, 12, 9, 4, 6, -17, 16, -6, -12, -28, 12, -1, -26, 8, 12, 4, -7, 1, 11, 5, 7, -19, -8, -1, -15, -4, 16, -5, -27, 6, 13, 6, 5, 1, 8, 8, 9, 3, 6, 9, -29, -6, 5, 1, -10, -1, 14, 7, 4, 3, -2, 0, 2, -8, 5, 7, -57, -14, 7, 4, -22, 6, 17, 5, 3, 15, -7, 10, 6, -6, -16, 11, 0, -30, -4, -3, -7, 5, 3, 5, -5, 2, -2, 8, 6, -22, -3, -6, -4, -16, -23, -8, -11, 4, 3, 8, -6, -14, -4, 11, 6, -22, -4, 1, -7, 2, 11, 9, -15, 4, 12, 10, 20, 7, -6, 7, 4, -12, -3, 10, -26, -17, 3, -7, -10, 7, 7, 6, 2, 6, -15, 8, 4, 6, -4, 5, -6, 5, -4, 2, -2, 6, 7, 4, -18, -2, -6, 4, -1, -1, 2, 0, -2, -38, -4, 5, -5, 3, 4, 3, 6, -17, -6, 15, 8, -10, 0, -11, -1, 0, 5, 2, -11, 12, 16, 10, 2, 4, 8, 5, 7, 1, -4, -1, 1, -4, 4, 6, -11, 3, 8, 5, 11, 4, 6, 8, 7, -23, 3, 1, -1, 3, -2, 18, -18, 0, 8, 6, 1, 2, 3, 3, 13, -15, 1, -5, -2, -21, -2, 13, -19, 4, 11, 5, -8, 8, 0, 7, 10, -3, 5, -9, -6, 7, -2, 9, -12, 5, 15, 3, 2, 16, 10, 0, -17, -35, 14, 9, 48, 10, -11, 17, 38, -19, 4, -8, -52, -19, 1, -11, -14, -5, 12, 32, 22, -2, 63, 27, 49, 4, -47, -6, 9, -5, -7, 0, -10, -9, 28, 6, -28, 3, 41, 34, 34, 1, -41, -14, 11, 62, 36, 7, -6, -16, 39, 2, 67, -2, 8, 3, 20, -4, 5, -3, 2, -34, 27, -18, -7, 11, 12, 15, 26, 5, -4, 16, 27, -20, 56, -6, 13, 5, 18, -12, -2, -57, 11, 54, -15, -6, 25, 62, 44, 8, 71, -34, 20, 48, 19, -25, -23, -70, 90, 6, -9, -15, 5, 46, 17, 4, 62, -47, 30, 25, 40, -26, -19, 23, -14, 19, 12, 1, 20, -13, 16, 5, 43, 0, 6, 15, -15, -11, -20, 70, 3, -51, -5, 14, -22, 25, -34, -61, -53, -11, 7, -38, 80, -20, -12, 30, 0, -101, 11, -7, 4, 3, -69, -35, -26, -23, -21, -17, 52, -17, -20, 80, -51, -51, 127, -11, 6, -25, -31, -32, 15, -35, -49, 12, -6, -37, -31, 40, -63, -34, -125, 6, -32, -25, -6, -7, -41, -19, 16, 5, -9, -18, -41, 18, -6, -5, 12, 58, -7, -14, -20, -17, 2, -28, -1, -17, 4, -35, -21, 20, 13, 3, -79, 41, -46, -61, -32, -13, 15, -21, 4, -18, 13, -31, -19, 22, -11, 18, -61, -1, -52, -66, -35, -16, 27, -21, 8, 0, 22, -31, -23, 11, -23, 34, 9, -3, -18, -30, -30, -14, 34, -35, 10, 16, 27, 16, 23, -85, 25, 10, -24, -10, -4, 33, -63, 21, 23, 7, -27, 14, 12, 17, 24, -18, 22, 7, -5, -30, 38, -1, -27, 7, 35, 11, -18, -28, 14, 14, 28, 4, 17, -12, -23, -18, 13, 3, 21, 11, 19, 11, -51, 1, 29, 24, 20, 39, 21, -9, 20, 1, 46, 2, 71, 10, 2, 16, -17, -15, -5, 13, 12, -17, -16, -1, -28, -39, 21, -7, -71, 27, -3, 11, -35, -1, -8, 20, 10, 22, -38, -4, -3, -81, -31, -39, -6, -1, 21, 2, 1, -40, -38, 18, -3, 28, 13, -5, 44, -22, -20, -17, 27, 21, 24, 9, -15, -14, -31, 17, 14, 127, -20, -16, -4, -64, -8, -4, 54, 9, 10, 8, -32, -17, -1, 21, 13, 112, -36, 14, -82, -13, -27, -5, -70, 23, 14, 7, -79, 10, -46, 10, 1, 0, -16, -3, 73, -45, -16, 2, -41, 3, 8, 13, 24, -10, -28, 23, 24, -31, 10, -13, 80, -16, -19, 5, 9, 8, 44, 6, 15, 11, -11, 20, 14, -106, 13, 16, -15, -51, -3, 29, 83, 11, 17, 10, -33, 1, 42, 7, 13, 50, 4, 3, -113, 13, -15, 8, -41, 8, -7, 3, -20, -3, 26, 9, 5, -3, -5, -15, -8, 30, 0, -13, -18, 5, 0, -2, -32, 19, 4, 6, 7, -11, 13, 16, 43, -20, -11, -1, 14, -3, 0, 10, -23, -8, 12, 9, 10, -72, 18, -25, -19, -26, 10, 11, 60, 7, -17, 14, -1, -17, 7, -17, -38, -49, 1, -23, 22, 17, -2, 15, 22, -17, 19, -22, 14, 2, 0, -53, -36, -56, 26, -20, 27, 37, -19, 63, -14, -38, 5, -56, -5, -27, -47, -24, -13, 12, 1, -18, 18, -7, 30, 35, -16, -6, 36, -20, -33, 32, 14, -37, -16, -14, -16, 41, 31, -35, -28, 24, -6, -37, 12, -27, 32, 56, 30, -34, -45, -11, 21, -17, 22, -28, -13, 48, -14, -53, 12, -26, -3, 5, 67, -45, -26, -112, -6, -26, -97, -125, 46, -23, 28, -11, -11, -75, 21, 85, 58, -59, -18, -127, 22, -27, -115, -17, 5, -79, 50, -43, -118, -72, 25, 34, 68, -52, -35, -31, 5, 9, -2, 14, 34, 10, -25, -20, 1, -27, -7, -41, 33, -27, -17, -27, 5, 25, 58, -19, -24, 15, -8, -33, 10, -27, 4, 8, 50, -32, -26, 7, 8, 3, -65, -44, -7, -45, -6, -25, 14, -62, 25, 49, 63, -47, -31, 10, 43, 14, -68, 53, 43, 57, -6, -32, 13, -28, 24, 13, 47, -45, -30, -15, -59, 52, -82, -9, -4, -40, -13, -49, 12, -29, -2, 12, 30, -13, -23, -33, 1, 20, 40, 0, 12, 7, 4, -39, 3, -26, -1, -7, 34, -39, -38, -6, 11, 11, 47, 5, -6, -16, -1, -10, 24, -50, -17, 16, 37, -29, -38, 23, 4, 30, -52, -20, -18, -41, -4, -31, 20, -50, 17, 13, 21, -46, -40, -15, 21, 17, 59, 11, -3, -23, 3, -19, 20, -31, 20, -35, 10, -1, -8, -2, 4, 11, -9, -28, -7, 19, -52, -4, 15, 4, 26, 11, -22, -2, -8, 20, 4, 3, -98, 14, -1, -14, -73, 4, 4, 0, 18, -29, -27, 9, -14, 11, -58, 2, -127, 35, -9, -33, -66, -3, -19, 3, -22, 7, 12, -4, 3, 12, -46, 23, -34, 19, -4, 8, -32, -7, 17, 2, 27, 37, -25, -3, 10, -14, -14, 16, 19, 1, -5, -2, -29, 4, 10, 2, 10, 16, 9, 10, 1, -118, -15, 14, -4, -76, -12, -29, -26, 0, 18, 1, 8, -44, -18, -2, -8, -99, -20, 3, -40, -26, -28, 3, -15, 15, 9, -8, -87, 22, -13, 7, -4, -29, -5, -20, -4, -8, 0, -11, -21, 3, 5, 3, 26, 30, -5, 5, 1, 19, 3, 3, 30, 6, 22, 7, 19, 10, -8, 2, -25, 5, -1, 12, 7, 33, 36, -10, 28, -15, -13, 30, 37, 1, -9, 20, -8, -24, 23, 11, 11, -20, 40, 0, 77, -14, 16, -6, 9, 4, -17, -6, -31, -19, -7, 6, -1, -20, -18, -7, 52, -23, 13, 6, 29, 3, -6, 4, -30, -5, -9, 4, -2, -12, 13, -27, 15, 21, -3, -7, 34, -1, 18, 13, 31, 1, -17, 3, 2, -32, -8, -14, 0, 33, 10, 4, 60, 10, 8, 10, -26, 5, -23, 6, 2, -5, 6, -17, 22, -6, -8, 4, 69, -8, 0, 11, 9, -18, -27, 0, 3, -10, 9, 5, -14, -30, 7, 4, 52, -1, -10, 4, 18, 3, 12, -11, -33, 19, -29, -2, 9, -5, -19, -12, 6, -18, -3, -15, 26, -9, -13, -34, -35, -7, 2, 1, -1, 51, -14, 7, -8, -9, 16, -28, -16, -26, 8, -15, -38, -9, -2, -9, 12, 11, -7, 8, 8, -23, -6, -21, 3, -1, -3, -41, -29, 13, -17, -10, 20, 36, -11, -3, 1, -19, -11, -22, 12, 3, 26, -18, 4, -8, -20, -12, 3, -21, -14, -36, 16, -23, 10, 19, 12, 10, 23, 2, 6, -12, 23, -18, -11, 39, -5, 14, -9, -12, -35, -16, 7, 8, -13, -25, -19, 6, 6, -4, 10, 2, 7, 25, -7, -30, 20, -2, -4, 42, -1, -38, -21, 19, 0, -8, -6, 1, -16, -22, -2, -21, -1, -28, 11, -6, -41, -19, -18, 2, -12, 41, 3, -12, 50, 24, 18, -2, 14, -21, -127, 21, 36, 11, 44, -35, 43, -56, -23, 36, -34, 26, -1, 10, -19, 33, 45, -56, 45, -29, -18, -40, 21, 8, 26, 16, 39, -15, -6, -17, 18, -21, -60, -52, 8, -37, -28, -5, -28, 3, -8, -19, -10, -3, 0, -22, 4, -33, 20, -16, 0, -7, -27, -12, -6, 49, 22, -77, 20, -2, -1, -50, -8, -44, -31, -11, -30, -62, -61, 40, -16, 2, -2, -51, 11, 37, 5, 17, -7, 6, -39, 23, -13, 0, -34, -16, 15, -4, 63, 22, 9, -24, -6, -38, -1, -18, 51, -39, 7, -40, -37, -12, -1, -4, 29, 49, -30, -23, -13, -31, 6, -42, 22, -25, 3, 4, 3, 5, 5, -7, -70, -16, 4, 5, -19, -2, 4, 3, -3, 7, 11, -1, 3, -7, 9, 16, -24, -8, 12, 11, -28, 2, 14, 5, 9, 2, -1, -1, 2, 6, 1, 2, -26, -8, 1, 0, 3, -2, 7, 0, 6, -1, 3, 0, 2, -8, 0, -2, -121, 2, 2, 0, -5, 3, -5, 0, -8, 2, -14, 0, 4, -13, -7, 5, -39, -2, 6, 13, -17, 12, 3, 6, 0, 16, -16, 10, 9, 9, -12, -17, 1, 8, 4, -12, -30, 2, 5, 11, -3, -13, -3, 8, 11, -8, 2, 16, 0, -1, 14, 13, -5, 9, 6, 6, 12, 10, 4, -3, 1, -13, -1, -3, -58, 0, -8, 1, 2, -2, -7, -4, -3, 7, 11, 7, 5, -10, 5, 0, -16, -3, 6, 3, -8, 2, -6, 6, 8, -5, 9, 4, 6, 10, 1, 2, -3, -14, 15, 26, -10, 12, 3, 10, -19, 9, -1, 11, 5, -4, 10, -7, -5, -12, 5, 3, 5, 3, -4, 3, 7, 16, 5, 3, 2, 7, 6, -2, -102, 1, -1, -11, -1, -5, -4, -2, 1, -5, -7, 1, 2, -3, -3, -8, -124, -6, 7, 7, 0, 9, -3, 1, 1, 3, 8, 5, 3, 4, 9, -3, -55, -7, 2, -2, -5, -2, -4, 2, 11, -5, 2, 1, 2, -4, -3, -6, -41, -5, 2, -4, 4, 2, -4, 0, -1, -1, 2, 3, -4, -3, -1, 1, -127, -2, -3, 3, -5, 2, -6, 0, -1, 1, 9, -12, -9, -12, -13, -29, -8, 16, -23, -4, 2, -22, -62, -16, -17, 3, 26, -5, -10, -31, -13, -24, 7, 9, 6, -1, 49, 8, -91, 1, 3, 30, -2, -5, -6, 24, -39, 38, 13, 12, -6, -28, -5, -9, -87, 1, 3, -34, -16, -2, -1, 23, -14, -16, 6, 21, -10, 13, -30, 4, -61, -3, 9, 13, 19, -3, -13, 61, -36, 44, -2, -12, 9, -29, 45, -7, -38, -8, 23, -2, -51, -1, 6, 41, -16, -37, 47, 51, -46, -42, 127, 4, -7, 5, -22, -44, 7, 5, 4, -11, 56, 8, 31, -6, -21, -7, 49, -5, -12, -7, 37, -12, 3, -2, -12, -17, -11, -32, -4, 23, -19, -8, -17, -14, -17, -7, -19, 3, -4, -9, 1, -93, -48, 18, -7, -21, 0, -17, -44, -16, -38, -3, 13, -10, 30, 12, 10, -62, 4, 61, 17, -1, 33, 118, 30, 13, -18, 3, 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+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 120, 160, 16 },
+ .input_offset = 128,
+ .output_shape = { 1, 120, 160, 16 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 16, 4, 4, 16 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_001_conv_2d(const int8_t in[120 * 160 * 16], int8_t out[120 * 160 * 16]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_002_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_002_conv_2d.cc
new file mode 100644
index 0000000..28761a9
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_002_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1730026496, 1343755648, 1391736960, 1855524608, 1620028032, 1076150912, 1322813056, 1998000768, 1461464832, 1330285440, 1331373440, 2105659136, 1514160128, 1888654464, 1210617216, 1690195840};
+static const int32_t output_shift[] __aligned__ = {-7, -8, -7, -8, -7, -7, -7, -8, -6, -7, -7, -7, -8, -7, -7, -8};
+static const int32_t bias_data[] __aligned__ = {121, 2054, -1093, -900, -555, -665, -3079, 1563, 6, -1220, -582, 633, 2497, 817, -1918, 483};
+static const int8_t filter_data[] __aligned__ = {-34, 8, 11, 5, -40, -12, -10, -7, 2, 3, -25, 21, -21, -8, 1, 15, -42, -3, -44, -15, -1, -7, -10, 8, 13, 10, 13, 7, 23, -3, -22, -1, 25, 14, -37, -25, 14, 31, 22, -23, -4, -24, 0, -50, -12, -8, -9, 0, 44, -4, 14, 7, 4, -3, -4, 34, -9, -1, -3, 27, -31, 13, 16, 11, -24, 18, 20, 38, -51, 7, 28, -9, 19, 15, -11, -54, -48, 2, -25, -21, -28, 3, -66, 2, -14, -11, -49, 2, -39, 5, 20, 24, 36, -9, -39, -20, 20, -4, -51, -53, 26, 32, 20, -24, 25, 17, 25, -58, 3, -6, 15, -4, 44, -6, 15, 15, 32, -15, 38, 8, 13, 35, 3, 14, -3, 21, 30, -1, -28, 1, 15, 39, -5, 1, 29, -13, 36, 4, -14, 2, -11, -3, -31, -30, -35, -13, -41, 15, -4, -22, -99, 4, -127, 11, 29, 10, 25, -16, -71, -25, 27, -40, -46, -31, 39, 21, 19, -30, 81, 7, 25, -48, -4, -9, 15, 4, 40, -18, 6, 9, 6, -8, 28, 8, 30, -1, 4, 10, -18, 14, 29, -9, -26, 24, 7, -6, 7, 2, 4, -1, 26, -5, -12, 9, -33, -16, 1, -18, -22, 4, -30, 10, -3, 3, -84, 32, -33, -14, 13, -48, 41, -31, -54, -15, -12, -1, -33, -2, 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-9, -4, -5, 36, 39, 15, 7, -38, 14, -10, 7, -13, 26, -9, 5, -8, 3, -1, -6, -35, 8, -3, 6, -44, -5, 32, -5, -8, 24, -6, 21, -15, 10, 8, -3, 5, 5, 1, 3, -12, 3, -9, -9, -3, 17, 13, 12, -3, 5, -7, 3, 11, 6, 5, 6, -14, 5, -29, 26, 0, 19, -2, 8, -18, 7, -2, -16, -13, -4, 4, 6, -20, -26, 43, 11, -23, 17, -15, 15, -10, 12, 11, -9, -127, -6, 1, 7, -43, -18, 11, 5, 15, 2, -3, 11, -13, 22, -8, -16, 9, -7, 1, 2, -33, 7, -16, 17, 2, -14, 11, -4, 6, 14, -12, -7, 7, -5, 2, 1, -23, -8, -19, 5, -5, 29, 6, 13, -18, 1, 0, -7, -17, 8, 7, -8, -32, -14, 59, 4, 19, 18, -4, 2, 0, 13, 10, -17, -30, -35, 1, -22, -36, 11, -27, 9, 23, 1, -5, -12, -7, -1, -15, -4, 26, -17, 3, -26, -36, 1, -21, 6, 2, 3, 1, -24, 5, 4, -5, -3, 2, 5, -4, -15, -17, -21, 19, -4, 3, 26, 16, -4, 4, -5, 8, -8, -12, -21, 7, -23, -16, -18, -44, 2, 16, 2, 11, -21, 11, -11, -9, 3, -9, -29, -1, -20, -17, -13, -27, -3, 0, 0, 11, -27, 6, -13, -18, 0, 26, 4, -4, -15, -12, -35, -39, 13, -4, 4, 14, -23, 4, -3, -9, -6, 3, 10, 2, -9, -17, 6, -21, -11, 26, -15, 29, -22, 23, 25, -6, -65, -21, -8, -10, -20, 12, -45, -18, 15, 76, -21, -22, -24, 50, -30, -34, -62, 46, -48, -12, -21, 35, -7, 6, 7, 15, 48, -9, -37, 54, 11, -30, -48, 127, 16, -34, 63, -13, -17, -5, -29, -54, 65, 57, -8, 13, 42, -7, -11, 60, 36, -28, 29, -78, 83, -20, 19, -78, 11, -1, 24, -64, 8, -5, 0, 22, 59, -19, 64, -18, -36, -79, 45, -107, -16, 67, 68, -81, -15, -17, 6, -55, 5, 9, 59, 33, -65, -31, 48, 71, -87, 27, 73, 2, -97, 4, -27, -126, -42, 11, -67, 64, 7, -8, 27, 46, -40, -33, -51, 72, -35, -18, -29, -38, 4, -71, -20, 11, 2, 40, -8, 22, 32, -5, -9, 11, 3, 8, 12, -8, 39, 0, -25, -15, 104, 7, 8, -2, 27, -14, -8, -4, 41, 12, 57, 4, 63, -13, 34, -19, 56, -107, 10, -60, -4, 44, 47, -87, 48, 22, 31, 0, 23, 22, 77, 21, 1, -24, 11, -27, -17, 52, 61, -82, -54, 5, 14, -20, -4, 25, 17, 23, -38, 13, -16, -24, 11, 14, -15, 9, 15, 2, -4, 6, -23, -16, 1, -12, -58, 45, -13, 20, 8, 3, -18, 33, -55, 6, 19, -22, -26, -35, -45, -15, 5, 15, -26, 9, 7, -13, -59, 49, 24, 19, 15, 6, -8, -27, -14, -14, 10, -2, -29, -21, 16, 0, 1, -7, 45, 11, -1, -28, -12, 3, 10, -19, 55, 6, -31, -26, 59, 7, -11, 2, -15, -6, -6, 51, 62, -12, 6, -3, 69, -2, 30, -15, 67, 35, 25, -19, -5, -46, -7, -127, 35, -3, -11, -62, 97, 71, 18, 15, -13, -7, 7, -28, 19, -17, 6, -105, -5, -3, -9, -31, 68, 0, 16, 7, -8, -16, -32, -25, 19, 37, 9, -7, -10, -1, -31, 27, -1, -17, -60, -14, 5, -8, -32, 17, -20, 5, -5, 51, -12, -29, 36, -52, -58, 76, -41, -77, 92, 46, 9, -7, -18, -60, 23, 66, 75, -1, 45, -54, -16, 86, -36, -70, 103, 71, 48, -75, 37, -37, 72, -77, -5, 12, 12, -89, 65, -103, -34, 13, 34, 36, 80, -93, 53, 24, 36, -88, -13, 28, 4, -53, -35, -27, -48, 63, 19, -10, -11, 15, 4, 5, 68, -51, -105, -8, -50, -52, -68, 93, -23, 24, 1, -40, 9, 37, -55, -57, 30, 45, -77, -13, 7, -86, -54, 37, -51, -47, 48, 15, -1, 36, 69, -71, 35, 45, 37, -16, 63, -45, 8, -14, -60, -16, 51, 39, 52, -7, 72, -19, 29, -13, 32, 15, 39, -57, -42, 36, -8, 7, -44, 26, -36, 18, 69, 20, 26, -50, -21, -25, -35, 7, -52, 0, 21, 17, -3, 24, -53, 5, -39, -11, -10, -93, -77, -9, 3, -33, -51, 54, -18, 13, 0, -30, -78, -1, -76, -19, 18, 46, -23, -35, -2, -30, -27, 70, -26, -14, 27, 3, -48, 16, -20, 3, -12, 2, 29, -30, 6, -10};
+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 120, 160, 16 },
+ .input_offset = 128,
+ .output_shape = { 1, 120, 160, 16 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 16, 4, 4, 16 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_002_conv_2d(const int8_t in[120 * 160 * 16], int8_t out[120 * 160 * 16]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_003_max_pool_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_003_max_pool_2d.cc
new file mode 100644
index 0000000..5eb472c
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_003_max_pool_2d.cc
@@ -0,0 +1,19 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+
+static const MaxPool2DOptions options = {
+ .input_shape = { 1, 120, 160, 16 },
+ .output_shape = { 1, 60, 80, 16 },
+ .padding_w = 0,
+ .padding_h = 0,
+ .filter_w = 2,
+ .filter_h = 2,
+ .stride_w = 2,
+ .stride_h = 2,
+ .quantized_activation_min = -128,
+ .quantized_activation_max = 127,
+};
+
+void layer_003_max_pool_2d(const int8_t in[120 * 160 * 16], int8_t out[60 * 80 * 16]) {
+ opt::MaxPool2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_004_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_004_conv_2d.cc
new file mode 100644
index 0000000..139508e
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_004_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1645115008, 1234896128, 1599163776, 1478619136, 1729087488, 1372055808, 1271880320, 1485987200, 1257744768, 1820661888, 2037194240, 1483334400, 1571231744, 1230362496, 1311153536, 1170147072, 1996935808, 1479406976, 1534820352, 1489705600, 1180345728, 1306306432, 1266678144, 2018981376, 1845589120, 1638683264, 1345511936, 1994093312, 1320371072, 1101437568, 1872301184, 1716703744, 1707865984, 1739454848, 1209973120, 1599519104, 1623948544, 1178798720, 1979613824, 1331941376, 2103757440, 1419679360, 1697810688, 1370898432, 1319434880, 1246986624, 1421587456, 1201347712};
+static const int32_t output_shift[] __aligned__ = {-8, -8, -9, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -8, -9, -8, -8, -8, -7, -8, -8, -9, -11, -7, -8, -8, -8, -7, -8, -8, -6, -8, -7, -8, -8, -8, -7, -8, -9, -8, -8, -8, -8, -8, -8, -8};
+static const int32_t bias_data[] __aligned__ = {3261, -1100, -610, -62, -707, -819, 2479, 437, -1440, -2368, -1192, 350, 702, -1625, 189, 431, 3015, 149, -578, 3632, 2300, -2377, 763, 3781, -8898, 937, -1719, 2373, -893, 0, 517, -577, -197, 168, -529, -569, 88, -1365, 297, 3542, -669, -6605, -131, -1169, -990, -240, -1344, 261};
+static const int8_t filter_data[] __aligned__ = {-14, 4, -3, -60, 13, -4, -44, -15, 3, -31, -23, -47, -86, 18, -22, -26, -13, 23, -7, 20, 9, 5, 5, -10, -14, -23, -4, -22, -26, 23, -20, 0, -10, 19, 2, 18, 0, 19, -1, 7, -37, -26, -40, -33, -33, 18, -9, 9, -12, 73, -5, -46, 14, -1, -31, 3, 0, -68, -6, -49, -29, 5, -12, -15, -13, 16, 5, 3, 7, -9, 22, 22, 19, -28, -13, -9, -13, -7, -11, -37, 3, 15, -5, -32, 26, 12, 7, 10, -15, 37, 23, 23, -34, -30, 2, -26, -16, -13, -1, -42, 1, 5, -48, 4, -68, 24, 2, 2, -28, -56, -6, -53, 1, 35, 4, 3, -4, 1, -44, 6, 44, -39, -14, 10, 8, -42, -11, 8, 1, 14, -14, -1, -2, 10, -21, -1, 1, -25, -5, -22, -24, -6, -19, -74, 7, 7, 10, 1, 12, 25, -78, 4, -9, -4, 5, -6, -35, -22, 9, 25, -6, -9, -4, -18, 15, -3, -127, 13, -41, -12, -1, -21, -12, -1, 13, -24, 5, 5, 7, 7, 0, -6, -93, 2, 1, -16, -12, -15, 11, -27, -26, -15, -25, 0, -11, -1, -4, -8, -117, 1, -9, -10, 1, -25, -43, -39, -11, -41, -20, -8, 6, 13, 3, -2, -84, 23, -1, -9, -19, -38, -15, -15, -17, -32, -23, -11, -17, 15, 8, 9, -73, 21, 3, 1, -35, -29, -4, -17, 3, -25, -14, -9, -4, 7, -1, -12, 17, 16, -21, -1, -22, -15, -2, -31, -16, -32, -38, -26, -49, -75, 5, -126, -15, -23, 18, 13, -22, -27, -45, 16, 3, 6, -4, 10, 38, 2, -52, -16, -42, 24, -12, -87, -23, -36, -57, 45, -10, 53, 42, 9, 12, 19, 8, -28, -45, 4, -33, -18, 66, 11, 8, -27, -8, 26, -1, -9, 13, 4, -8, -5, 14, -14, 3, -20, 28, 8, 39, -31, -5, 10, -95, 39, 77, -1, 22, 95, -57, 0, 55, -12, -50, 23, 38, 25, -12, -25, -76, 18, 96, 127, -15, -3, -8, 15, -55, 107, -91, -13, 94, -17, -29, 11, -45, -29, -29, 15, 39, -40, -8, -16, 39, 4, -9, -7, 37, -86, 32, 18, 2, -17, -30, -41, 20, 13, -7, -14, 18, -8, 9, -14, -1, -8, 21, -17, 76, 8, -4, 59, 5, 18, -29, -32, -12, 70, -1, 6, 73, -70, -29, -25, 73, -76, -2, -41, -3, -2, 19, -82, 8, 10, 21, 55, 22, 21, -41, 26, 6, -9, 65, -47, 22, 16, -22, -34, 25, -14, -14, 6, -72, 32, 10, -9, -2, 8, -7, -26, 27, 1, -57, -24, 19, -3, 18, -9, -12, -3, -14, -24, 43, -35, 31, -35, 3, -30, -2, 19, 11, -42, 10, -34, -2, 17, -31, -23, 21, -18, -6, -48, -4, 0, -38, 49, 4, -45, 76, -25, -55, -6, -21, -5, 10, 11, 19, 27, -7, -24, -39, 17, -16, 28, -1, -12, -16, 2, 5, 3, 1, 15, -9, 9, -1, -28, -19, 3, -5, -4, -4, -20, 23, -4, -5, -10, -50, -25, -20, -22, 27, 27, 35, 85, -24, 35, 26, 15, 3, 1, 8, 56, -81, 20, -8, 35, -82, -52, 9, 88, -101, 46, -13, 44, 116, 73, 8, -21, -78, 9, -28, -3, -12, -55, -23, -47, -35, 16, -87, -34, 73, 119, 31, -33, -7, 6, -54, 14, 38, -48, -16, 40, 39, 43, 17, -44, -18, 44, 44, 11, -26, 28, -25, 9, -1, 53, 59, -46, -18, 63, -47, -1, 82, 55, 0, 45, 6, -39, -127, -91, -64, -23, -13, -74, -52, -21, -81, 8, 67, 52, -88, -16, 30, -18, -1, -76, 0, 92, 4, -45, -80, -33, -62, -11, -21, 51, -70, -17, 35, 60, -32, -56, 16, 11, 12, 37, -38, 1, 16, -18, 35, 56, 6, -50, -16, 5, -70, 30, -46, 32, 49, -13, 40, 47, -65, -43, 101, 40, -99, -86, -20, -103, -56, -95, -27, 33, 17, -40, -27, -57, -34, -18, -3, 32, -119, -44, -1, -44, 8, -44, -46, 31, 50, -3, -74, 37, -62, 7, 32, 21, -30, 15, 12, -9, 18, -43, 16, 35, 21, -8, -37, -34, -41, 1, 35, 16, -17, -1, 0, 29, -6, -1, -38, -15, -37, -75, -34, -34, -6, -34, 114, 29, -50, -56, -8, -43, -25, -13, -41, -23, -50, -7, -28, -11, -36, -4, 72, 32, -52, -68, -12, 19, -3, 8, -11, 11, 37, -7, -17, 4, -30, -14, 58, 13, -15, 0, -5, 30, 23, -24, -42, 25, 36, -59, -32, 27, -33, 40, -18, 64, -10, -4, 47, -7, 39, 8, -53, 36, -10, 25, 4, 7, 12, 13, 37, 14, -36, 7, -55, -32, 35, 16, -23, -78, 54, -75, -42, -6, -39, -18, 19, -7, -10, -46, 38, -16, -18, -26, 44, -19, 7, 6, 42, -36, -29, 55, -29, -35, -30, -4, 13, -5, 21, -21, -26, -11, 18, 13, 7, -19, 19, 12, 27, -12, -3, 3, 59, -6, -98, -39, 29, 2, -30, 34, 78, -38, 47, 48, 39, 2, -48, -2, -28, 3, -73, -110, -51, -127, -65, -74, 9, -96, -20, -31, 29, -41, -56, -91, 31, 9, -78, -59, 30, -3, -36, -3, 10, -36, -21, 47, 17, -7, -49, -21, 1, 0, 39, 5, -5, -1, 3, 30, 16, -34, 11, 15, 17, 2, -36, -4, 52, -1, -26, -34, 35, -14, -39, 31, 52, -9, 47, -4, 36, -30, -39, -1, -49, -27, 34, -88, 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-35, 15, 12, 37, -29, -16, 8, 32, -11, -102, 15, -20, 28, -76, -41, 9, 14, 45, -31, -9, -124, -75, -43, -25, -22, 89, 51, -58, 21, 15, 3, 2, 27, -40, 2, -2, -27, -51, 19, 4, -25, 26, 17, -6, 24, 44, -21, 34, 24, -4, 19, 27, 11, -13, -14, 25, -39, 5, -20, 11, 5, -7, -15, 14, -17, -9, 2, 8, -16, -26, -7, 26, -70, 25, -16, -1, -9, 29, -18, -20, 24, 16, 28, 1, 29, 32, 15, -63, -12, 127, 17, -68, -44, 17, 53, -8, 0, -44, 6, -14, 41, 30, 85, -19, -7, 50, 9, -2, 8, -7, -3, 10, 54, -19, 15, -6, 27, 2, 27, 5, 5, -5, -2, -1, 19, 0, 5, -3, -27, 18, 21, -8, -9, -10, 1, 42, -50, -1, -36, 14, -1, -13, -4, 25, -5, 8, 33, -6, 28, 27, -11, 5, -8, 7, -26, 16, -27, -41, 30, 29, -9, 29, 3, 7, -16, -4, -10, 18, -13, 26, 21, -21, -6, -45, -8, 9, 9, -6, -19, -1, 18, -12, -9, 11, 8, 4, -4, -25, -11, -10, -15, 4, -12, 2, 8, 10, 4, 5, 4, -23, -49, 17, -1, -14, -15, -3, -49, -47, -26, -3, 7, -4, -5, -26, -30, 32, -9, 16, -13, 30, 25, -10, -4, -44, -20, 39, 24, -16, 11, -21, -20, 45, 21, 18, -14, 28, -8, 7, -32, -45, 8, 40, 9, -24, -10, -16, -11, -6, -27, 21, -23, 18, -18, 1, -28, -34, 28, 0, 15, 23, 27, 14, -35, 41, -27, 42, -17, 79, 20, 37, 19, -17, -12, 62, 3, 17, -15, -18, -35, -60, -25, -12, -27, -3, -39, -34, -46, -29, 19, 27, -28, 45, -9, -52, -81, 19, 2, -19, 3, 16, 28, -63, -41, 12, 6, -3, -10, -2, 19, -28, -12, -17, -2, 13, 12, 9, 2, -11, -6, -5, 11, -42, -3, 1, 36, -6, -13, -28, -20, 23, -18, -76, -75, -20, -87, -73, 43, -3, -127, -11, 35, -48, 18, -87, -38, 52, -23, -81, 39, -31, -34, -91, -14, -112, -50, -9, 83, -49, -22, 38, 17, 33, 38, -6, 35, 17, 48, 5, -22, 25, -32, -31, 49, 1, 24, -20, 11, 1, -8, 27, -19, -13, 58, -17, 10, 37, 12, 11, 20, -5, 9, -30, 74, 89, 13, 41, 71, -34, 13, -25, 3, -2, 14, 2, 56, -59, -50, 59, 41, 44, 3, 50, 59, 45, 46, -40, 21, 22, -10, -8, 44, 2, -39, 53, 22, -15, -5, 24, -26, -37, 53, 4, 17, 37, -18, 29, 0, -19, -22, 29, 9, 29, -10, 10, -12, 29, 33, -8, 39, 15, 4, 27, 8, 2, -13};
+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 60, 80, 16 },
+ .input_offset = 128,
+ .output_shape = { 1, 60, 80, 48 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 48, 4, 4, 16 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_004_conv_2d(const int8_t in[60 * 80 * 16], int8_t out[60 * 80 * 48]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_005_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_005_conv_2d.cc
new file mode 100644
index 0000000..73e3d09
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_005_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1773661440, 1623074688, 1609670784, 1248427136, 1229981824, 1277985152, 1985259136, 1822354176, 1886128768, 1085481600, 1095804800, 1198054528, 1183676672, 1835234816, 1177586816, 2045588480, 1896314624, 2057592320, 1612980096, 1893969280, 1551990400, 1743225472, 1706929792, 1134360704, 1871654144, 1380566528, 1506619520, 1269483904, 1209196160, 1653692672, 1323661440, 1172736256, 1081593856, 2008717824, 1079870848, 1707824896, 1694960512, 1751950976, 1177677440, 1872411776, 1307837056, 1469906304, 1274087808, 1722984192, 1195214592, 1789730688, 1233212416, 1141785728};
+static const int32_t output_shift[] __aligned__ = {-8, -7, -8, -7, -7, -7, -11, -8, -8, -7, -7, -7, -7, -8, -7, -8, -11, -8, -8, -8, -7, -8, -8, -7, -8, -8, -7, -7, -7, -8, -10, -10, -7, -8, -7, -7, -8, -8, -7, -8, -7, -10, -7, -8, -8, -8, -8, -7};
+static const int32_t bias_data[] __aligned__ = {438, 612, -2355, 1069, 1515, 2263, -1993, 1010, 842, -6, 124, 312, 834, 267, 1357, 163, -2093, 625, 913, 289, 769, 2169, -3083, 641, 50, 803, 281, 1131, 233, -357, -2825, -730, 505, 93, 1186, 530, 191, 1901, -2216, 602, 335, -2012, 618, -201, 2827, -1167, 1968, -1279};
+static const int8_t filter_data[] __aligned__ = {-41, 33, 0, -22, -28, -2, 29, -38, -67, -66, -4, -30, -14, 33, 4, 6, 13, 3, -16, 35, 32, -38, -4, 5, 6, 14, 5, -31, -7, 25, -5, -30, 7, 23, 11, -19, -11, -17, -15, 1, 8, -36, 45, -49, 0, -24, 16, 14, -65, 19, -17, -7, 6, 12, 36, -30, -14, -11, -2, 5, -57, 42, 22, 55, -18, 17, -29, 5, -5, 11, 28, 25, -8, 29, -36, 7, -12, -29, -23, 11, 37, 22, 7, -2, -15, 36, -33, -4, -36, 76, -35, 35, 12, 6, 31, -6, -17, -22, -35, 7, 6, 36, -24, -4, 13, 27, -4, 11, 1, -19, -29, -7, -7, -5, -43, -9, -65, 11, 13, -16, 6, -36, -46, 19, 28, -2, -33, 15, 7, 8, -25, -15, -40, -10, -11, -9, -8, 25, -49, 28, 27, 6, -32, -22, 39, -10, -6, -2, -10, -4, 13, 19, 4, 15, -3, -22, 12, -15, 0, -29, 12, 16, 35, -19, -73, -2, -12, -48, 6, -1, 26, 16, 15, 20, 25, 2, -17, -3, -2, -30, -14, 3, 33, 17, 10, -2, -5, -19, -43, 34, 14, -1, 3, 15, 22, 2, -47, -16, 5, -19, -28, -8, 7, -18, 20, -24, -21, -13, 18, -12, 31, 10, 29, -49, 2, -29, 5, -23, -31, 63, 63, -2, -25, -24, -1, 19, 0, -1, 25, -12, -10, -2, 19, -44, 60, -3, 2, -38, 4, 11, -6, 14, 1, 1, 17, -11, -14, -5, -7, -6, -21, -1, 9, 39, -41, 44, -67, 21, 3, -27, -11, 37, 8, 23, -4, 24, -94, 10, 11, -4, -22, 11, 38, 35, 74, 26, -26, 46, -23, 3, -24, 44, 61, -12, -2, 17, -4, -15, -13, -30, -33, 6, -28, 18, -58, -1, 14, 12, -3, 10, 28, -5, -9, -27, -22, -60, -26, -14, -29, -40, 2, -24, 0, -51, -43, 32, 33, -18, -80, 8, 0, -27, 3, 1, -20, 10, -8, -4, -13, -81, -17, -20, -1, 24, -47, -23, 24, 22, 6, 13, 0, -27, 13, 15, 22, 23, -10, -19, 14, 2, 10, -33, 10, 21, 18, -1, -13, 11, -3, -21, -1, -35, 41, 17, 15, 1, 36, -21, -102, -15, -17, -21, -4, -38, 26, -7, 9, 28, -18, -15, -14, -20, 30, -9, -5, -10, 3, -4, -6, 13, 21, 7, 4, -32, -23, -10, 5, -27, 22, -46, 33, 4, 7, -16, 20, -12, -9, -33, 7, 20, 6, 4, -20, -20, -21, -38, -3, -15, -29, -25, 9, -14, -6, -18, 11, -10, 12, -13, -56, -25, -1, 21, 8, -45, -20, 7, 2, -10, -5, 9, 0, -56, -8, -1, 24, -1, -2, -21, -38, 9, -6, -51, -11, 63, 2, 27, -9, 40, -59, 13, 0, -20, -36, 1, 53, -42, 57, 12, -27, -23, 8, -16, -21, -47, 14, -26, -1, 41, -24, 19, -31, -41, -9, -43, -41, -7, -78, 0, -17, -127, -20, 12, 24, -6, 29, -9, -23, -58, -14, -6, -1, -49, -5, 12, -2, -11, -32, 27, 28, -21, -68, -34, -3, -52, 18, 3, -26, -42, 7, -3, -18, -24, -25, 0, 18, 6, -25, 5, 24, 30, -27, 4, 9, -31, -19, -6, -6, -4, -3, -44, 7, -9, 31, -6, 7, 1, -11, 18, -21, 9, 6, 4, -5, -13, 45, 10, -2, -4, 31, -70, -103, 19, -1, -6, 12, 28, 11, -14, 16, 23, -19, -20, -17, -26, 34, -25, -21, 23, -26, -19, -13, 13, 14, -20, -17, -24, 1, 24, -17, -26, 8, 28, 45, -6, 0, 0, 39, -59, -4, -26, 9, 13, 37, -53, -46, -23, -6, -24, -13, -13, 1, 7, 1, -16, -12, -31, -32, -30, -22, 9, -24, -21, 22, 4, -26, -7, -24, -27, -29, 21, -23, 18, 4, -31, -8, 6, -60, -14, 25, 36, -11, 6, -4, -47, -11, -2, 16, 46, -7, -8, 26, 2, -6, -26, -36, -18, 12, 14, 7, 19, -37, -19, -22, 15, -32, -15, -20, 49, 22, -38, 8, 11, -51, -23, -20, -39, -4, 58, -26, 21, -29, 64, -11, 12, 3, 1, 11, 17, -37, -14, -12, 8, -30, -36, -15, 11, 6, -8, 6, 18, 31, 11, 2, -4, -2, 51, -9, -16, -9, -1, -39, 21, -8, 24, 1, 22, 5, -39, -4, 10, 23, -4, -31, 18, 17, 26, 21, -5, -16, 42, -9, -37, -10, -25, -19, 0, -10, -12, -8, 59, -52, 0, -8, -3, -7, -24, 4, 11, 6, 25, 13, 8, -16, 67, -21, -18, 22, 42, -13, 7, -5, -4, -7, 7, -28, -18, -11, -24, -25, -16, 8, -2, 9, 4, -23, 2, -2, 13, 15, -5, 12, 7, 0, -28, 11, -9, -8, -12, -3, 10, -32, 11, -3, -28, 12, -19, -13, 1, 40, 22, -127, -36, -3, -44, -2, 4, 13, -9, -7, -10, 13, -23, -23, -3, -31, 10, -8, -3, -32, -17, -7, -4, -10, 1, -8, 16, -38, -32, 2, -19, -1, -7, 3, -7, -10, 12, 9, 1, -28, 2, 4, -20, 7, -13, -16, 3, 8, 20, -93, -13, 23, -28, -17, -11, 7, 6, -13, 16, 11, -45, -21, 4, -15, -4, -14, -13, -28, -12, 5, 0, -15, 9, 3, 11, -23, -7, 5, -31, -3, 6, 4, -4, 10, 8, 9, -5, -19, 11, -2, -5, 0, -13, 16, 3, -4, -5, -82, -12, 16, -20, -2, 5, 11, 7, -3, 25, 4, -35, -12, -2, 5, -6, -21, 1, -16, -13, 7, 6, -3, 5, 16, 21, 11, 7, 3, -6, 2, -5, 14, -4, 6, 1, -7, 0, -27, 4, 0, -19, -2, 2, 15, 30, -16, 12, -38, 12, -2, 0, -1, 11, 3, -2, -1, -7, -6, -6, -1, 8, 1, -21, -29, -13, 16, 9, 6, -4, -12, -3, -3, 2, -27, -9, 10, -22, 1, -12, 6, 9, -17, -10, 8, 4, -13, -2, -5, -33, 9, -13, 7, 7, 10, 2, -37, -30, -4, -20, -13, 14, 4, 3, -4, -10, -3, -23, -1, -13, -14, 19, -7, -18, 11, -13, 9, -6, 13, -9, -23, -10, -58, -11, 8, -28, 15, 4, -11, 5, -4, 9, 15, 3, -13, -14, 5, -21, 4, 5, -8, -3, 1, 14, -54, -16, -8, -38, -34, -14, -8, 8, 6, -3, -7, -38, -23, -17, -12, -2, -15, -18, -4, -7, 15, -5, -17, 15, -26, -14, -6, 14, 8, -33, 9, 7, 2, 4, 16, 9, 13, -3, -19, -4, -1, 0, 3, 12, 8, 4, -8, -10, -23, -4, -8, -23, -7, 3, 4, 10, 3, 10, -4, -26, -23, 13, 5, -5, -8, 5, -16, -8, 2, 7, -2, 2, -14, 13, 18, -11, -2, -11, -3, -14, 17, 0, -6, 15, -9, -10, -8, 12, 3, 21, -10, 31, 8, 4, -20, 16, -30, -16, -14, -5, 0, 13, -1, 5, -1, -12, 8, -7, 4, 0, 12, 13, -13, -2, -27, 6, -12, 5, 2, 6, 4, 0, -26, -18, 2, -19, -3, -3, 9, 11, -24, -6, -2, 18, -9, -22, -2, -5, 17, 2, 5, 0, -2, 4, -2, -21, -6, 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-39, 27, 47, 3, -98, -27, -27, 8, 6, -24, 0, 14, -32, -1, 25, -34, 19, 15, 10, 17, -120, -25, -127, 20, -27, -42, -5, -33, -15, 31, -4, -7, -73, -5, 33, -10, 16, -46, -48, 54, 16, 9, -5, -8, -3, -31, 41, -13, -10, 37, -33, 16, -98, -47, 0, 38, -11, -20, 32, 7, -13, -5, 48, 17, 35, -18, -39, 28, -47, 23, -107, 27, -79, -20, 14, 1, -15, -19, -22, -15, -5, -53, 21, -3, -6, -30, -9, 44, -4, -5, 12, 5, 18, -32, 37, -25, 31, 0, -67, -11, -107, -22, 7, 24, -29, 41, 26, 13, 15, 24, 8, 38, 38, -22, -74, -4, -5, 3, -9, 18, -30, -71, 11, -3, -2, -9, -4, 33, 11, -11, 10, -1, -13, -59, -49, -12, -36, 22, -9, -21, 11, 32, 20, -14, -4, -1, -30, -34, -11, 1, -17, -9, -24, 14, -3, -5, -18, 8, 9, -22, 22, 10, -39, -1, 0, 12, -24, 31, -17, 29, -15, -16, -2, -24, 10, 9, -16, 32, 21, 0, 12, 62, -66, -47, -2, 6, 3, -21, 1, -26, -18, 34, 17, -13, 11, -22, -38, -16, -46, 21, -13, 24, 14, -20, -19, -3, 2, 13, 18, -23, -56, 3, -18, -62, -46, 26, -34, -39, 2, 39, -29, 40, -16, -43, -58, 5, 4, 8, 21, 92, -40, 21, 36, -17, -6, -7, 20, 7, -16, 8, 17, -18, 21, -42, -52, -33, 16, -11, -100, 23, 22, -2, -38, -31, 8, 60, 19, 9, -71, -51, 37, -59, -71, 23, -19, -83, 17, -45, 26, 1, -21, 19, -36, -17, 6, 19, -21, 64, -41, 26, 35, -36, 5, 29, 7, 12, -16, -39, 36, 7, -2, -31, -37, -29, 9, -14, -111, 16, 29, -34, -63, 8, 21, 42, -24, 10, -40, 32, 8, -5, -25, 29, -3, -41, 14, -16, 2, -9, -2, 20, -2, -1, 1, 22, 7, 8, 3, 6, -47, 0, 10, 37, -3, 29, 17, -7, 19, -25, -35, -42, -22, 2, -7, -9, 3, 20, 2, -24, -32, 4, -8, 60, -32, 19, -7, 1, -19, -19, -28, 20, 48, -13, 5, 1, 32, 24, -16, 8, -24, 17, -22, -6, -2, -11, -7, 23, 5, -8, 13, -6, 23, -9, 4, 21, -22, -2, 19, 34, -17, 17, -1, 23, 1, 31, -25, -27, -5, -3, 35, 16, 10, -19, 4, 23, -42, -23, -15, 27, 16, -12, 4, 23, -2, 27, -12, 8, 14, 3, -5, -1, -6, 9, -60, 33, 16, 22, 2, 14, 18, -12, 38, 29, 13, -3, -13, -2, 26, 17, 34, 20, -54, 34, 2, -37, -32, -20, 45, -24, 6, -9, 40, 7, 14, -2, 20, 48, 9, -20, -23, 22, -5, -6, -25, -24, 0, 14, -3, 6, 9, -4, -51, -23, -8, 26, -8, 30, 28, -14, -2, 38, 19, -23, -10, 0, 24, 18, -24, 11, -6, -1, 2, -48, -13, -26, 11, -12, -18, -13, 49, 29, 25, -12, 7, 19, -10, -31, 12, 13, -16, -3, -29, -28, 14, -1, -31, 3, -16, -58, -5, -21, -44, -5, 9, 32, 19, -32, -12, -15, -2, 12, -5, -16, 17, 10, 2, -3, 24, -10, -22, -53, 12, 40, -3, 48, -3, -6, 13, 12, -5, 18, 35, -23, 4, -31, 7, 22, 8, 7, 5, -27, -10, -14, -11, -4, -23, 0, -1, -3, 7, 9, -4, 1, -18, -17, -29, -9, 21, 7, -16, 23, 27, 50, -1, -35, -15, -16, -4, -27, -1, 7, -4, 8, -22, 33, 30, 31, 24, 61, 22, -53, -10, -40, -36, 11, -13, -35, -9, 9, -11, -13, 1, -31, -30, -5, 8, 0, 14, -23, -6, -13, -6, -12, -32, 17, 8, 0, -13, 1, 10, 53, 1, -21, -13, -42, -12, 2, 21, -1, -41, 1, 0, -8, 24, -10, -8, 37, -2, -13, -42, 4, 6, -25, 8, -27, -1, 10, -10, -22, -27, -15, -17, 20, 6, -16, 10, -18, 1, -8, -15, -31, -36, 24, 0, -8, -3, 4, 24, -4, -1, -13, -6, -17, -15, -18, -1, 12, -20, 17, -17, -16, 6, 34, -19, 17, -7, -13, 2, -11, 38, 1, 9, -45, -17, -21, -15, 11, -26, 13, -6, 23, 4, -18, 4, -1, 5, 1, -7, 1, -52, -1, 21, 3, -7, 39, 21, 22, -26, -20, 7, -27, 15, -1, -8, -1, -28, -9, -1, -6, 2, 3, -8, 23, 28, -25, 23, -4, -2, 15, -13, -17, 29, -16, 9, -13, -7, 9, 1, 38, -30, -5, 11, -1, 5, 42, -21, 7, -25, 29, 12, 26, -16, 36, -5, 48, -20, -12, -2, -6, 4, 9, 0, 18, -15, 2, -4, 13, 22, 5, -11, -11, 15, -31, -9, -25, -4, -26, 17, -23, 23, -8, 2, -7, -17, 16, -5, 1, -27, -64, 26, -14, 0, 25, 3, -20, -38, 36, 15, 30, 23, -10, -27, -75, -16, -28, 24, 10, -7, -2, -11, 26, -43, -44, 0, -7, 20, -7, -15, 25, -7, -45, -6, -4, 9, -20, 20, -24, 23, -38, 10, -15, -32, 15, 1, -11, -37, -14, -21, 11, -6, 13, -20, 0, -57, 38, 14, 12, 37, -23, 15, -28, -23, -24, 22, 2, -15, 2, -17, 14, -32, -34, 2, 31, 24, 42, -8, 17, 11, -18, -1, 8, 3, -23, 7, -4, 11, 12, -1, -4, -6, 40, -22, 8, -17, 1, -13, 17, -5, 19, 9, -26, -13, 0, 30, -23, 3, 1, 0, 9, -15, -31, 6, 10, -2, 11, -6, 33, -25, -19, -6, 40, 23, 18, -15, 2, -25, -27, 4, -44, -1, 16, 14, -15, 8, -2, 6, 19, -5, 12, -22, 43, -127, -46, -3, 0, -4, 20, -12, 8, 1, 45, 14, -22, -62, 59, -20, -30, 19, 12, 29, -6, -6, -1, -9, 12, -34, -4, 0, 14, -17, 9, 35, 26, 2, -58, 12, -36, 13, -57, 22, -7, 16, 6, 23, -10, -11, 9, -10, 21, -66, -3, -6, 17, -1, 32, 3, -10, -52, 18, 19, -36, -17, 17, -5, -16, -13, -29, 24, 6, 4, -5, -22, -17, -23, -26, -6, 19, -19, 16, 45, 2, 18, -43, 13, -34, 15, -2, 17, 18, 8, 7, 7, 1, 17, 20, 9, 3, -77, 22, 3, 12, 5, 7, 3, -31, -49, 5, 6, -4, -5, 5, 15, 20, -37, -19, 4, 5, 7, -26, 4, 11, -32, -78, -8, 19, 25, 48, -7, -4, 14, -23, 7, -8, 0, -8, 13, -15, 6, -20, 17, 1, 16, 26, -8, 21, -20, -16, 4, -1, -4, 19, -14, 16, -19, 8, 5, -16, 27, 18, -2, 12, -18, -15, -14, 14, 10, 4, 13, 9, -1, 0, -16, 11, -28, 42, 7, 13, 19, -1, -13, -63, 10, 10, 18, 2, -7, 2, 4, 1, 15, 8, -38, -55, -46, -13, 0, -5, 1, 16, -12, -42, -9, -12, 9, 3, 19, -2, 10, -6, -39, 1, 23, 11, -2, -7, 19, 5, -19, 18, 2, -1, -3, 22, 39, 32, 12, -15, 9, -2, -5, 3, 20, 20, 7, -18, -3, -1, 4, 8, -13, 3, 7, 7, 7, 16, -2, 6, -2, 0, -11, -8, 6, -13, 42, 28, 7, 19, -6, 7, -9, -22, 0, -12, 2, -11, -3, 7, 0, -5, -13, 29, -4, 12, -3, -2, -6, 11, 3, 17, -16, 5, 10, -4, 4, -6, -4, 11, -23, 1, 23, 25, 25, 18, 1, 6, 0, 13, 14, 5, -4, 5, 20, 50, -6, 22, -1, 2, -26, 1, -14, -23, 22, -8, -12, 18, -5, -14, -12, 25, -12, 36, -3, -18, 5, 6, -21, 1, 15, -50, 17, -21, 3, 8, -1, 4, -25, 2, 1, -3, 10, 6, -6, 15, -1, -3, -17, 33, 2, 2, 48, 24, 4, 1, 0, -10, -8, -7, 4, -9, 10, -1, -6, -18, -6, -6};
+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 60, 80, 48 },
+ .input_offset = 128,
+ .output_shape = { 1, 60, 80, 48 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 48, 4, 4, 48 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_005_conv_2d(const int8_t in[60 * 80 * 48], int8_t out[60 * 80 * 48]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_006_max_pool_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_006_max_pool_2d.cc
new file mode 100644
index 0000000..39b7113
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_006_max_pool_2d.cc
@@ -0,0 +1,19 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+
+static const MaxPool2DOptions options = {
+ .input_shape = { 1, 60, 80, 48 },
+ .output_shape = { 1, 30, 40, 48 },
+ .padding_w = 0,
+ .padding_h = 0,
+ .filter_w = 2,
+ .filter_h = 2,
+ .stride_w = 2,
+ .stride_h = 2,
+ .quantized_activation_min = -128,
+ .quantized_activation_max = 127,
+};
+
+void layer_006_max_pool_2d(const int8_t in[60 * 80 * 48], int8_t out[30 * 40 * 48]) {
+ opt::MaxPool2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_007_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_007_conv_2d.cc
new file mode 100644
index 0000000..a978bc9
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_007_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1235840384, 1520469760, 1656859392, 1103093504, 1192854784, 1402908288, 1974709120, 2034447360, 1915563136, 2014775808, 1508993280, 2121016064, 1271486208, 1606426880, 1085270272, 2108678528, 1136288512, 1476413824, 1077808640, 1191061632, 1377805056, 1174791424, 1787043840, 1674404736, 1426900608, 1546138368, 1380396544, 1702080640, 1121365376, 1144420608, 1122488192, 2145134464, 1461154944, 1595052160, 1907144704, 1077003520, 1422688768, 1585130880, 1286683520, 1865152512, 2139474304, 1527320576, 1511848704, 1287305984, 1644075392, 1597290624, 1482921984, 1820744064};
+static const int32_t output_shift[] __aligned__ = {-9, -9, -9, -8, -11, -9, -9, -10, -9, -9, -8, -10, -9, -9, -8, -10, -8, -9, -8, -8, -8, -9, -9, -9, -9, -8, -9, -9, -8, -8, -9, -9, -9, -9, -9, -8, -9, -9, -9, -9, -10, -9, -8, -9, -9, -9, -9, -9};
+static const int32_t bias_data[] __aligned__ = {1297, -845, -2096, -1360, -1355, -653, -396, -1309, 399, 193, 766, 497, 89, -454, -417, -1449, -363, -95, 17, -313, 510, -233, -241, -463, 568, 71, 186, -1829, -108, -226, -4205, 476, -372, -1551, 1143, -436, 185, 170, -268, -20, -444, -1136, -592, 697, -848, 407, -540, -72};
+static const int8_t filter_data[] __aligned__ = {68, 30, -15, 8, -15, -29, -9, 16, 1, 40, -49, -15, 12, -12, -17, 28, -1, 12, -60, -54, 14, 60, -58, -5, 13, -73, -20, -56, -17, 21, 11, 12, -23, 27, 19, -7, -66, -34, -48, -27, 6, -3, 26, -7, 73, 15, -57, 34, 47, 27, 52, -17, -15, -30, 15, -29, -13, -1, -3, -2, 25, 5, 33, 48, -1, 0, -31, 61, -19, 55, -62, 16, -2, -21, 7, 12, -30, -15, -22, 0, 55, 22, -39, -21, -53, -11, -35, 32, 4, -16, 5, 29, 36, -6, 11, -55, 75, 20, -54, -35, -33, 16, 5, -34, -20, 50, -37, 43, -2, 23, 8, 18, 3, 7, -15, -37, -6, 76, -27, 0, 19, -2, 7, -24, 11, 30, -22, 2, 19, 6, -45, -25, -58, -43, -22, 24, -3, 7, 5, 4, 36, -13, -16, 9, 24, 26, 15, -30, -16, 0, -17, -28, -51, -15, -27, 35, -8, -10, 44, 55, -10, -10, -26, -35, 39, 99, 43, 10, 26, -2, 5, -4, -16, 2, 6, 13, -28, -4, 10, -18, -53, -42, -16, -11, 9, -5, 14, 13, 51, 20, -6, -43, 46, -11, -8, -2, 5, -1, 3, 10, -2, 19, -42, 3, 33, 24, -17, 34, 3, -6, -58, -23, 10, 43, -81, 21, -6, -7, 10, -15, 30, 25, -15, 16, 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+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 30, 40, 48 },
+ .input_offset = 128,
+ .output_shape = { 1, 30, 40, 48 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 48, 4, 4, 48 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_007_conv_2d(const int8_t in[30 * 40 * 48], int8_t out[30 * 40 * 48]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_008_max_pool_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_008_max_pool_2d.cc
new file mode 100644
index 0000000..8395f14
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_008_max_pool_2d.cc
@@ -0,0 +1,19 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+
+static const MaxPool2DOptions options = {
+ .input_shape = { 1, 30, 40, 48 },
+ .output_shape = { 1, 15, 20, 48 },
+ .padding_w = 0,
+ .padding_h = 0,
+ .filter_w = 2,
+ .filter_h = 2,
+ .stride_w = 2,
+ .stride_h = 2,
+ .quantized_activation_min = -128,
+ .quantized_activation_max = 127,
+};
+
+void layer_008_max_pool_2d(const int8_t in[30 * 40 * 48], int8_t out[(15+1/*pad for overwriting*/) * 20 * 48]) {
+ opt::MaxPool2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_009_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_009_conv_2d.cc
new file mode 100644
index 0000000..f9bcac2
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_009_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1493975552, 1797261696, 1676874496, 1131876736, 1348498944, 1580848000, 1568352512, 1767457408, 1649112064, 1832220160, 1520715264, 1193855104, 1511652736, 1238949888, 1359166464, 1494938496, 1737425024, 1140826240, 1931641600, 1649400192, 1381779584, 1333091840, 1312907392, 1693493888, 1156483584, 1669744000, 1623688704, 1124347776, 1491091328, 2112789376, 1616939776, 1232405120, 1458777984, 1140046848, 1074182016, 1239811456, 1239671808, 1956020224, 1380422016, 1837811840, 1669056768, 1458348800, 1396052224, 1498290432, 1077945472, 2139116032, 1473277952, 1164584576};
+static const int32_t output_shift[] __aligned__ = {-8, -9, -9, -9, -9, -9, -9, -9, -9, -9, -9, -9, -8, -9, -8, -9, -9, -8, -8, -8, -9, -9, -9, -9, -7, -9, -9, -8, -9, -10, -8, -8, -9, -9, -9, -8, -8, -9, -8, -9, -9, -9, -8, -8, -8, -9, -8, -8};
+static const int32_t bias_data[] __aligned__ = {-177, 205, -376, 191, -115, 224, -181, 749, 240, -21, 642, 210, 83, 526, 106, -31, -159, -422, 8, -116, 41, 802, 185, 559, -2, -167, 91, 111, -561, 184, -280, -192, -743, 460, 993, 77, 350, 331, -62, 191, 513, -60, -265, -109, -152, 465, 125, -31};
+static const int8_t filter_data[] __aligned__ = {-10, -14, -57, -16, 5, 33, -41, -33, 11, -46, -31, 12, -2, -30, 2, -1, -50, 15, -34, -39, 19, -27, -28, -11, -25, -51, -36, -16, -25, -55, 7, -8, 32, -36, -1, 26, -16, -39, -10, 113, -29, -13, 127, 10, 15, 39, -10, 17, 5, -4, -51, -43, 2, 0, -25, -36, 11, -42, -25, 54, -61, -45, -12, -29, -22, 27, -17, 77, 8, -13, 14, -9, -38, -56, 44, 2, 14, -23, 15, 13, 11, -57, -66, -4, -3, -31, 10, 27, -77, -11, 86, 7, 59, 17, 1, -41, 8, 9, -5, -17, 3, 0, -6, 0, -9, 17, 8, -17, -2, -1, -4, 35, 18, -2, 13, 16, -15, 0, -8, 9, 12, 14, 15, 4, -10, 19, -9, -1, 10, -3, 7, -12, -3, 25, 5, 6, 4, 3, -6, 3, -5, -1, 2, -4, -3, 2, -10, -21, 1, -6, -20, -15, -7, 8, 3, 6, 12, 1, 4, 1, 17, -6, 9, -4, -5, 6, 13, 1, 6, 6, 18, 0, -10, -11, -13, 11, 22, -12, 11, 1, -5, 2, 2, 10, -9, -2, 50, 5, 24, 1, -15, 8, -39, 5, -25, -31, 0, -11, 13, -29, -53, -27, -51, -9, 19, 29, 50, -30, -30, 17, -12, -26, 42, -23, 4, -7, -59, -39, 9, 4, -2, -53, 5, 7, -35, -23, -2, 34, 6, -7, -6, 30, -37, -31, 17, 21, 27, -13, -15, 9, -4, -9, -19, -25, 3, 22, -15, -24, -44, -7, -30, 3, -41, 16, 14, -68, -43, 9, 30, -5, 15, -1, 9, -15, -45, -31, 24, 5, 8, -34, -2, 2, -37, -11, -3, 6, 8, -18, -8, -19, -46, -14, -46, -23, 24, -6, -10, -7, 0, -3, -6, -8, 0, -5, 12, -3, -12, 4, -34, 3, -12, -8, -8, -8, -15, 3, 0, 0, 9, -7, 15, 2, 2, 4, 2, 2, -18, 2, 3, -19, -1, -10, 9, 5, 8, -12, -5, 12, 6, -9, 8, 1, -23, 1, -9, 5, 0, 7, -4, -18, 2, 0, -1, -13, 5, 13, 4, 7, -5, 9, -8, -4, -4, -3, -7, 4, -2, 8, 8, 2, 8, -1, -5, 5, 0, 1, -6, 15, 6, 0, 3, 8, -3, 11, -9, 3, -11, -7, 11, -8, 12, -6, -2, 3, -26, -7, -30, -10, 3, 3, 6, -10, -29, -26, -13, -7, 14, 52, -13, 15, 2, 11, -33, 4, 28, -25, 14, -19, -30, 5, 22, 2, -21, 24, 5, 2, 11, -63, -9, 22, 15, 8, 23, -14, -20, -15, -2, -32, -9, 1, -25, 30, -5, 16, -6, -32, 5, 35, -21, -26, -8, -5, -4, -6, -8, 19, -11, -20, 16, 19, -8, 6, -32, -15, -17, -18, -18, 3, 0, 0, -6, 2, 12, 39, -3, -33, -4, 7, 11, -1, 0, 12, -18, -11, -20, 15, -27, -6, 1, 21, -4, 5, -13, -14, 0, 6, 0, 6, -10, -6, -13, -5, 15, -17, 4, 17, 10, 4, -6, 7, 17, -5, 3, 7, -2, 1, -13, -2, -4, 8, 2, -5, 1, -21, 2, 0, -4, -11, 6, 2, 14, -9, 3, 13, 0, -11, -2, -12, 10, -7, -6, -4, -2, 0, -2, 4, 1, 6, -4, -1, -5, 12, 3, -8, -3, -3, 10, -6, 0, -6, 6, -1, 6, 1, -1, -3, 1, -3, -6, 17, 9, -7, -1, -3, -6, 8, 7, 5, -5, 0, 0, -2, 18, 1, 8, 0, -7, 2, -13, -7, -3, 25, -23, 0, 14, -3, -13, -14, 1, 28, 0, -6, -21, 14, -31, -1, 17, -14, -2, -14, 6, 6, 10, -2, -4, 12, -12, 18, -10, -16, -24, 24, 5, -33, 71, -4, -9, -16, 0, -41, 10, 19, -35, 36, 1, 6, -14, -17, 1, 24, -25, -13, 16, -8, -16, -4, 3, 4, -1, 0, 7, 30, 2, 5, 17, -21, -25, -11, -20, -6, 14, -4, -15, -6, 13, 60, -8, -9, -13, -9, -2, -24, 14, 10, -24, 4, -16, 14, 3, 13, 5, -10, 6, -4, -2, -3, -4, 23, -20, -8, 8, 0, 1, -4, 4, -3, -1, 10, 1, 12, -17, 8, 4, -3, 5, -5, -14, 3, 6, -2, -9, 1, 5, 21, 1, -13, -12, -3, 0, 21, 1, 8, 9, -7, 16, 4, -6, 1, -3, -5, 3, 4, -6, 3, 2, 19, -7, -4, 6, 11, 2, -13, -2, 0, -10, 5, 4, -3, -4, 7, -23, -8, 5, 5, 3, 6, 9, -3, -7, 3, -8, -13, 4, -13, 4, 8, 4, 9, 11, 3, 11, 5, 5, 2, -2, -4, 17, 5, -6, -45, -8, -54, -4, 25, -8, 12, -13, -48, -37, -12, -6, -22, -12, -21, -19, -55, -24, 16, -47, -23, 21, -3, -3, -6, 22, -11, -3, 17, -29, 30, 4, -7, 6, -12, -12, -10, -9, -12, -10, -22, 19, -24, 78, 2, -7, 15, 17, 17, -26, 6, 1, 1, -24, -47, -17, 7, -27, 4, 20, 45, 21, -38, -3, -35, -6, 34, 42, 16, -2, 5, -80, -31, 45, -28, 16, -7, -57, 27, -1, -22, 25, -10, -7, 11, -5, 59, 40, -40, 14, -7, 62, 24, 5, 23, 33, -2, -63, 16, -6, 7, 0, -77, -55, -17, -62, -22, -13, 28, 27, -30, -43, -15, 20, -10, -67, 5, 26, 45, -58, -34, -20, -35, 29, -40, -40, 11, 13, -43, 19, -65, -29, -34, -57, 16, 46, -29, 39, 0, -25, 29, 37, 33, -15, 9, -8, -5, 9, 28, 26, -68, -16, 4, -34, 11, -11, -7, 14, 5, 1, -32, -13, 34, -33, -4, 40, 25, -17, -15, 0, -54, 44, 0, -7, 3, 11, -13, 23, -10, -24, -50, -4, -11, -35, -32, 4, 27, -5, 4, -8, 25, 22, -8, -9, 3, -3, 50, 1, 43, -13, 8, 28, -8, 33, 5, -4, 7, -29, -7, -33, -3, 27, 19, 19, 4, -36, 27, -17, -19, 8, 3, 33, 9, -23, 15, 0, 4, 0, 1, 37, -6, -90, 5, -28, 0, 26, 3, -1, -6, -44, -24, -44, -35, -1, 40, 17, -4, -11, 31, 11, 2, 62, 37, 15, 3, -1, -28, -31, 25, 36, -25, 28, 9, -25, 13, 36, -30, -6, -9, 11, -8, -15, -5, -4, 10, 11, 11, 8, 0, -61, -33, -7, 2, 69, 36, -41, 26, -13, -3, -27, 3, -8, 79, -17, -109, -18, 16, -12, 14, 47, 28, 13, -20, -6, -31, 4, -16, -18, 2, 15, 25, 5, 3, -6, -24, -14, -27, 2, -13, -9, 8, -92, 18, 16, -39, -18, -7, -69, -40, -23, -17, 14, 43, -21, 8, -1, 41, -13, -6, 8, 54, -32, -28, 27, -4, 2, 18, 14, -7, 0, 14, -9, -23, 8, 0, -6, 16, -15, -1, -34, -10, -11, -19, -18, -1, 15, -19, 9, 17, -21, 18, 70, -21, 28, 4, -14, -30, -53, -33, 29, -14, -6, 24, 26, -1, -6, -9, -3, 53, -1, 30, -32, 12, -18, 3, 11, -28, 4, -21, 24, 10, 6, 4, 31, 19, 7, 12, -46, -11, -9, -15, -6, 17, -1, 10, -9, 17, -10, -13, -19, -31, 22, -1, -45, -7, -33, 33, -1, 18, 9, -10, -11, -30, -12, -13, 1, 38, 1, 14, 10, 32, 9, 13, 27, 11, 2, 26, 15, 14, 12, 1, 38, 22, 30, -2, -39, 37, -1, -14, 38, 2, 28, 2, -25, -14, -31, -9, 1, 19, 10, -4, -40, -48, -18, -23, 9, -2, -18, -27, -7, 0, -14, 2, 7, 28, 2, 30, 38, 21, 17, 24, 10, 3, -19, -26, -8, 21, 16, 21, -17, 6, -10, -3, 8, -5, -8, -39, -34, 0, 26, -49, -23, -4, -127, 10, 13, 32, 6, 6, -20, -39, 32, -24, 22, -20, -40, -26, 11, 17, 7, -4, 9, 23, 18, -5, 0, 5, 0, 18, -18, 1, -12, -29, 0, 14, -17, -13, 23, 34, 6, 9, 26, -28, 13, -36, -14, 8, 12, -5, -12, 14, -34, -6, 2, -13, 21, 25, 26, -14, -4, -35, 47, -4, -24, 21, -5, -37, -20, 8, 7, 31, 22, 10, 17, -21, -6, 7, 21, 4, -20, 29, -12, -13, 17, -22, 24, -36, -10, 31, -48, 5, 7, -7, 10, -16, 16, 14, -20, -2, -22, 22, -15, 19, -18, 2, -51, -9, -22, 7, 18, -17, 5, 10, 12, 5, -27, -6, 0, 34, -7, 0, 50, 27, 5, 6, 35, 11, -14, 7, -12, 6, 2, -22, 53, 4, -2, 6, -80, 29, 0, -17, 13, 51, 1, 12, -20, 5, -27, -11, 14, -1, 41, 4, -15, -5, 16, -10, 8, -7, -27, -26, 8, -16, 17, -25, -9, 17, -32, 9, 24, -8, 8, 12, -9, 4, -20, -1, -5, 29, -23, 0, -1, 7, -9, 15, -6, -1, -18, -6, -35, -15, 2, 9, -8, -8, -40, -3, -1, 11, -10, -11, 18, -26, -37, -31, 3, -20, -6, -7, 11, 11, 2, -19, 3, 20, 27, -8, 29, 8, -2, 27, 11, 8, -22, -9, 9, 12, 0, 14, 28, 14, -37, 37, -9, -7, 15, -31, -20, 22, 15, 2, -42, 11, -39, -15, -8, -12, -1, 14, -27, -14, 24, -19, 64, -24, 19, 9, 1, -23, -19, -42, -5, -2, 25, 66, -22, 7, 40, -31, -30, 48, -6, 9, -7, -40, -7, 43, 7, -23, 7, -10, 12, 20, -25, -5, -22, -38, -15, -17, -66, 15, -33, 8, -55, -71, 1, -25, -52, -8, -94, 9, 17, -55, -35, -22, 5, 19, -4, -44, 9, 22, -6, -10, 3, -5, 22, 37, 12, 23, 23, 35, -24, 14, -50, 59, 29, -5, -39, 10, -9, -78, 30, 7, -2, 5, 16, 1, -16, 45, -104, 51, 8, -80, 75, -8, -24, -26, -124, 11, 29, -35, -13, -21, -49, -14, -13, 94, -2, 30, -17, -47, -13, 6, 3, 4, 10, 31, 1, 36, -54, -13, -37, 10, -1, -31, 24, -9, 37, -19, 3, 20, -124, 5, -31, 14, 63, 13, -108, 57, -2, 2, 38, 122, 4, -21, -32, 11, 47, -11, 7, -57, -8, -7, -38, 14, 2, 20, 28, -66, -97, 2, 25, 0, 13, 78, 25, -10, -4, 8, 60, 127, -101, -12, 18, 35, 18, 0, -21, -5, 37, -37, -24, -12, -15, -54, -61, -75, -36, 30, -32, 84, -29, 15, -26, 0, 1, 23, -41, -14, 32, 10, -9, -1, 1, 14, -1, 35, 4, -2, -74, -2, 38, 5, 52, 11, -15, 13, 3, 29, 18, -33, 69, 15, 51, -11, -37, -17, 9, -24, 36, -37, 6, 72, -23, 92, -30, -21, 26, -4, -5, -1, -62, 25, -49, -38, -3, -12, 7, 22, 2, -44, -2, -42, 15, -98, 42, -37, -33, -6, -37, -47, 93, 35, -34, 2, -39, 16, 38, -26, -63, -16, -59, -56, 14, -22, 24, 3, 1, 59, 13, 46, -9, 36, 28, 9, 113, -2, 59, -16, -72, 6, 35, -7, -32, 7, 0, -19, -19, -14, 4, -60, -48, 14, -13, -21, -22, -52, -24, 1, -15, 26, 31, 49, 28, 7, -38, -27, 34, -52, -20, 19, 12, 3, -10, 3, -62, 36, 3, -29, 8, -43, 26, 35, -71, 27, -4, -46, -58, -23, 21, 35, -42, 0, 8, 11, -9, 14, -14, 11, 21, 17, -46, 0, -24, 18, -36, 28, 22, -17, 11, 45, -2, 12, -48, 29, 27, 23, 16, 11, 13, -22, -54, 16, 6, -5, -1, 35, 1, -78, -18, -5, -44, -44, -37, 14, -40, -11, -46, 33, -39, 28, -11, 19, 1, -47, -12, -5, 17, -11, -9, 1, -87, -5, -15, -1, 49, 26, 35, -12, 41, 24, -18, -33, -39, 20, -19, -45, -25, -15, -14, -20, 14, -28, 16, 6, 5, 13, -16, 42, 30, 30, 0, -18, -33, 44, -21, -17, -12, 24, -47, -5, 10, -57, -7, -59, -17, -54, -5, -19, -4, -57, -28, 3, 70, -29, 9, 2, 24, 17, 46, -42, -44, -79, -93, -17, 25, -49, -3, -55, -64, -4, 10, -3, 35, -19, 1, 10, 30, 12, 21, -10, -14, 14, -18, 22, 8, -19, 6, 8, -47, 24, -5, -45, -43, 3, -4, -21, -24, -39, 16, 11, -33, -23, 29, 3, 35, -41, -4, 9, 28, -49, -2, 8, 35, 26, 16, -4, -9, 12, 45, 7, 70, -18, -8, 53, -69, -46, -1, -46, -32, 1, -21, -3, 5, -5, 53, 13, -3, 30, 3, 15, 6, 56, 31, 19, -21, -7, -19, -34, -19, 3, -9, 33, -22, -41, 14, 23, -7, 2, 10, -2, 33, 42, -19, 44, 30, 11, -14, -5, -5, 34, -38, 28, -30, -9, -17, -9, -19, -7, -28, 2, -50, 15, -25, -1, -28, -60, 9, 34, -2, -22, -52, 7, -71, -7, 11, 9, 41, -10, 8, -7, 29, 33, -58, -55, -23, 4, -46, 34, 20, -44, -9, 1, -21, 1, 28, 21, 68, -25, 9, 3, 29, 23, -39, -23, -38, 68, 13, -32, -18, 27, -65, -28, -30, -19, 0, -38, -25, -35, -57, -38, 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+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 15, 20, 48 },
+ .input_offset = 128,
+ .output_shape = { 1, 15, 20, 48 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 48, 4, 4, 48 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_009_conv_2d(const int8_t in[(15+1/*pad for overwriting*/) * 20 * 48], int8_t out[(15+1/*pad for overwriting*/) * 20 * 48]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_010_max_pool_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_010_max_pool_2d.cc
new file mode 100644
index 0000000..eeaa7f2
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_010_max_pool_2d.cc
@@ -0,0 +1,19 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+
+static const MaxPool2DOptions options = {
+ .input_shape = { 1, 15, 20, 48 },
+ .output_shape = { 1, 7, 10, 48 },
+ .padding_w = 0,
+ .padding_h = 0,
+ .filter_w = 2,
+ .filter_h = 2,
+ .stride_w = 2,
+ .stride_h = 2,
+ .quantized_activation_min = -128,
+ .quantized_activation_max = 127,
+};
+
+void layer_010_max_pool_2d(const int8_t in[(15+1/*pad for overwriting*/) * 20 * 48], int8_t out[(7+1/*pad for overwriting*/) * 10 * 48]) {
+ opt::MaxPool2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_011_conv_2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_011_conv_2d.cc
new file mode 100644
index 0000000..b03e872
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_011_conv_2d.cc
@@ -0,0 +1,31 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+
+static const int32_t output_multiplier[] __aligned__ = {1112897536, 1119948288, 1488596736, 1795103360, 1313345280, 1101465984, 1779871232, 1888845568, 1531387904, 1837245568, 1104483200, 1769203584, 1627094656, 1114184320, 1365608192, 1316485504, 1983054080, 1381359360, 1461129472, 1109617792, 1575921536, 1416439808, 1194184704, 1434159488, 2106347008, 1402132224, 1799110912, 1098860928, 1351453056, 1318166528, 1204859904, 1571024128, 1394086528, 2001063680, 1260432512, 1211591168, 1641519488, 2106094720, 1868893952, 1355930112, 1084351232, 1567324416, 1441393152, 1379725696, 2049038208, 1424811136, 1257645952, 1301948288};
+static const int32_t output_shift[] __aligned__ = {-9, -7, -9, -8, -9, -9, -9, -9, -9, -9, -9, -9, -9, -8, -9, -9, -9, -9, -8, -8, -9, -9, -8, -9, -9, -9, -9, -9, -9, -9, -8, -9, -9, -9, -9, -9, -7, -9, -9, -8, -8, -9, -9, -8, -9, -8, -9, -9};
+static const int32_t bias_data[] __aligned__ = {384, 71, 161, 9, 394, 199, -32, -207, -100, 64, 289, 131, 421, 77, 69, -151, 51, 507, -42, 34, 432, 271, -182, 350, -13, 433, 64, 309, 87, 216, -209, 210, 189, -151, 508, -28, -83, -11, -653, 59, -51, 37, 113, -226, 68, 95, 60, 139};
+static const int8_t filter_data[] __aligned__ = {-24, -3, 67, -51, -2, 96, 26, -38, -67, 11, 42, -39, 46, 7, 94, -6, -4, 37, 32, -14, -7, 25, -79, 5, -81, -14, -19, 10, 3, 9, -80, 60, -8, -1, -23, -36, 70, 45, -52, 3, -63, -73, 85, 17, -86, 9, 17, -14, -38, -11, 25, -24, -5, 2, -25, -15, -60, -50, 21, -71, 19, 66, 6, 14, -44, -30, 23, 118, 3, 25, -4, -20, -20, -79, -46, -74, 17, 1, 30, -18, 24, 61, 7, -124, 16, -11, 63, -65, -17, -3, -50, -9, 9, -34, -37, -26, -2, 21, 96, -45, 13, -11, -39, 15, 25, -60, -71, -69, 64, 12, -8, -16, -44, -41, 12, 9, -87, 45, -39, -9, -32, -25, 39, -31, 32, -45, 83, -44, -12, 110, 56, -41, -31, 61, 88, -89, -22, 15, 39, 92, 22, -36, -33, 35, -14, 49, 18, -34, -35, 24, 40, 35, 9, -110, 33, -10, 1, 59, -10, -65, 4, -59, -90, -26, -52, 41, -24, -47, 36, -60, 24, -45, -30, -51, -21, -37, -78, -17, 40, 53, 21, 9, 19, -38, -1, -80, -13, 38, -10, 48, -56, 127, -38, -5, -35, 66, -23, -7, 3, -15, -4, 50, 24, -26, -53, -65, 44, 7, -55, -8, -23, 33, 41, 24, -34, -27, -101, -28, -35, -61, -12, 81, 20, 14, -30, -28, 12, 6, -5, 23, 41, -5, 103, 31, 67, -38, -39, -60, 25, 19, -14, 50, 83, -11, -14, -79, -3, 20, 78, 24, 16, 1, -30, -29, 21, 3, -6, 35, 27, 13, 22, 3, 8, -21, -46, -6, -12, -34, 37, -14, -14, -11, -20, -51, 56, -34, -22, 30, 5, 34, 40, 58, -34, 7, 28, -38, -60, -28, 3, 55, -13, -31, -29, -70, -12, 44, 46, -45, -21, -4, 28, -65, 14, -60, -9, 31, -24, 43, 3, -9, 46, -31, 9, 4, 41, -6, 20, -54, -10, -7, -3, -47, 65, -17, -13, 5, 15, -12, 2, 53, -1, 82, 51, -7, -79, -2, 46, 43, -2, 5, -46, -83, 1, 24, 50, -3, -8, 30, 10, -81, -25, -47, 13, 97, -33, 21, 46, 33, 7, -61, 19, -26, 38, 21, -11, -3, -50, -37, -73, -45, 86, 26, -62, 22, 42, 3, -84, -3, 12, 41, 43, 19, 1, 82, -47, -22, -35, -7, -7, 6, -38, -52, 13, 32, -52, 7, -43, -22, 39, 17, -68, 22, -62, 1, 11, -48, -5, -2, 10, -39, -3, -19, -23, 3, 41, 14, -76, -88, -66, -18, 20, 41, -14, 20, -42, 17, 79, -41, -16, -11, 8, -11, 28, -15, -33, -24, 29, 36, -4, 0, -5, 3, 77, -11, 32, 2, 3, -7, 39, 20, 40, 7, -13, -19, -31, 48, 22, -79, -33, -55, 56, -26, -71, 12, -39, -13, 55, -19, 17, 24, -16, 26, -54, 55, 22, -2, -3, -23, -4, 2, 22, -52, -53, -22, 9, 26, -9, -22, 19, -37, 4, -5, 48, -2, 17, -27, 9, -86, -24, 41, -5, 23, -10, 2, 12, 89, -6, 1, 14, -41, -8, 13, 0, -30, 70, 19, 56, -16, 34, 57, -22, -9, -14, -50, -11, -30, -88, 10, 52, -3, -41, 1, 61, -14, -78, -13, 5, 57, 5, 19, 53, -19, 10, -24, -9, 5, 13, 28, -49, 2, 2, -38, -21, 33, -31, 7, 5, -65, -49, 1, -32, -47, 35, 16, 3, -7, -39, 24, -98, 7, -17, -4, 33, -72, -44, 51, -25, -44, -32, 7, -64, -30, -23, -33, -1, 2, 17, 2, -47, 9, 6, -10, -28, -17, -54, -42, 17, 12, 19, 20, -54, -12, 0, 3, -25, -33, -24, 20, -59, -40, -43, 3, 0, 52, -19, 56, 76, 11, 23, -81, 3, 46, -57, 26, 0, -37, 4, -30, 17, 36, 5, 1, 10, -16, -3, 31, 18, 89, 4, -25, 11, -44, 52, 31, -16, 45, 12, 10, 15, -49, -33, 29, 24, -22, -2, 11, -4, 14, 25, -2, -10, 34, 1, -43, 27, 67, 18, 27, -8, -47, -42, 23, -46, -76, 61, -34, 2, 91, -13, -29, 6, -22, 6, -1, 19, -70, 15, 46, 28, -64, 2, 40, 22, 84, -35, -35, 20, 56, -17, 23, 12, 23, -34, 37, 62, 62, 8, -14, 12, -34, 6, -36, 18, -10, -2, 66, 19, 17, -6, -31, -7, -45, 16, -42, 8, 50, -38, -12, 0, -25, -26, 12, 18, 45, 59, 4, 5, -24, -10, 27, -14, 36, -6, -10, -17, 39, -35, 12, 47, -40, -47, -18, 11, -7, 6, -3, 50, 2, -68, 2, -74, -29, -1, -6, 14, 7, 27, 40, -10, -11, 12, 8, -7, 5, 4, 7, 15, 12, -12, -15, -9, -19, -36, -24, -12, -42, -7, -22, 7, -22, -8, 10, 1, -2, 5, -8, -16, -2, -20, -14, -15, 6, -1, 3, 4, -14, 8, 14, 6, -10, -2, -7, -3, -5, 13, -20, -4, 3, 2, 8, -11, 3, -4, 11, 5, -20, -7, -4, 6, 12, -9, -20, 8, -25, 3, -7, 11, 8, 4, 10, -2, -5, -10, 5, -40, -6, 6, -11, 10, 18, 5, 2, 12, -10, -3, 8, 8, -6, -5, 4, 3, 5, 8, -29, 11, 4, 3, 4, -3, 5, 1, 9, 3, 2, -20, -13, -10, -16, -18, -5, -1, -7, -4, -15, 18, 7, -3, -14, -8, -9, -22, 0, -13, 5, -17, -6, -5, 25, -9, -6, -22, -11, -6, 1, 11, -17, -24, 3, 5, -5, 7, -16, 14, 4, -9, -3, 4, 10, 2, 2, 3, 0, -16, -11, -5, 2, 6, 14, 4, -6, 12, -7, -6, 3, 22, 8, 6, -11, 9, 12, 1, 5, -12, -7, -9, -3, 6, -4, 6, -7, -23, 1, -5, -6, 27, 6, 12, 10, 3, -20, -5, -8, -26, 7, -14, -2, 11, 6, 11, 1, -20, -33, -9, -4, -16, -20, 3, -18, -2, -15, 8, -9, -10, -21, -2, -2, -17, 3, -22, 1, -38, 11, -1, 14, 17, -7, -2, 7, -20, -8, -19, -16, -38, -5, 4, 0, -6, -26, 3, 1, -8, 5, 18, 6, 6, 6, 0, -11, 4, -9, -11, 24, 0, -6, -1, -12, 15, -17, 9, 0, 4, 9, 1, 3, -11, 1, -3, -10, -34, -2, -3, -5, 17, -5, 18, -5, 8, -11, 4, -17, -49, -2, 2, 7, 0, -3, 2, -10, -13, 8, 8, -17, 8, 2, 9, -3, 3, -2, -22, 2, -6, 2, 5, -18, 5, -35, 5, 5, 6, 4, 11, 24, -3, -15, 10, -8, -48, 0, 6, 5, 14, -19, -9, -8, -4, -3, 8, -41, -12, 3, 3, 11, 1, -19, -2, -18, -21, -10, 0, -16, -11, 11, 14, -16, -9, 9, -17, 1, -20, 4, 3, -13, -4, 1, 8, 9, -20, -10, 8, 9, -2, -7, -6, -20, -39, -17, 4, 5, 7, -19, 11, -9, -13, 3, -7, -28, -10, -4, 6, -3, -4, -17, 1, -4, -10, -2, -15, 4, 6, 5, -16, -11, -8, -15, -3, -5, -8, 10, -10, -15, -3, -19, 8, 5, 20, -1, -8, 18, -18, -1, -6, 11, -127, -11, -8, -1, -20, 5, -13, -3, -63, -1, 1, -15, 0, -9, -4, -9, 9, 6, -2, 0, -19, 7, -1, -4, 7, -2, -20, 7, 3, -5, 21, 1, -4, -6, 10, -14, 3, 6, -1, -1, 38, -2, 12, -5, -4, 1, -11, 6, 29, -1, -5, -5, -1, -8, -1, -10, 26, 5, 2, -5, 36, 1, 4, 10, 2, 4, -9, -9, -14, 12, 5, -2, 11, -4, -9, -11, 17, 15, 20, -19, -12, 9, -6, -11, 0, 32, -3, 6, 28, 3, -8, 18, -6, -9, -4, 7, 32, 10, -11, -12, -4, -7, -4, 6, 19, -1, 3, -17, -26, 6, 5, 0, 2, 5, -5, -6, -11, 6, 6, -1, 15, 14, 7, -11, -25, -6, 16, -9, -2, 8, -7, -21, 0, -35, 1, -8, 21, -3, 9, 11, -4, -8, 7, 0, -88, -17, -11, 5, -9, -10, 4, -1, -23, 3, -2, -34, -39, 4, -3, -2, -1, -4, -3, -4, -22, 2, 7, -9, -6, 1, 13, 7, -7, 0, 6, 34, 5, 0, -13, 0, -12, -49, -10, 26, -17, 20, -6, -30, -1, -5, 0, 27, -68, -16, -3, 10, -1, 11, -11, 8, -22, 2, -7, -3, 7, 8, -3, 8, 0, 10, -10, 1, -4, 14, 9, 3, -2, -3, 12, 2, -3, 12, 34, 8, 6, 0, -1, -16, 14, -2, 18, -1, -12, -17, -2, -24, 4, -2, -16, 7, 25, -12, -2, 0, 8, 4, 9, 13, -19, 5, 5, -8, 17, 2, -13, 13, 2, 20, 8, -1, -6, -13, -17, 1, -14, -8, 7, -4, 11, 9, -8, 7, -2, -3, 7, 2, 5, 27, 5, 0, 19, 5, -21, -12, 9, -7, 1, 1, 20, -18, -1, -13, -6, 3, -11, -4, -19, 0, 3, -5, -32, 3, 17, 5, -11, 25, -26, 16, 6, -7, 4, 11, -2, 5, 12, -3, -5, -10, -20, 20, 10, 22, -10, 5, 11, -34, 10, 3, -4, 15, -8, -13, -1, 18, 5, 19, -58, -4, 11, 6, 1, 30, 25, 7, -9, 22, 1, -16, -3, 1, -16, 3, 9, -30, 0, -72, 7, 11, 43, -27, -37, 4, 8, -12, -7, 42, -8, -47, 10, -7, -32, 33, -43, -9, -103, 26, 23, -29, 60, -65, -4, 14, -30, -10, -50, -25, -14, 1, 12, 45, -6, 5, 51, 31, -57, 14, 53, 0, -4, -13, 61, 5, -42, -20, -10, 27, 33, 44, -31, 26, -16, 26, -40, -12, 14, 7, 17, -18, -20, 5, -10, 65, -48, 7, 13, -11, -12, 17, -11, 13, -15, 11, 64, 22, -18, 25, 13, -2, -36, -40, 50, 8, -15, -6, -4, 14, -8, -15, 34, -27, -22, 16, 16, 31, 37, 45, -15, 27, -9, 0, -40, 39, 7, -24, -8, -6, -11, -8, -33, 31, -38, 21, 2, -13, -19, 28, -29, 21, -29, 18, 7, -8, -24, -1, 5, -3, 10, -29, 11, 15, -17, 4, 15, 8, -40, -17, 13, -7, -31, -27, 16, 9, 81, 0, -18, 44, -8, -32, -26, 16, 11, -3, 9, -18, -34, 8, 36, 12, -115, 9, 4, 25, -46, -27, -19, -1, -18, 2, -29, -43, -2, 26, -34, -4, -20, -15, -7, 47, 34, -6, 10, 4, -14, -12, 12, -21, -33, 7, -33, -19, 34, -26, -23, -2, 17, -29, 43, 9, 16, -20, -11, 42, 42, -21, -6, -19, -127, -8, 38, 32, 25, -45, -2, -9, -29, 41, -61, -47, -11, -42, 3, -32, 43, -9, 4, -42, -41, -31, 29, 4, 17, 38, -30, 14, -4, -10, -40, -27, 45, -44, -18, 16, 30, 56, 24, -23, -12, 33, -14, 13, 9, -6, 51, 37, -79, 16, -11, 59, 11, -24, 10, -34, -10, -43, -26, -22, 23, -86, -27, -26, -35, -47, 7, -93, -6, -15, -22, 5, 7, 26, 25, 16, -14, 14, -19, 21, 8, -13, -40, 10, 34, 14, 45, 4, 5, -3, -18, 5, 19, -15, 17, -5, -50, -14, -8, 69, 33, -57, -3, -31, 7, -78, -71, -22, 16, -114, -62, -2, -22, -28, 7, -72, 29, -10, 14, 3, -11, 35, -12, -13, -13, -5, -3, 37, 7, -22, 10, 6, 45, -25, 60, 44, 48, -26, -6, -9, 31, -58, 24, 3, -56, -1, 12, -16, -14, -11, 46, -36, 3, -6, -9, -9, -2, -99, -34, 56, -59, -10, -37, -27, 70, -43, -50, 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-62, 10, -58, -11, 14, 25, -37, 13, -74, 26, -1, 44, -50, 23, -20, -12, -47, 2, 22, -42, -25, 2, 31, 62, 23, 9, -65, 26, 1, 63, 0, -38, -16, 7, -6, 12, 4, 1, 16, -33, 27, -12, -43, -55, 11, 34, -26, 0, -51, -4, -83, -58, 27, -7, -14, -34, 48, 32, 50, -7, -10, 31, -40, -14, -59, -7, 11, -30, -26, 29, 11, 15, 55, 20, -67, -43, -10, 9, 10, -5, 23, -13, 0, 9, 15, 28, 5, 8, 58, -10, -25, -41, 16, 0, -51, -23, 27, -31, -34, -39, 31, -34, 20, -10, 16, 26, 35, -76, -79, 23, 2, 10, -4, -11, -17, -43, -31, 1, 42, -34, 55, -31, -1, 18, 1, 5, 17, 79, -66, 44, -12, -34, -16, -66, -11, -68, -32, -2, 35, 2, -8, -2, -3, -31, 36, -70, -4, 0, -25, -19, 63, -15, -47, -84, 16, -19, -59, -48, -68, -5, -35, 8, -24, -2, -1, -3, -24, -127, 18, -30, 7, 4, 62, -39, -61, 83, -13, -32, 5, -33, -1, 25, -29, 7, -14, -18, -6, 55, -41, 23, 0, -47, 40, -7, -6, -16, 17, 9, -6, 34, -106, 31, -31, -3, -72, 11, -90, -26, -90, 11, 7, -20, -42, 3, 8, -49, 19, 2, 21, 30, 8, -3, 14, 28, -7, 54, 4, -1, -30, 15, -17, -41, -10, 50, -13, -13, 29, 11, -29, -25, 18, -50, 9, -50, 49, -12, -10, -20, 1, -10, 46, -53, -72, -1, -47, 3, -39, 11, -24, -23, -27, 47, 54, -80, 6, -21, -67, -22, -54, -12, -32, 95, -3, 74, -25, -59, -39, 11, -17, 13, 5, 3, 10, -34, -19};
+
+static const Conv2DPerChannelOptions options = {
+ .input_shape = { 1, 7, 10, 48 },
+ .input_offset = 128,
+ .output_shape = { 1, 7, 10, 48 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = output_multiplier,
+ .output_shift = output_shift,
+ .filter_shape = { 48, 4, 4, 48 },
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+ .padding_w = 1,
+ .padding_h = 1,
+ .stride_w = 1,
+ .stride_h = 1,
+ .dilation_w_factor = 1,
+ .dilation_h_factor = 1,
+};
+
+void layer_011_conv_2d(const int8_t in[(7+1/*pad for overwriting*/) * 10 * 48], int8_t out[(7+1/*pad for overwriting*/) * 10 * 48]) {
+ opt::Conv2D(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_012_reshape.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_012_reshape.cc
new file mode 100644
index 0000000..f8231d8
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_012_reshape.cc
@@ -0,0 +1,13 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_reshape.h"
+
+static const ReshapeOptions options = {
+ .input_shape = {1, 7, 10, 48},
+ .output_shape = {1, 3360},
+ .input_dims = 4,
+ .output_dims = 2,
+};
+
+void layer_012_reshape(const int8_t in[(7+1/*pad for overwriting*/) * 10 * 48], int8_t out[3360]) {
+ opt::Reshape(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_013_fullyconnected.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_013_fullyconnected.cc
new file mode 100644
index 0000000..58f24d4
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_013_fullyconnected.cc
@@ -0,0 +1,24 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h"
+
+static const int32_t bias_data[] = {4, 19, 0, 12, -11, -17, 0, -1, 1, 0, -8, 1, 2, 0, 3, 12, 19, 8, -1, 16, -1, 13, 0, -1, 13, 0, 0, 0, 17, 0, 0, 3};
+static const int8_t filter_data[] = {4, -2, 2, 0, 1, 6, -60, 20, -9, 12, -10, 3, 1, -91, -11, -19, 14, -3, -13, 13, 1, 5, -7, -5, 14, -12, 4, 8, -15, -11, 1, 10, 5, -12, 21, -45, -44, -8, -23, 9, -100, 17, -12, 3, -2, -6, 19, 20, 11, -12, -10, -3, 13, 2, -60, 6, -16, -7, 6, -3, 4, -127, 5, -6, 16, 13, -6, 5, 2, 9, -7, 13, 11, -4, 0, 10, 1, -16, -2, 0, 2, 5, 7, -47, -45, -5, -7, 18, -24, 27, 4, 8, 13, 17, -3, 7, 4, -3, -2, 11, 9, 6, -13, -13, 5, 0, -2, 1, 5, -17, 10, 1, 11, -12, 0, -9, -2, -9, -20, 31, 26, 2, -7, 6, 13, -4, -3, 11, -5, 3, 18, -25, 7, -1, -25, -4, 2, 24, -7, -5, 10, 7, -14, 5, 0, 13, -11, 27, 13, 1, 1, -3, -7, -2, -10, 1, -2, 23, 24, 0, -21, -29, 11, -8, 8, 5, 4, 16, 26, -2, -5, 0, -2, 1, 7, -3, -9, -6, 2, -7, 30, 0, -36, -8, 28, 16, 6, -10, 23, 4, -4, -15, -3, 15, -8, 31, 6, 0, 14, 2, -5, -2, 4, 8, 8, 39, 16, 1, -19, -26, 26, -44, 17, 5, 9, -3, 8, 2, 2, -7, -18, 3, 21, -1, 8, -4, -5, 9, 29, -3, -32, 2, 34, 12, 1, -6, 18, -2, 5, -21, -7, 15, 2, 12, 4, 0, 12, -9, -6, -1, -3, 3, 5, 23, 2, -8, -2, -18, 25, -37, 9, 3, 5, -9, -4, -7, 5, -10, -14, -1, 18, 1, -3, -5, -6, 2, 22, -10, -19, 1, 12, 20, 4, 0, 15, -2, 8, -11, -5, -12, 6, -9, 4, -6, 2, -10, -14, 5, -1, -2, 11, 3, 4, -12, 3, 1, 16, -9, 8, 6, 2, -9, -24, 11, 1, -1, -8, 5, -6, 5, 6, -5, -8, -5, 4, -14, -5, 1, 2, 6, 19, -5, 7, 1, 12, -1, -5, -10, -5, -13, -4, 1, 19, -13, -10, -6, -7, -8, 4, -58, 0, -6, 13, -1, 1, -1, 13, 8, -5, 0, -101, 1, 4, 12, -5, 5, -5, 8, 1, 4, 1, -1, -7, -11, -2, 5, -54, 6, 2, 10, 10, 0, 7, 6, 3, -7, 7, -5, 3, 3, 12, 8, -12, 2, 0, -8, -3, -79, -1, -1, -5, 2, -6, 8, 9, 7, -7, -4, -57, 3, -9, 10, -6, -2, -18, 26, -5, 9, -3, -15, -14, -19, -28, 9, -57, 0, -4, 5, 6, 6, 0, -4, 5, -16, 5, 18, 7, -3, 29, 1, -13, 12, 13, -3, 12, -25, 8, 8, -2, 3, -13, -7, 7, -5, 6, 3, -5, -9, 3, 2, 4, 12, -9, 29, 14, -9, -13, -9, 0, -7, -32, 3, -16, -1, 1, 18, 9, 6, -7, 6, 2, 6, -1, -10, -2, -3, -61, -40, -18, 3, 4, 7, -7, -43, -10, -27, -13, 1, -7, 6, 11, 15, -3, -4, -10, 2, -2, 9, 11, -21, -6, -2, -2, 1, 7, -24, -29, -28, 2, 15, -54, 15, -4, 3, 2, -13, -14, 18, 4, -19, -8, -5, 6, 5, -17, -23, -16, 3, 2, -6, -2, -36, -4, 0, 10, 3, -3, 2, -11, 4, -29, 16, -17, -5, 9, 13, 1, -9, -5, 7, -3, 7, 1, -2, -33, -19, 9, -4, -10, 9, -1, -5, 9, 13, -6, 14, 0, 11, -9, 4, 3, -4, -15, 13, -17, -12, -2, -3, -5, -12, 11, -15, -6, -3, 4, -1, 6, -3, -9, 7, 5, -5, -1, -6, 10, -18, -6, 6, -12, 4, -5, 0, 19, 0, -10, -2, 1, 3, -7, 7, 1, 7, -6, 0, -9, 15, -8, 18, 13, 1, 2, 22, -9, -19, -6, -1, 5, 6, 16, 0, 3, -15, 9, -10, -5, -3, -7, 7, 17, 0, 7, -9, -5, -3, -1, -4, -13, 5, 11, 8, 35, 1, -24, 1, 23, 1, 6, -10, 1, -5, 6, -14, -12, 14, 5, 35, 8, -12, 19, 14, -7, -9, 4, 1, 3, 21, 12, 0, 12, -15, 14, -12, -13, 11, 12, -3, 14, -5, 0, -7, -10, -1, 14, 1, -19, -3, 7, 3, 30, 2, -27, 0, 25, 1, -4, -17, 5, -5, 15, -27, -9, 3, 7, 30, -5, -8, 8, -41, -10, 1, -4, 4, -7, 16, 6, -10, 7, -17, 21, 0, 0, -2, 17, -2, -7, 1, 5, -5, -3, 3, 16, 5, -5, -7, -2, -7, 17, -5, -11, -4, 14, 5, 0, -17, -4, -7, 11, -15, 1, -6, -2, -8, 2, -3, -2, -28, -14, -6, -13, -5, -6, 3, -2, -10, 4, -8, 22, -9, 2, 7, 0, -2, -13, 15, 4, -9, -9, 0, -5, 1, -2, -4, 11, -9, 1, -12, 1, -1, -12, 6, -1, -6, -4, 7, 7, -3, -2, -8, 4, -1, -2, 2, -14, -37, -27, -7, -5, 7, -3, -15, 1, -7, -4, -2, 10, -3, 10, -6, -4, 2, -36, 3, -4, 5, -14, 4, -11, 5, -7, -3, 6, -2, -13, -15, 11, 10, -25, 0, 12, 1, 15, 0, 9, 1, 3, -8, -1, -5, -6, -5, 1, -18, -18, 2, 8, -5, 0, -34, -3, -2, -20, 7, 8, -16, 13, -3, -13, 8, -42, -2, 1, 8, 4, -1, -12, 1, -2, 0, 1, -2, -15, -11, 5, 10, -61, 7, 6, 14, 14, 7, 0, -2, 0, -7, 0, 16, 1, -7, -4, 21, -26, 5, 2, -15, 7, -32, 6, 3, -5, -1, -13, -15, 4, -5, -11, 4, -4, -13, -4, 2, 18, 3, 5, 10, -1, 0, -9, -3, -11, -10, 0, 2, -32, -1, 5, 3, 6, 3, 6, -3, 7, 9, 5, -7, -8, 3, -30, -28, -36, -7, -6, 3, -2, -45, -8, -13, -27, -6, -3, 11, 6, 9, -5, 1, -46, 0, -2, 15, 10, -14, -2, -1, 4, 8, 1, -13, -43, -33, -4, 14, -60, 15, 5, -4, -1, -2, 9, 5, 7, -3, -1, -17, -3, -6, -13, -21, -12, 7, 11, -18, -5, -24, -5, 5, -17, 0, 1, 0, -1, 3, -35, 12, -52, -8, 7, 0, 0, -9, -6, -1, -6, 1, 1, 0, -13, -17, 3, 2, -17, 19, 12, -2, 3, 14, -4, 1, -5, -10, 0, -3, 3, -6, -14, -2, -14, -11, -5, -6, 2, -18, 11, -4, -18, -9, 3, 4, 14, 1, -3, -1, -12, -10, 15, -13, 3, -17, -10, 1, -8, 7, -7, 9, 13, 1, -10, -11, -1, -2, -1, 4, 2, 10, -5, -1, -8, -17, -19, 22, -11, 2, 7, 16, -6, -14, -8, 9, -4, 3, 15, -4, -5, -1, 12, 13, 2, -4, -17, -1, 14, -2, -5, -10, -5, -11, -5, 12, -17, -5, 2, 11, 36, 9, -15, -6, 20, -14, -2, -6, 6, -15, 3, -10, -10, 10, 1, 39, -3, -6, 19, 16, 0, -7, -3, 5, 3, 18, 23, -6, 9, -12, 18, -3, -3, -13, 28, 8, 20, 5, -2, -8, -4, 2, 7, -9, -22, -19, -2, 8, 30, 2, -16, -10, 21, -5, -6, -19, -5, -18, 8, -9, -2, -12, 5, 25, 3, -6, -4, -4, -5, -2, -5, 12, 3, 12, 2, 10, 2, -6, 13, 5, 7, -13, 24, -3, 3, 5, 0, -10, 1, -2, 8, -14, -2, -7, -3, 6, 12, -13, -5, 3, 9, -11, 3, -5, -4, -6, 11, -14, 8, -9, -1, -9, 1, 3, -21, -43, -13, -4, -5, -3, 6, -13, -14, -9, 0, -6, 20, -2, 3, 3, -2, -3, -11, 0, 3, -8, -6, -1, -12, 1, -13, -4, 1, -5, -2, -9, 2, -5, -11, -5, -7, -3, -8, 1, 8, -12, 1, -9, -3, -4, 1, -1, -26, -40, -17, -5, -8, 0, -2, -29, -1, -2, 0, -1, 10, -7, 1, 4, -12, -1, -16, 4, -3, 1, -11, 1, -6, 1, 5, -4, 7, 0, -6, -15, -1, 6, -37, -3, 5, -7, 9, 9, 8, 6, 10, -3, 2, -8, -1, -5, -33, -40, -9, 8, 1, -5, -6, -47, -2, 3, -10, 2, -10, 20, 9, 3, -6, -2, -36, 5, 7, -12, 3, -6, -21, 3, 2, 3, 10, -5, -11, -21, -31, 2, -66, 16, 9, 2, 35, 8, 2, 18, 10, 1, 2, 12, 3, -6, -2, 7, -23, -3, -4, -16, 6, -33, -9, 5, -10, -3, -14, -16, 10, 1, -7, 1, 3, -5, 5, 0, 12, 1, -8, 5, -3, 6, -3, -10, -13, -5, 3, -2, -10, 4, 11, 1, 8, 6, -1, 2, 3, 10, 17, -4, -13, -2, -15, -32, -23, 3, -5, 0, -2, -28, -2, -11, -28, -2, -10, 2, 1, 7, -2, -4, -37, -14, 4, 6, 1, -12, -1, -3, -7, -1, 6, -3, -40, -28, -6, 13, -42, 14, 21, -5, -10, -14, 5, 9, 1, 5, 1, -18, 0, -5, 3, -18, -14, 1, -3, -16, 0, -24, 2, 14, -16, 4, -16, 9, -1, 3, -28, 6, -40, -6, 6, -1, 1, -10, -1, 6, -5, -3, 2, 0, -2, -14, -3, 18, -33, 8, -5, -7, 3, 14, -1, 1, -2, -8, -6, 5, 3, -5, -7, 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-19, -23, -1, 2, 6, -23, -17, -8, 19, -31, -24, -44, -12, 5, -1, -19, -20, 1, -1, -5, -28, -29, 2, -17, -11, -39, -30, -13, -15, 16, -23, 19, -45, -50, -25, -4, -17, 36, -7, 9, -4, -45, -11, -3, 6, 13, -18, -6, -11, -24, -13, 19, 10, -33, -24, 5, -35, -26, 20, -4, -41, -12, -51, 8, -21, 3, 5, 13, -25, 4, 23, -47, 6, -29, -19, -5, 4, 8, 10, -12, 5, -23, -25, -10, -22, 13, -12, 3, -19, 1, -15, 10, -9, -16, 16, -10, -17, -7, -8, -24, -54, -1, -30, -21, -25, 5, 20, -54, -35, -1, 2, 5, -23, 34, 1, 9, -4, -20, 27, -36, -16, -38, -16, -35, -2, 13, 2, -2, -12, 22, -45, -49, 11, 46, 5, 10, 2, -14, 0, 9, -17, -25, -43, -55, -34, -35, -36, -26, -76, -37, -26, -28, 4, 13, 29, -5, -49, -31, 50, 10, -40, -22, -35, -35, -56, 0, 6, -45, -27, -47, -58, -31, -22, -11, -8, -14, -50, -40, -39, -17, -28, -10, -28, -28, -6, -2, -36, -17, 5, -22, -51, -11, 0, -11, -23, -15, -59, -11, -15, -39, -9, 0, 24, 23, -49, -7, 38, -9, -15, 15, 3, -19, -52, 3, -8, -45, -4, 0, 22, 9, -22, -86, 30, -43, 12, 7, 7, 17, -18, -12, -25, -3, -8, -32, -26, -22, -3, -23, -19, -5, -32, 10, -11, -26, -13, 11, -32, -19, -4, 8, -2, 8, 4, -60, 6, -12, -14, 22, 12, 22, -44, -7, -15, -12, 34, -52, -27, -30, -48, -24, 3, -11, 22, -27, 0, 25, -28, 23, -8, 16, -13, -43, -1, 8, -17, -50, -46, -2, 3, -34, -17, -2, 11, 3, -32, -3, 0, 27, 6, -15, -2, 19, -25, -7, -23, -7, 17, 34, -45, 6, -9, -5, -2, 0, -27, -25, -8, -2, -19, -9, -10, 20, -18, 1, -13, -1, -45, 0, 6, -2, 5, -2, 8, -34, 3, 13, -24, -32, -41, 25, -17, -5, -22, 14, -24, 5, -17, -38, 1, -14, -37, -18, -45, 19, 14, -16, -16, -40, 13, 7, -12, 7, -11, -21, 12, 3, 0, -20, -17, 12, 16, -33, -17, -17, 0, -6, 8, 5, -25, -11, -20, -14, 13, -16, -26, 10, -4, -10, 6, -3, -28, -7, -34, 29, -26, -19, 1, -1, -42, -32, 4, -2, -13, -15, 8, 5, 8, -15, -9, -4, -6, -40, 33, -43, 4, 7, 18, -8, 27, -3, -28, 4, -26, 21, 3, -1, -11, -42, -42, -44, 15, 29, -27, 0, -20, -12, -18, 15, -13, -45, 32, 11, 12, -36, -47, -54, -5, -18, 9, 14, -36, 10, -24, -31, 3, 3, -25, -21, -10, -32, 52, 0, 10, -2, -44, 11, 16, 1, -37, -21, -66, -14, 28, -17, -23, -48, -12, -28, -21, 10, -19, -17, -16, -40, 16, 10, -3, -60, 32, -36, -8, 1, -10, -41, -27, -49, 11, 23, -68, -1, -6, -18, -34, -17, -39, -38, 4, -12, 5, -9, -21, -16, -21, -2, -9, -9, -59, -9, -50, -26, 12, -32, -6, -31, -7, -10, -30, 8, -38, 6, 7, 16, 35, -21, -30, -32, -44, -40, 5, -29, -4, -28, -60, -33, -35, 16, -44, -6, -7, -59, 5, -6, -16, -21, 3, 8, -14, 1, 13, -14, 10, -2, -23, -44, -32, -41, -64, -15, -9, 6, -19, -22, 12, -29, -42, 46, 7, -3, -6, -4, 23, 8, -36, -22, -33, -66, 9, -38, 1, 10, -64, 15, -16, -20, -13, -52, -14, 13, -30, -13, 8, -20, 2, 4, 5, 14, 9, 17, 2, 5, -37, -44, -3, -30, -64, -49, 17, -10, -51, -22, 3, -57, 33, 24, -14, -6, -36, 8, 13, 18, -49, -40, 13, 0, 7, -21, -12, 32, -69, 18, -7, -25, -4, -68, -35, 29, -12, -8, -14, -44, -1, -33, -16, -13, 21, 21, -57, -2, 6, -29, 0, -12, -22, 7, 4, -16, -22, 12, 18, -7, 36, 2, 23, -44, -28, -24, 8, 38, -30, -25, 18, -42, -6, -5, -13, 10, -31, 16, -21, 13, 22, 0, -26, -8, -17, -60, -1, -9, -6, -17, -6, 6, 12, 11, -23, -4, 24, -10, -20, -20, -23, 6, 0, -15, -44, -23, -39, -30, -25, -51, -29, -58, -7, -7, -32, 28, -3, -10, 13, 36, 9, 20, -21, 11, -30, 36, -45, -10, 10, 13, -18, 8, 10, -48, -27, -2, -49, -37, 3, -8, -17, 25, 19, -76, 27, -2, 25, -4, -36, 0, 8, 2, -39, -5, -37, -20, 6, 1, -19, -37, 3, 9, -30, -8, 7, 0, -14, -8, -10, -28, 0, 23, -35, 6, -40, 5, 2, -8, -21, -40, 17, 8, -56, 12, -28, -24, 4, -18, -12, -14, 12, -28, -13, -17, 6, -45, -22, 3, 3, -13, -33, -5, -32, 19, 6, 27, -20, 3, -24, -4, -5, -16, -16, -7, 8, 3, -29, -13, -13, -28, -3, -5, -25, -16, 8, -4, 4, 7, 28, 14, -53, 9, -43, -38, 19, -18, 3, -20, -12, 3, 13, -26, -15, -17, 0, 0, 6, -8, -34, -1, -53, 20, 25, 12, -31, 26, -1, -25, 26, 23, -18, 12, -29, -2, -63, -49, -31, -2, -28, 1, 10, 7, -31, -23, 1, 8, -11, -6, -14, 11, -17, -12, 19, -13, -1, 20, -10, -39, 26, -12, 0, 7, -16, -24, -11, 1, -2, -25, -10, -12, -6, 44, 18, -6, -35, -13, 17, 1, -8, -1, 16, 5, -11, -43, -25, -7, -18, 3, -29, -18, -1, 26, -28, -31, -5, -15, -16, -4, -13, -55, 13, 35, 0, -8, -1, -29, 34, -8, -10, -17, -28, -9, 1, -4, -46, 8, 10, -22, -16, 26, -22, -29, -26, -1, 14, 17, -14, -20, -16, 26, -34, -19, -2, -21, -14, -13, -44, 3, -21, 9, 21, -31, -9, 1, -20, -44, -37, -19, 8, -25, 32, 25, 16, -44, 47, -7, -33, -25, -31, -1, 9, -35, 2, -46, 10, -37, -20, 7, -26, -20, -9, -22, 10, 27, -12, -56, -51, 14, 0, -5, -35, -5, -31, -23, -48, 56, -20, -5, -28, -32, -36, -5, -10, -55, -50, 2, 18, -39, -13, -9, 15, -1, -24, -17, 11, -18, -16, 13, 11, -26, -37, 0, 12, -19, -70, 5, -26, -16, -16, -10, 1, 6, -34, 3, -27, 7, 16, -10, -59, -3, 15, -19, -38, 48, -32, -22, -43, -5, -15, 13, -4, 8, 13, 23, 14, -37, -17, -37, 37, -67, -33, -33, -16, 9, -49, 4, 16, 17, -80, -40, -3, -32, -34, -10, -7, 9, -22, 15, 11, 14, -22, 1, -21, -22, -8, -21, -5, -32, 11, 3, -31, 50, -22, -10, -60, -15, -1, -31, -19, -20, 24, 10, 19, -45, 35, -32, 1, -22, -9, -44, -2, -19, -9, 12, -6, 3, -60, -4, 13, -36, -53, -1, 12, -43, -49, -20, 28, 13, -21, 6, 24, 9, -32, 4, -17, -8, 9, 13, -53, 17, -44, 9, -15, -15, -31, -25, -22, -1, -6, 17, 10, -31, 21, 18, 9, -2, -24, -50, 3, -27, -25, 20, -11, -12, -79, -41, -21, -39, -20, -40, -13, -38, -39, 4, 11, -9, -22, 13, 13, 25, -20, -1, -25, 1, 7, -13, -49, -38, -31, -8, 13, -41, -8, -11, -40, 7, 33, 9, 23, -59, -5, -1, 0, -20, 7, -13, 3, -26, -33, 7, -19, 5, -48, -33, -25, -7, 4, -9, -33, -2, -39, -22, 3, -19, 1, -26, -5, 14, -20, 4, 1, -2, -22, 9, -35, -1, -19, 0, -2, -26, -5, 0, -9, 6, 4, -38, 9, -9, 19, 14, -24, -25, 19, 9, -8, -6, -20, 6, 14, 27, -24, -5, -33, 18, -18, 2, -9, 3, 6, -37, 0, 2, -32, 24, -22, 6, -13, -20, -13, 9, -16, 15, -23, -42, 2, -15, -24, 23, -1, 15, 5, 1, -12, -36, 8, -25, 49, 8, -33, -21, 19, 13, -26, 4, -12, 5, 16, 2, -39, -10, -71, -16, -30, 17, -52, 24, -2, -37, 10, 28, -25, 20, -14, 4, 0, -41, -40, 2, -7, 19, -28, 15, -26, 18, -31, 3, -4, 21, -14, 15, -17, -8, 8, -7, 7, 11, -11, -28, 10, -25, -5, -15, -31, 27, -12, 2, 10, 19, -32, -34, -42, 10, 23, 4, -23, 4, 15};
+
+static const FullyConnectedOptions options = {
+ .input_shape = { 1, 3360 },
+ .input_offset = 128,
+ .output_shape = { 1, 32 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = 1101627648,
+ .output_shift = -5,
+ .filter_shape = { 32, 3360 },
+ .filter_offset = 0,
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+};
+
+void layer_013_fullyconnected(const int8_t in[3360], int8_t out[32]) {
+ opt::FullyConnected(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_014_fullyconnected.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_014_fullyconnected.cc
new file mode 100644
index 0000000..5f6388b
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_014_fullyconnected.cc
@@ -0,0 +1,24 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h"
+
+static const int32_t bias_data[] = {30, 43, 7, -5, -3, -45, -7, -5, -28, 28, -16, 7, 42, -18, 5, 11, 35, -39, 23, 20, 3, 25, -43, -106, 13, 14, -50, 1, 2, -7, 14, -89};
+static const int8_t filter_data[] = {2, 16, -6, 2, -24, -1, -12, 26, -15, 15, -12, -4, -21, -22, -3, 35, 2, -20, 27, 8, 52, 8, 2, 1, -13, -6, -15, -10, 30, 28, 35, -18, 3, 2, -20, -3, 2, 7, 27, -3, 3, 8, -2, 2, -6, -4, -5, -4, -1, -8, 4, 1, -15, -3, -13, 23, -5, -15, 7, 11, -2, -34, 2, -13, -5, 6, -22, 10, 14, -2, 10, -37, -3, -36, -6, -6, 0, -18, -4, 10, 22, 12, -12, -1, 31, 5, 22, 25, 2, -30, 8, -2, 7, -15, 12, 37, -9, 2, -31, -7, 2, -7, 15, -8, -4, -10, 5, 0, 17, -39, -14, -2, -4, -17, 8, 8, 33, -6, -26, -34, -4, 18, -23, -3, -6, 26, 32, 5, -16, 7, -22, 3, 4, 9, -20, 29, -18, 38, -6, -2, -25, 26, -4, -4, -1, -1, 21, 12, -127, -4, -5, 25, 10, 28, 25, -17, -1, 17, -28, 30, -111, 7, 25, 2, -2, 6, 15, 6, 0, 9, 3, -22, -42, -16, -16, -3, 10, -11, -36, 10, 69, 3, -1, -2, 18, 8, -9, -33, -3, 27, 26, 2, 5, 28, 10, -26, -9, -1, 30, 2, 2, -19, 6, -4, -7, -24, 7, 8, -42, -6, 34, -12, -14, -14, 33, 9, -19, 0, 1, -8, -27, -17, 17, -42, -8, -21, 24, 3, -13, -4, 29, 26, -15, -28, 2, -2, -11, 20, 4, -1, -1, 3, -15, 30, -13, -4, 5, -4, 0, 8, -19, 2, 1, 7, 0, -19, 0, 1, 28, -2, -22, 1, -1, 11, 6, 12, 15, -3, 16, 7, -10, 2, -2, -9, -15, 4, 0, -1, 10, -22, 6, 12, 7, -10, 1, 31, -9, 0, 17, 9, 12, -1, -14, -3, -21, 2, 17, 25, -3, -19, -5, -24, 0, 3, -4, -6, -4, 10, -36, 8, -6, 38, -16, -29, -31, -7, -5, 4, 26, 6, 9, -12, -20, -24, -28, -19, 12, -2, -63, -14, 8, -40, -35, 26, 38, -14, -11, 17, 10, 20, 7, -8, 8, -17, 2, -19, -10, -1, -12, 9, -31, -33, 0, 2, 5, 4, -12, 5, 29, 28, -5, 19, -5, 2, -11, -11, -10, -7, -2, 15, -22, -2, 5, 11, -14, -19, 2, -23, -3, 6, 3, -15, 10, -29, -16, 5, -22, -4, -13, -33, 9, -32, -14, 30, -16, -14, -11, -23, -1, 12, 60, -30, 19, 11, 35, -9, -32, 11, -22, -23, -25, -15, 0, 27, 1, -12, 0, 34, -33, 1, -2, -5, 12, -25, 4, 26, 9, 5, -4, -29, 13, -2, 0, -11, 13, -20, -3, -4, -11, 23, 2, -29, 4, -15, -2, 18, 8, -17, 21, 6, 1, 3, 4, -2, 8, 18, 6, 25, -4, 5, -3, -23, 10, 1, -10, 2, 18, 4, -20, 2, 37, -18, -1, 15, -22, 0, -4, 2, 31, -24, 41, 10, -15, 4, -50, -35, -1, -12, 45, -13, 2, 63, -51, -27, -6, -3, -3, 19, -21, -10, 12, 4, -7, 15, -2, 12, -9, -1, -23, -37, 22, -10, -15, 14, -25, -2, -7, -11, -11, 29, -7, 18, -18, -6, -4, 2, -5, 3, 2, -6, 12, 18, 38, 9, -13, -2, -6, 19, -22, -5, -2, 6, -24, -15, -40, -8, 0, -8, -6, 8, -15, 31, -11, 11, -6, -14, -13, 36, -23, 13, -13, -15, 13, -13, -34, 12, -9, 9, 12, 19, -32, 5, -2, 18, 0, -19, 4, 10, 22, -5, -31, 2, -26, -34, 13, 3, -30, 5, -3, -41, 2, 3, -2, -14, -6, 1, -33, -1, 20, -28, 1, 2, -11, 14, -2, -13, -20, -35, -3, 10, -15, 2, 0, -26, 8, -13, -19, 10, -50, -15, -34, -20, 2, 9, -1, 1, 35, -1, 13, -2, 17, -15, -8, -29, 30, 5, -8, 20, 24, -18, -4, 6, -25, -1, 6, 17, 13, 3, -13, 33, -20, -9, -14, 20, -4, 2, -1, -2, -10, 2, -16, -2, 20, 3, -2, -1, 6, 6, -4, 4, -6, -111, -8, 7, 12, 4, -6, -5, -23, 6, -1, -27, -8, 9, -1, -30, -3, 4, -14, 8, -21, 4, 28, -23, -31, 1, 2, 3, 3, -4, 2, 10, -6, -71, 7, -6, -2, -59, 2, -9, 10, -24, 12, -18, 7, 8, -15, -5, 13, -18, -85, -60, 4, -11, -40, -8, -14, -14, -9, -19, -31, 3, -24, -12, -15, 6, -3, -8, -21, -7, 1, 6, -7, 11, 6, -10, 4, -14, -6, 11, -5, -1, -2, -4, 17, -12, 77, -17, -15, -31, 8, 3, -37, 4, 2, -2, 33, -70, 35, 15, -13, -12, -23, -31, 19, 26, 59, 24, -6, 45, -55, 23, 26, -10, -11, 18, 6, -1, -121, -7, -30, -24, -3, -10, -17, -1, -24, -13, 24, 5, -8, 0, -11, -4, -18, -5, -14, -10, -14, -14, 8, -7, 9, 20, -6, -1, -1, -6, 30, -6, -8, -5, 6, -14, -5, 14, -39, 17, 2, 27, -10, -4, 3, -10, -16, -11, -1, 9, 8, 7, -9, 15, -3, 4, -5, -36, 1, -8, -18, 6, -20, 7, -48, -14, -3, 20, -17, 8, 31, 4, -17, 23, -17, -19, -8, 19, -4, 0, -13, -3, -30, -39, 17, -20, 6, -20, -12, -36, 22, -3, -3, -10, -34, -5, 0, -6, 26, -26, 1, -28, -11, -7, -5, 29, 15, 5, 7, 8, 3, -10, -3, 3, 22, 23, -15, -13, -5, 11, 3, -9, 17, -5, -4, -17, -5, 9, -15, -10, -23, -20, -6, -7, 20, -2, -7, 9, -29, -7, -3, -2, 29, -1, 27, 10, 3, -13, -4, -23, -5, -5, -4, -7, 0, 0, 1, 11, 5, -9, 12, -6, -34, 23, -11, -26, -28, 14, -2, 18, 11, 17, 2, 2, -10, -7, -1, -16, 8, -24, 8, 18, 16, 4, -15, 19, 9, -5, -4, 10, 19, 4, 3, -4, 9, -13, -2, 8, 8, 2, -6, 19, 8, -42, -3, -8, -15, 39, -13, -2, 9, -33, 6, -7, -5, -8, -13, 19, -1, -8, -8, -9, 24, 9, -23, -3, -29, -14, -11, 20, -19, 8, -7, -28, 10, 14};
+
+static const FullyConnectedOptions options = {
+ .input_shape = { 1, 32 },
+ .input_offset = 128,
+ .output_shape = { 1, 32 },
+ .output_offset = -128,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = 1255393152,
+ .output_shift = -4,
+ .filter_shape = { 32, 32 },
+ .filter_offset = 0,
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+};
+
+void layer_014_fullyconnected(const int8_t in[32], int8_t out[32]) {
+ opt::FullyConnected(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_015_fullyconnected.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_015_fullyconnected.cc
new file mode 100644
index 0000000..89f6353
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_015_fullyconnected.cc
@@ -0,0 +1,24 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h"
+
+static const int32_t bias_data[] = {-994, -1079};
+static const int8_t filter_data[] = {-40, 94, -112, 45, 42, 59, -30, 77, 41, -11, 53, -32, -45, 67, 24, 79, -46, -12, 31, 49, 26, -44, -127, -58, 56, 56, -64, 44, 25, 93, 68, -84, -61, 34, -122, -7, 55, 22, -61, -31, 62, -75, -47, -5, -45, -22, -70, -80, -83, -75, 51, 59, 57, -41, 21, -71, -36, 53, -72, -64, -68, 89, 11, -55};
+
+static const FullyConnectedOptions options = {
+ .input_shape = { 1, 32 },
+ .input_offset = 128,
+ .output_shape = { 1, 2 },
+ .output_offset = 44,
+ .output_activation_min = -128,
+ .output_activation_max = 127,
+ .output_multiplier = 1879992448,
+ .output_shift = -8,
+ .filter_shape = { 2, 32 },
+ .filter_offset = 0,
+ .filter_data = filter_data,
+ .bias_data = bias_data,
+};
+
+void layer_015_fullyconnected(const int8_t in[32], int8_t out[2]) {
+ opt::FullyConnected(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/layer_016_logistic.cc b/sw/device/tests/kelvin/hps-c-port/model/src/layer_016_logistic.cc
new file mode 100644
index 0000000..1b1a6c1
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/layer_016_logistic.cc
@@ -0,0 +1,14 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_logistic.h"
+
+static const uint8_t table[] = {129, 129, 129, 130, 130, 130, 130, 131, 131, 131, 132, 132, 133, 134, 134, 135, 136, 137, 138, 139, 141, 142, 144, 146, 148, 151, 153, 156, 159, 163, 167, 171, 176, 181, 186, 192, 198, 204, 211, 218, 225, 233, 240, 248, 0, 8, 16, 23, 31, 38, 45, 52, 58, 64, 70, 75, 80, 85, 89, 93, 97, 100, 103, 105, 108, 110, 112, 114, 115, 117, 118, 119, 120, 121, 122, 122, 123, 124, 124, 125, 125, 125, 126, 126, 126, 126, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 129};
+
+static const LogisticOptions options = {
+ .input_shape = { 1, 2 },
+ .output_shape = { 1, 2 },
+ .table = table,
+};
+
+void layer_016_logistic(const int8_t in[2], int8_t out[2]) {
+ ref::Logistic(options, in, out);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/model.cc b/sw/device/tests/kelvin/hps-c-port/model/src/model.cc
new file mode 100644
index 0000000..dceab95
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/model.cc
@@ -0,0 +1,56 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/layers.h"
+
+int8_t buffer_000[120 * 160 * 16] __aligned__ __noinit__;
+int8_t buffer_001[120 * 160 * 16] __aligned__ __noinit__;
+int8_t buffer_002[120 * 160 * 16] __aligned__ __noinit__;
+int8_t buffer_003[60 * 80 * 16] __aligned__ __noinit__;
+int8_t buffer_004[60 * 80 * 48] __aligned__ __noinit__;
+int8_t buffer_005[60 * 80 * 48] __aligned__ __noinit__;
+int8_t buffer_006[30 * 40 * 48] __aligned__ __noinit__;
+int8_t buffer_007[30 * 40 * 48] __aligned__ __noinit__;
+int8_t buffer_008[(15+1/*pad for overwriting*/) * 20 * 48] __aligned__ __noinit__;
+int8_t buffer_009[(15+1/*pad for overwriting*/) * 20 * 48] __aligned__ __noinit__;
+int8_t buffer_010[(7+1/*pad for overwriting*/) * 10 * 48] __aligned__ __noinit__;
+int8_t buffer_011[(7+1/*pad for overwriting*/) * 10 * 48] __aligned__ __noinit__;
+int8_t buffer_012[3360] __aligned__ __noinit__;
+int8_t buffer_013[32] __aligned__ __noinit__;
+int8_t buffer_014[32] __aligned__ __noinit__;
+int8_t buffer_015[2] __aligned__ __noinit__;
+int8_t buffer_016[2] __aligned__ __noinit__;
+
+void model(const int8_t *input, int8_t *output) {
+ printf("Layer(000)\n");
+ layer_000_conv_2d(input, buffer_000);
+ printf("Layer(001)\n");
+ layer_001_conv_2d(buffer_000, buffer_001);
+ printf("Layer(002)\n");
+ layer_002_conv_2d(buffer_001, buffer_002);
+ printf("Layer(003)\n");
+ layer_003_max_pool_2d(buffer_002, buffer_003);
+ printf("Layer(004)\n");
+ layer_004_conv_2d(buffer_003, buffer_004);
+ printf("Layer(005)\n");
+ layer_005_conv_2d(buffer_004, buffer_005);
+ printf("Layer(006)\n");
+ layer_006_max_pool_2d(buffer_005, buffer_006);
+ printf("Layer(007)\n");
+ layer_007_conv_2d(buffer_006, buffer_007);
+ printf("Layer(008)\n");
+ layer_008_max_pool_2d(buffer_007, buffer_008);
+ printf("Layer(009)\n");
+ layer_009_conv_2d(buffer_008, buffer_009);
+ printf("Layer(010)\n");
+ layer_010_max_pool_2d(buffer_009, buffer_010);
+ printf("Layer(011)\n");
+ layer_011_conv_2d(buffer_010, buffer_011);
+ printf("Layer(012)\n");
+ layer_012_reshape(buffer_011, buffer_012);
+ printf("Layer(013)\n");
+ layer_013_fullyconnected(buffer_012, buffer_013);
+ printf("Layer(014)\n");
+ layer_014_fullyconnected(buffer_013, buffer_014);
+ printf("Layer(015)\n");
+ layer_015_fullyconnected(buffer_014, buffer_015);
+ printf("Layer(016)\n");
+ layer_016_logistic(buffer_015, output);
+}
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_conv2d_per_ch.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_conv2d_per_ch.cc
new file mode 100644
index 0000000..82e9457
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_conv2d_per_ch.cc
@@ -0,0 +1,749 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_conv2d_per_ch.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h"
+
+namespace opt {
+
+constexpr int kPad = 256; // ceil_to_pow2(zi=48), last layer (16-10)*48=288
+constexpr int kPad2 = kPad * 2;
+static int8_t buffer_[400 * 1024] __aligned__ __noinit__;
+
+constexpr int VL32 = 256 / 32; // uint32x8_t
+
+void Filter_16_4_4_1(const int8_t *input, int8_t *output) {
+ // Convert: input [zo][ky][kx][zi] (16,4,4,1)
+ // output [zo.hi][ky][zo.lo][kx{zi}]
+ const int8_t (&in)[16][4][4][1] = *(int8_t (*)[16][4][4][1]) input;
+ int8_t (&out)[2][4][8][4] = *(int8_t (*)[2][4][8][4]) output;
+ for (int zo = 0; zo < 16; ++zo) {
+ for (int ky = 0; ky < 4; ++ky) {
+ for (int kx = 0; kx < 4; ++kx) {
+ for (int zi = 0; zi < 1; ++zi) {
+ const int zo_hi = zo >> 3; // div8
+ const int zo_lo = zo & 7; // rem8
+ out[zo_hi][ky][zo_lo][kx] = in[zo][ky][kx][zi];
+ }
+ }
+ }
+ }
+}
+
+template<int N, int M>
+void Filter_N_4_4_M(const int8_t *input, int8_t *output) {
+ // Convert: input [zo][ky][kx][zi] (N,4,4,M)
+ // output [zo.hi=N/8][ky][kx][zi_hi=M/4][zo.lo=8][zi_lo=4]
+ const int8_t (&in)[N][4][4][M] = *(int8_t (*)[N][4][4][M]) input;
+ int8_t (&out)[N/8][4][4][M/4][8][4] = *(int8_t (*)[N/8][4][4][M/4][8][4]) output;
+
+ assert(N >= 4 && M >= 4);
+
+ for (int zo = 0; zo < N; ++zo) {
+ for (int ky = 0; ky < 4; ++ky) {
+ for (int kx = 0; kx < 4; ++kx) {
+ for (int zi = 0; zi < M; ++zi) {
+ const int zo_hi = zo >> 3; // div8
+ const int zo_lo = zo & 7; // rem8
+ const int zi_hi = zi >> 2; // div4
+ const int zi_lo = zi & 3; // rem4
+ out[zo_hi][ky][kx][zi_hi][zo_lo][zi_lo] = in[zo][ky][kx][zi];
+ }
+ }
+ }
+ }
+}
+
+template<int N>
+static void Swizzle(const int32_t in[N], int32_t out[N * 4], bool negate = false) {
+ // Convert to accumulator swizzle pattern.
+ for (int i = 0; i < N / 8; ++i) {
+ int32_t *out0 = out + i * 32 + 0;
+ int32_t *out1 = out + i * 32 + 16;
+ int32_t *out2 = out + i * 32 + 8;
+ int32_t *out3 = out + i * 32 + 24;
+ for (int j = 0; j < 4; ++j) {
+ const int32_t *p_in = in + i * 8;
+ for (int k = 0; k < 2; ++k) {
+ *out0++ = *p_in++;
+ *out1++ = *p_in++;
+ *out2++ = *p_in++;
+ *out3++ = *p_in++;
+ }
+ }
+ }
+
+ if (negate) {
+ for (int i = 0; i < N * 4; ++i) {
+ out[i] = -out[i];
+ }
+ }
+}
+
+#define INA0 v0
+#define INA1 v1
+#define INA2 v2
+#define INA3 v3
+#define INA4 v4
+#define INA5 v5
+#define INA6 v6
+#define INA7 v7
+#define INB0 v16
+#define INB1 v17
+#define INB2 v18
+#define INB3 v19
+#define INB4 v20
+#define INB5 v21
+#define INB6 v22
+#define INB7 v23
+#define INC0 v32
+#define INC1 v33
+#define INC2 v34
+#define INC3 v35
+#define INC4 v36
+#define INC5 v37
+#define INC6 v38
+#define INC7 v39
+#define IND0 v48
+#define IND1 v49
+#define IND2 v50
+#define IND3 v51
+#define IND4 v52
+#define IND5 v53
+#define IND6 v54
+#define IND7 v55
+
+#define FLTA0 v8
+#define FLTA1 v12
+#define FLTB0 v24
+#define FLTB1 v28
+#define FLTC0 v40
+#define FLTC1 v44
+#define FLTD0 v56
+#define FLTD1 v60
+
+#define BIAS v36
+#define MULT v40
+#define SHFT v44
+
+#define ACC v48
+#define ACC0 v48
+#define ACC1 v52
+
+#define OUT0 v56
+#define OUT1 v57
+
+#define L0 v48
+#define L1 v49
+#define L2 v50
+#define L3 v51
+#define L4 v52
+#define L5 v53
+#define L6 v54
+#define L7 v55
+#define L8 v56
+#define L9 v57
+#define LA v58
+#define LB v59
+#define LC v60
+#define LD v61
+#define LE v62
+#define LF v63
+#define LG v48
+
+void Conv2D_16_4_4_1(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out) {
+ const int stride_width = options.stride_w;
+ const int stride_height = options.stride_h;
+ const int pad_width = options.padding_w;
+ const int pad_height = options.padding_h;
+
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int input_depth = options.input_shape[3];
+ const int32_t input_offset = options.input_offset;
+
+ const int filter_height = options.filter_shape[1];
+ const int filter_width = options.filter_shape[2];
+ const int filter_input_depth = options.filter_shape[3];
+
+ const int32_t *bias_data = options.bias_data;
+
+ int32_t bias[64];
+ int32_t mult[64];
+ int32_t shft[64];
+ int8_t filter_data[2 /*zo.hi*/][4 /*ky*/][4 * 8 /*kx*zo.lo]*/] __aligned__;
+
+ Swizzle<16>(options.bias_data, bias);
+ Swizzle<16>(options.output_multiplier, mult);
+ Swizzle<16>(options.output_shift, shft, true);
+ Filter_16_4_4_1(options.filter_data, filter_data[0][0]);
+
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int output_depth = options.output_shape[3];
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int32_t *output_multiplier = options.output_multiplier;
+ const int32_t *output_shift = options.output_shift;
+
+ assert(input_depth == filter_input_depth);
+ assert(options.dilation_w_factor == 1);
+ assert(options.dilation_h_factor == 1);
+ assert(pad_width == 0);
+ assert(pad_height == 0);
+ assert(bias_data);
+
+ uint32_t cmd;
+ union {
+ vconv_u8_t conv;
+ uint32_t raw;
+ } cmds;
+ cmds.conv.mode = 0;
+ cmds.conv.start = 0;
+ cmds.conv.stop = 0;
+ cmds.conv.sbias1 = input_offset;
+ cmds.conv.sdata1 = true;
+ cmds.conv.sbias2 = 0;
+ cmds.conv.sdata2 = true;
+
+ const int8_t *input_data = in;
+ int8_t *output_data = mmap_uncached(out); // uncached outputs
+
+ for (int zo_hi = 0; zo_hi < output_depth; zo_hi += VL32) {
+ vld_w_x_m(BIAS, bias + zo_hi * 4);
+ vld_w_x_m(BIAS, bias + zo_hi * 4);
+ vld_w_x_m(MULT, mult + zo_hi * 4);
+ vld_w_x_m(MULT, mult + zo_hi * 4);
+ vld_w_x_m(SHFT, shft + zo_hi * 4);
+ vld_w_x_m(SHFT, shft + zo_hi * 4);
+
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ const int in_y = (out_y * stride_height);
+ for (int out_x_hi = 0; out_x_hi < output_width; out_x_hi += VL32) {
+ const int in_x = (out_x_hi * stride_width);
+ const int out_x = out_x_hi;
+
+ const int8_t *p_in = input_data + (in_y * input_width + in_x) * input_depth + (in_y * kPad2);
+ const int8_t *p_filter_data = filter_data[zo_hi / 8][0];
+
+ int vl, len = (input_width - in_x);
+ getvl_b_x(vl, len);
+
+ for (int filter_y = 0; filter_y < filter_height; ++filter_y) {
+ vld_b_x(INA0, p_in);
+ p_in += input_width + kPad2;
+
+ vld_b_x(FLTA0, p_filter_data);
+ p_filter_data += 32;
+
+ vsliden_h_1_vv(INA1, INA0, INA0);
+ vsliden_h_2_vv(INA2, INA0, INA0);
+ vsliden_h_3_vv(INA3, INA0, INA0);
+ vsliden_w_2_vv(INA4, INA0, INA0);
+ vsliden_w_2_vv(INA5, INA1, INA1);
+ vsliden_w_2_vv(INA6, INA2, INA2);
+ vsliden_w_2_vv(INA7, INA3, INA3);
+
+ aconv_vxv(ACC, INA0, cmds, FLTA0);
+ }
+
+ vcget(ACC);
+
+ vadd_w_vv_m(ACC0, ACC0, BIAS);
+ vadd_w_vv_m(ACC1, ACC1, BIAS);
+ vdmulh_w_r_vv_m(ACC0, ACC0, MULT);
+ vdmulh_w_r_vv_m(ACC1, ACC1, MULT);
+ vsha_w_r_vv_m(ACC0, ACC0, SHFT);
+ vsha_w_r_vv_m(ACC1, ACC1, SHFT);
+ vadd_w_vx_m(ACC0, ACC0, -128);
+ vadd_w_vx_m(ACC1, ACC1, -128);
+ vsraqs_b_vx(OUT0, ACC0, 0);
+ vsraqs_b_vx(OUT1, ACC1, 0);
+
+ int8_t *p_out = output_data + Offset(options.output_shape, 0, out_y, out_x, zo_hi);
+ vstq_b_sp_xx(OUT0, p_out, output_depth);
+ vstq_b_sp_xx(OUT1, p_out, output_depth);
+ }
+ }
+ }
+
+ fence(); // uncached outputs
+}
+
+template<int N>
+void Conv2D_N_4_4_16(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out) {
+ flushall(); // uncached inputs
+
+ const int stride_width = options.stride_w;
+ const int stride_height = options.stride_h;
+ const int dilation_width_factor = options.dilation_w_factor;
+ const int dilation_height_factor = options.dilation_h_factor;
+ const int pad_width = options.padding_w;
+ const int pad_height = options.padding_h;
+
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int input_depth = options.input_shape[3];
+ const int32_t input_offset = options.input_offset;
+
+ const int filter_height = options.filter_shape[1];
+ const int filter_width = options.filter_shape[2];
+ const int filter_input_depth = options.filter_shape[3];
+
+ const int32_t *bias_data = options.bias_data;
+
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int output_depth = options.output_shape[3];
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int32_t *output_multiplier = options.output_multiplier;
+ const int32_t *output_shift = options.output_shift;
+
+ assert(options.stride_w == 1);
+ assert(options.stride_h == 1);
+ assert(options.dilation_w_factor == 1);
+ assert(options.dilation_h_factor == 1);
+ assert(pad_width == 0);
+ assert(pad_height == 0);
+ assert((output_width & 7) == 0);
+
+ int32_t bias[N * 4] __aligned__;
+ int32_t mult[N * 4] __aligned__;
+ int32_t shft[N * 4] __aligned__;
+ Swizzle<N>(options.bias_data, bias);
+ Swizzle<N>(options.output_multiplier, mult);
+ Swizzle<N>(options.output_shift, shft, true);
+
+ int8_t filter_data[N/8][4][4][4][8][4] __aligned__;
+ Filter_N_4_4_M<N,16>(options.filter_data, filter_data[0][0][0][0][0]);
+
+ const int8_t *input_data = mmap_uncached(in);
+ int8_t *output_data = mmap_uncached(out);
+
+ uint32_t cmd;
+ union {
+ vconv_u8_t conv;
+ uint32_t raw;
+ } cmds;
+ cmds.conv.mode = 0;
+ cmds.conv.start = 0;
+ cmds.conv.stop = 7;
+ cmds.conv.sbias1 = input_offset;
+ cmds.conv.sdata1 = true;
+ cmds.conv.sbias2 = 0;
+ cmds.conv.sdata2 = true;
+
+ const int in_off = input_width * input_depth + kPad2; // eg. 2608 = 163 * 16
+ const int flt_off = 4 * 4 * 8 * 4; // eg. 512
+
+ for (int zo_hi = 0; zo_hi < output_depth; zo_hi += VL32) {
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ for (int out_x_hi = 0; out_x_hi < output_width; out_x_hi += VL32) {
+ int32_t acc[8][8] = {0};
+
+ const int8_t *p_in = input_data + (out_y * input_width + out_x_hi) * input_depth + (out_y * kPad2);
+ const int8_t *p_flt = filter_data[zo_hi/8][0][0][0][0];
+
+ for (int filter_y = 0; filter_y < 4 /*filter_height*/; ++filter_y) {
+ const int in_y = out_y + filter_y;
+ const int in_x = out_x_hi;
+
+#define CONV(X, Y) \
+ vld_b_x(IN##X##0, p_in + 32 * 0); \
+ vld_b_x(IN##X##2, p_in + 32 * 1); \
+ vld_b_x(IN##X##4, p_in + 32 * 2); \
+ vld_b_x(IN##X##6, p_in + 32 * 3); \
+ vld_b_x(IN##Y##0, p_in + 32 * 4); \
+ vld_b_x_m(FLT##X##0, p_flt + 128 * 0); \
+ vld_b_x_m(FLT##X##1, p_flt + 128 * 1); \
+ vsliden_w_4_vv(IN##X##1, IN##X##0, IN##X##2); \
+ vsliden_w_4_vv(IN##X##3, IN##X##2, IN##X##4); \
+ vsliden_w_4_vv(IN##X##5, IN##X##4, IN##X##6); \
+ vsliden_w_4_vv(IN##X##7, IN##X##6, IN##Y##0); \
+ aconv_vxv(ACC, IN##X##0, cmds, FLT##X##0); \
+ vld_b_x(IN##Y##2, p_in + 32 * 5); \
+ vld_b_x_m(FLT##Y##0, p_flt + 128 * 2); \
+ vld_b_x_m(FLT##Y##1, p_flt + 128 * 3); \
+ vsliden_w_4_vv(IN##Y##1, IN##Y##0, IN##Y##2); \
+ vmvp_vv(IN##Y##6, IN##Y##0, IN##Y##1); \
+ vmvp_vv(IN##Y##0, IN##X##2, IN##X##3); \
+ vmvp_vv(IN##Y##2, IN##X##4, IN##X##5); \
+ vmvp_vv(IN##Y##4, IN##X##6, IN##X##7); \
+ aconv_vxv(ACC, IN##Y##0, cmds, FLT##Y##0);
+
+ if (filter_y & 1) {
+ CONV(A, B);
+ } else {
+ CONV(C, D);
+ }
+
+ p_in += in_off;
+ p_flt += flt_off;
+ }
+
+ vcget(ACC);
+
+ vld_w_x_m(BIAS, bias + zo_hi * 4);
+ vld_w_x_m(MULT, mult + zo_hi * 4);
+ vld_w_x_m(SHFT, shft + zo_hi * 4);
+
+ vadd_w_vv_m(ACC0, ACC0, BIAS);
+ vadd_w_vv_m(ACC1, ACC1, BIAS);
+ vdmulh_w_r_vv_m(ACC0, ACC0, MULT);
+ vdmulh_w_r_vv_m(ACC1, ACC1, MULT);
+ vsha_w_r_vv_m(ACC0, ACC0, SHFT);
+ vsha_w_r_vv_m(ACC1, ACC1, SHFT);
+ vadd_w_vx_m(ACC0, ACC0, -128);
+ vadd_w_vx_m(ACC1, ACC1, -128);
+ vsraqs_b_vx(OUT0, ACC0, 0);
+ vsraqs_b_vx(OUT1, ACC1, 0);
+
+ int8_t *p_out = output_data + Offset(options.output_shape, 0, out_y, out_x_hi, zo_hi);
+ vstq_b_sp_xx(OUT0, p_out, output_depth);
+ vstq_b_sp_xx(OUT1, p_out, output_depth);
+ }
+ }
+ }
+
+ fence(); // uncached outputs
+}
+
+void Conv2D_48_4_4_48(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out) {
+ flushall(); // uncached inputs
+
+ const int stride_width = options.stride_w;
+ const int stride_height = options.stride_h;
+ const int dilation_width_factor = options.dilation_w_factor;
+ const int dilation_height_factor = options.dilation_h_factor;
+ const int pad_width = options.padding_w;
+ const int pad_height = options.padding_h;
+
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int input_depth = options.input_shape[3];
+ const int32_t input_offset = options.input_offset;
+
+ const int filter_height = options.filter_shape[1];
+ const int filter_width = options.filter_shape[2];
+ const int filter_input_depth = options.filter_shape[3];
+
+ const int32_t *bias_data = options.bias_data;
+
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int output_depth = options.output_shape[3];
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int32_t *output_multiplier = options.output_multiplier;
+ const int32_t *output_shift = options.output_shift;
+
+ const int8_t *input_data = mmap_uncached(in);
+ int8_t *output_data = mmap_uncached(out);
+
+ assert(options.stride_w == 1);
+ assert(options.stride_h == 1);
+ assert(options.dilation_w_factor == 1);
+ assert(options.dilation_h_factor == 1);
+ assert(pad_width == 0);
+ assert(pad_height == 0);
+
+ int32_t bias[48 * 4] __aligned__;
+ int32_t mult[48 * 4] __aligned__;
+ int32_t shft[48 * 4] __aligned__;
+ Swizzle<48>(options.bias_data, bias);
+ Swizzle<48>(options.output_multiplier, mult);
+ Swizzle<48>(options.output_shift, shft, true);
+
+ int8_t filter_data[6][4][4][12][8][4] __aligned__;
+ Filter_N_4_4_M<48,48>(options.filter_data, filter_data[0][0][0][0][0]);
+
+ uint32_t cmd;
+ union {
+ vconv_u8_t conv;
+ uint32_t raw;
+ } cmds;
+ cmds.conv.mode = 0;
+ cmds.conv.start = 0;
+ cmds.conv.stop = 7;
+ cmds.conv.sbias1 = input_offset;
+ cmds.conv.sdata1 = true;
+ cmds.conv.sbias2 = 0;
+ cmds.conv.sdata2 = true;
+
+ const int in_off = input_width * input_depth + kPad2; // eg. 2608 = 163 * 16
+ const int flt_off = 4 * 12 * 8 * 4; // eg. 1536
+
+ for (int zo_hi = 0; zo_hi < output_depth; zo_hi += VL32) {
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ for (int out_x_hi = 0; out_x_hi < output_width; out_x_hi += VL32) {
+ int32_t acc[8][8] = {0};
+
+ const int8_t *p_in = input_data + (out_y * input_width + out_x_hi) * input_depth + (out_y * kPad2);
+ const int8_t *p_flt = filter_data[zo_hi/8][0][0][0][0];
+
+ for (int filter_y = 0; filter_y < 4 /*filter_height*/; ++filter_y) {
+ const int in_y = out_y + filter_y;
+ const int in_x = out_x_hi;
+
+ // L0 L1 L2 L3 L4 L5 L6 L7 L8 L9 LA LB LC LD LE LF LG
+ // AA AB BB CC CD DD EE EF FF GG GH HH II IJ JJ KK K_
+ vld_b_x(L0, p_in + 32 * 0);
+ vld_b_x(L1, p_in + 32 * 1);
+ vld_b_x(L2, p_in + 32 * 2);
+ vld_b_x(L3, p_in + 32 * 3);
+ vld_b_x(L4, p_in + 32 * 4);
+ vld_b_x(L5, p_in + 32 * 5);
+ vld_b_x(L6, p_in + 32 * 6);
+ vld_b_x(L7, p_in + 32 * 7);
+ vld_b_x(L8, p_in + 32 * 8);
+ vld_b_x(L9, p_in + 32 * 9);
+ vld_b_x(LA, p_in + 32 * 10);
+ vld_b_x(LB, p_in + 32 * 11);
+
+ // 1/6
+ vmv_v(INA0, L0); // AA
+ vsliden_w_4_vv(INA1, L1, L2); // BB
+ vmv_v(INA2, L3); // CC
+ vsliden_w_4_vv(INA3, L4, L5); // DD
+ vmv_v(INA4, L6); // EE
+ vsliden_w_4_vv(INA5, L7, L8); // FF
+ vmv_v(INA6, L9); // GG
+ vsliden_w_4_vv(INA7, LA, LB); // HH
+ vld_b_x_m(FLTA0, p_flt + 128 * 0);
+ vld_b_x_m(FLTA1, p_flt + 128 * 1);
+ aconv_vxv(ACC, INA0, cmds, FLTA0);
+
+ vld_b_x(LC, p_in + 32 * 12);
+
+ // 2/6
+ vmv_v(INB0, L1); // AB
+ vsliden_w_4_vv(INB1, L2, L3); // BC
+ vmv_v(INB2, L4); // CD
+ vsliden_w_4_vv(INB3, L5, L6); // DE
+ vmv_v(INB4, L7); // EF
+ vsliden_w_4_vv(INB5, L8, L9); // FG
+ vmv_v(INB6, LA); // GH
+ vsliden_w_4_vv(INB7, LB, LC); // HI
+ vld_b_x_m(FLTB0, p_flt + 128 * 2);
+ vld_b_x_m(FLTB1, p_flt + 128 * 3);
+ aconv_vxv(ACC, INB0, cmds, FLTB0);
+
+ vld_b_x(LD, p_in + 32 * 13);;
+
+ // 3/6
+ vmv_v(INC0, L2); // BB
+ vsliden_w_4_vv(INC1, L3, L4); // CC
+ vmv_v(INC2, L5); // DD
+ vsliden_w_4_vv(INC3, L6, L7); // EE
+ vmv_v(INC4, L8); // FF
+ vsliden_w_4_vv(INC5, L9, LA); // GG
+ vmv_v(INC6, LB); // HH
+ vsliden_w_4_vv(INC7, LC, LD); // II
+ vld_b_x_m(FLTC0, p_flt + 128 * 4);
+ vld_b_x_m(FLTC1, p_flt + 128 * 5);
+ aconv_vxv(ACC, INC0, cmds, FLTC0);
+
+ vld_b_x(LE, p_in + 32 * 14);;
+
+ // 4/6
+ vmv_v(INA0, L3); // CC
+ vsliden_w_4_vv(INA1, L4, L5); // DD
+ vmv_v(INA2, L6); // EE
+ vsliden_w_4_vv(INA3, L7, L8); // FF
+ vmv_v(INA4, L9); // GG
+ vsliden_w_4_vv(INA5, LA, LB); // HH
+ vmv_v(INA6, LC); // II
+ vsliden_w_4_vv(INA7, LD, LE); // JJ
+ vld_b_x_m(FLTA0, p_flt + 128 * 6);
+ vld_b_x_m(FLTA1, p_flt + 128 * 7);
+ aconv_vxv(ACC, INA0, cmds, FLTA0);
+
+ vld_b_x(LF, p_in + 32 * 15);;
+
+ // 5/6
+ vmv_v(INB0, L4); // CD
+ vsliden_w_4_vv(INB1, L5, L6); // DE
+ vmv_v(INB2, L7); // EF
+ vsliden_w_4_vv(INB3, L8, L9); // FG
+ vmv_v(INB4, LA); // GH
+ vsliden_w_4_vv(INB5, LB, LC); // HI
+ vmv_v(INB6, LD); // IJ
+ vsliden_w_4_vv(INB7, LE, LF); // JK
+ vld_b_x_m(FLTB0, p_flt + 128 * 8);
+ vld_b_x_m(FLTB1, p_flt + 128 * 9);
+ aconv_vxv(ACC, INB0, cmds, FLTB0);
+
+ vld_b_x(LG, p_in + 32 * 16);;
+
+ // 6/6
+ vmv_v(INC0, L5); // DD
+ vsliden_w_4_vv(INC1, L6, L7); // EE
+ vmv_v(INC2, L8); // FF
+ vsliden_w_4_vv(INC3, L9, LA); // GG
+ vmv_v(INC4, LB); // HH
+ vsliden_w_4_vv(INC5, LC, LD); // II
+ vmv_v(INC6, LE); // JJ
+ vsliden_w_4_vv(INC7, LF, LG); // KK
+ vld_b_x_m(FLTC0, p_flt + 128 * 10);
+ vld_b_x_m(FLTC1, p_flt + 128 * 11);
+ aconv_vxv(ACC, INC0, cmds, FLTC0);
+
+ p_in += in_off;
+ p_flt += flt_off;
+ }
+
+ vcget(ACC);
+
+ vld_w_x_m(BIAS, bias + zo_hi * 4);
+ vld_w_x_m(MULT, mult + zo_hi * 4);
+ vld_w_x_m(SHFT, shft + zo_hi * 4);
+
+ vadd_w_vv_m(ACC0, ACC0, BIAS);
+ vadd_w_vv_m(ACC1, ACC1, BIAS);
+ vdmulh_w_r_vv_m(ACC0, ACC0, MULT);
+ vdmulh_w_r_vv_m(ACC1, ACC1, MULT);
+ vsha_w_r_vv_m(ACC0, ACC0, SHFT);
+ vsha_w_r_vv_m(ACC1, ACC1, SHFT);
+ vadd_w_vx_m(ACC0, ACC0, -128);
+ vadd_w_vx_m(ACC1, ACC1, -128);
+ vsraqs_b_vx(OUT0, ACC0, 0);
+ vsraqs_b_vx(OUT1, ACC1, 0);
+
+ int8_t *p_out = output_data + Offset(options.output_shape, 0, out_y, out_x_hi, zo_hi);
+ vstq_b_sp_xx(OUT0, p_out, output_depth);
+ vstq_b_sp_xx(OUT1, p_out, output_depth);
+ }
+ }
+ }
+
+ fence(); // uncached outputs
+}
+
+void baseConv2D(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out) {
+ const int batches = 1;
+ const int stride_width = options.stride_w;
+ const int stride_height = options.stride_h;
+ const int dilation_width_factor = options.dilation_w_factor;
+ const int dilation_height_factor = options.dilation_h_factor;
+ const int pad_width = options.padding_w;
+ const int pad_height = options.padding_h;
+
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int input_depth = options.input_shape[3];
+ const int32_t input_offset = options.input_offset;
+ const int8_t *input_data = in;
+
+ const int filter_height = options.filter_shape[1];
+ const int filter_width = options.filter_shape[2];
+ const int filter_input_depth = options.filter_shape[3];
+ const int8_t *filter_data = options.filter_data;
+
+ const int32_t *bias_data = options.bias_data;
+
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int output_depth = options.output_shape[3];
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int32_t *output_multiplier = options.output_multiplier;
+ const int32_t *output_shift = options.output_shift;
+ int8_t *output_data = out;
+
+ const int groups = input_depth / filter_input_depth;
+ const int filters_per_group = output_depth / groups;
+
+ assert(groups == 1);
+ assert(pad_width == 0);
+ assert(pad_height == 0);
+
+ for (int batch = 0; batch < batches; ++batch) {
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ const int in_y_origin = (out_y * stride_height) - pad_height;
+ for (int out_x = 0; out_x < output_width; ++out_x) {
+ const int in_x_origin = (out_x * stride_width) - pad_width;
+ for (int out_channel = 0; out_channel < output_depth; ++out_channel) {
+ int32_t acc = 0;
+ for (int filter_y = 0; filter_y < filter_height; ++filter_y) {
+ const int in_y = in_y_origin + dilation_height_factor * filter_y;
+ for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
+ const int in_x = in_x_origin + dilation_width_factor * filter_x;
+ for (int in_channel = 0; in_channel < filter_input_depth; ++in_channel) {
+ int32_t input_val = input_data[(in_y * input_width + in_x) * input_depth + (in_y * kPad2) + in_channel];
+ int32_t filter_val = filter_data[Offset(options.filter_shape, out_channel, filter_y, filter_x, in_channel)];
+ acc += filter_val * (input_val + input_offset);
+ }
+ }
+ }
+
+ if (bias_data) {
+ acc += bias_data[out_channel];
+ }
+ acc = ref::MultiplyByQuantizedMultiplier(acc, output_multiplier[out_channel], output_shift[out_channel]);
+ acc += output_offset;
+ acc = std::max(acc, output_activation_min);
+ acc = std::min(acc, output_activation_max);
+ output_data[Offset(options.output_shape, batch, out_y, out_x, out_channel)] = static_cast<int8_t>(acc);
+ }
+ }
+ }
+ }
+}
+
+// Having pad=1 creates problems we don't want to deal with on the left edge.
+// Keep things simple and create a padded input to simplify kernels.
+const int8_t* Pad(const Conv2DPerChannelOptions& options, const int8_t *in) {
+ const int h = options.input_shape[1]; // height
+ const int w = options.input_shape[2]; // width
+ const int d = options.input_shape[3]; // depth
+
+ // Fill with input_offset negation to make inputs zero.
+ memset(buffer_, -options.input_offset, sizeof(buffer_));
+
+ // Copy line by line.
+ const int line_bytes = w * d;
+ const int line_bytes2p = line_bytes + kPad2;
+ const int8_t *pin = in;
+ int8_t *pout = (buffer_ + kPad) + d + line_bytes2p; // x="1" +y="1"+2pad
+
+ for (int y = 0; y < h; ++y) {
+ memcpy(pout, pin, line_bytes);
+ pin += line_bytes;
+ pout += line_bytes2p;
+ }
+
+ flushall();
+
+ return buffer_ + kPad;
+}
+
+void Conv2D(const Conv2DPerChannelOptions& options, const int8_t *in, int8_t *out) {
+ const int8_t *pad_in = Pad(options, in);
+
+ Conv2DPerChannelOptions pad_options = options;
+ pad_options.padding_w = 0;
+ pad_options.padding_h = 0;
+
+ if (options.input_shape[3] == 1 && options.output_shape[3] == 16) {
+ Conv2D_16_4_4_1(pad_options, pad_in, out);
+ return;
+ }
+ if (options.input_shape[3] == 16 && options.output_shape[3] == 16) {
+ Conv2D_N_4_4_16<16>(pad_options, pad_in, out);
+ return;
+ }
+ if (options.input_shape[3] == 16 && options.output_shape[3] == 48) {
+ Conv2D_N_4_4_16<48>(pad_options, pad_in, out);
+ return;
+ }
+ if (options.input_shape[3] == 48 && options.output_shape[3] == 48) {
+ Conv2D_48_4_4_48(pad_options, pad_in, out);
+ return;
+ }
+
+ baseConv2D(pad_options, pad_in, out);
+}
+
+} // namespace opt
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_fullyconnected.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_fullyconnected.cc
new file mode 100644
index 0000000..9cfbd2d
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_fullyconnected.cc
@@ -0,0 +1,145 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h"
+
+namespace opt {
+
+void Filter(const int zo_lim, const int zi_lim, const int8_t *input,
+ int8_t *output) {
+ // Convert: input [zo][zi] (3360,32)
+ // output [zo.hi=4][zi_hi=840][zo.lo=8][zi_lo=4]
+ const int8_t(&in)[zo_lim][zi_lim] = *(int8_t(*)[zo_lim][zi_lim])input;
+ int8_t(&out)[zo_lim / 8][zi_lim / 4][8][4] =
+ *(int8_t(*)[zo_lim / 8][zi_lim / 4][8][4]) output;
+
+ for (int zo = 0; zo < zo_lim; ++zo) {
+ for (int zi = 0; zi < zi_lim; ++zi) {
+ const int zo_hi = zo >> 3; // div8
+ const int zo_lo = zo & 7; // rem8
+ const int zi_hi = zi >> 2; // div4
+ const int zi_lo = zi & 3; // rem4
+ out[zo_hi][zi_hi][zo_lo][zi_lo] = in[zo][zi];
+ }
+ }
+}
+
+void Swizzle(const int zo_lim, const int32_t *in /*[zo_lim]*/,
+ int32_t *out /*[zo_lim * 4]*/) {
+ // Convert to accumulator swizzle pattern.
+ for (int i = 0; i < zo_lim / 8; ++i) {
+ int32_t *out0 = out + i * 32 + 0;
+ int32_t *out1 = out + i * 32 + 16;
+ int32_t *out2 = out + i * 32 + 8;
+ int32_t *out3 = out + i * 32 + 24;
+ for (int j = 0; j < 4; ++j) {
+ const int32_t *p_in = in + i * 8;
+ for (int k = 0; k < 2; ++k) {
+ *out0++ = *p_in++;
+ *out1++ = *p_in++;
+ *out2++ = *p_in++;
+ *out3++ = *p_in++;
+ }
+ }
+ }
+}
+
+#define INA0 v0
+#define INA1 v1
+#define INA2 v2
+#define INA3 v3
+#define INA4 v4
+#define INA5 v5
+#define INA6 v6
+#define INA7 v7
+#define INB0 v16
+#define INB1 v17
+#define INB2 v18
+#define INB3 v19
+#define INB4 v20
+#define INB5 v21
+#define INB6 v22
+#define INB7 v23
+#define FLTA0 v8
+#define FLTA1 v12
+#define FLTB0 v24
+#define FLTB1 v28
+#define BIAS v32
+#define ACC v48
+#define ACC0 v48
+#define ACC1 v52
+#define OUT0 v56
+#define OUT1 v57
+
+void FullyConnected_zo32(const FullyConnectedOptions &options, const int8_t *in,
+ int8_t *out) {
+ const int32_t input_offset = options.input_offset;
+ const int32_t filter_offset = options.filter_offset;
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_multiplier = options.output_multiplier;
+ const int output_shift = options.output_shift;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int batches = 1;
+ const int output_depth = options.output_shape[1];
+ const int accum_depth = options.filter_shape[1];
+ const int32_t *bias_data = options.bias_data;
+ const int8_t *input_data = in;
+ int8_t *output_data = out;
+
+ const int zo_lim = output_depth;
+ const int zi_lim = accum_depth;
+
+ int32_t bias[zo_lim * 4] __aligned__;
+ Swizzle(zo_lim, options.bias_data, bias);
+
+ int8_t filter_data[zo_lim / 8][zi_lim / 4][8][4] __aligned__;
+ Filter(zo_lim, zi_lim, options.filter_data,
+ mmap_uncached(filter_data[0][0][0]));
+
+ uint32_t cmd;
+ union {
+ vconv_u8_t conv;
+ uint32_t raw;
+ } cmds;
+ cmds.conv.mode = 0;
+ cmds.conv.start = 0;
+ cmds.conv.stop = 7;
+ cmds.conv.sbias1 = input_offset;
+ cmds.conv.sdata1 = true;
+ cmds.conv.sbias2 = filter_offset;
+ cmds.conv.sdata2 = true;
+
+ int8_t *p_out = output_data;
+
+ for (int zo_hi = 0; zo_hi < zo_lim; zo_hi += 8) {
+ const int8_t *p_in = input_data;
+ const int8_t *p_flt = mmap_uncached(filter_data[zo_hi / 8][0][0]);
+
+ vld_w_x_m(BIAS, bias + zo_hi * 4); // TODO
+
+ for (int zi_hi = 0; zi_hi < zi_lim; zi_hi += 32) {
+ vld_b_p_x(INA0, p_in);
+ vld_b_p_x_m(FLTA0, p_flt);
+ vld_b_p_x_m(FLTA1, p_flt);
+ aconv_vxv(ACC, INA0, cmds, FLTA0);
+ }
+
+ vcget(ACC);
+
+ vadd_w_vv_m(ACC0, ACC0, BIAS);
+ vdmulh_w_r_vx_m(ACC0, ACC0, output_multiplier);
+ vsha_w_r_vx_m(ACC0, ACC0, -output_shift);
+ vadd_w_vx_m(ACC0, ACC0, output_offset);
+ vsraqs_b_vx(OUT0, ACC0, 0);
+ vst_b_lp_xx(OUT0, p_out, 8);
+ }
+}
+
+void FullyConnected(const FullyConnectedOptions& options, const int8_t *in, int8_t *out) {
+ if (options.output_shape[1] == 32) {
+ FullyConnected_zo32(options, in, out);
+ return;
+ }
+ ref::FullyConnected(options, in, out);
+}
+
+} // namespace opt
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_maxpool2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_maxpool2d.cc
new file mode 100644
index 0000000..1c69bda
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_maxpool2d.cc
@@ -0,0 +1,80 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h"
+
+namespace opt {
+
+void MaxPool2D_FW2_FH2_SW2_SH2_PW0_PH0(const MaxPool2DOptions& options,
+ const int8_t *in, int8_t *out) {
+ assert(options.filter_h == 2);
+ assert(options.filter_w == 2);
+ assert(options.stride_h == 2);
+ assert(options.stride_w == 2);
+ assert(options.padding_h == 0);
+ assert(options.padding_w == 0);
+ assert(options.quantized_activation_min == -128);
+ assert(options.quantized_activation_max == 127);
+
+ const int depth = options.output_shape[3];
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int stride_height = options.stride_h;
+ const int stride_width = options.stride_w;
+ const int8_t *input_data = in;
+ int8_t *output_data = out;
+
+ int remain = depth;
+ int channel = 0;
+ int vl;
+ while (remain > 0) {
+ getvl_b_x(vl, remain);
+ remain -= vl;
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ const int in_y = (out_y * stride_height);
+
+ const int8_t *in0 = input_data + Offset(options.input_shape, 0, in_y + 0, 0, channel);
+ const int8_t *in1 = input_data + Offset(options.input_shape, 0, in_y + 0, 1, channel);
+ const int8_t *in2 = input_data + Offset(options.input_shape, 0, in_y + 1, 0, channel);
+ const int8_t *in3 = input_data + Offset(options.input_shape, 0, in_y + 1, 1, channel);
+ int8_t *out = output_data + Offset(options.output_shape, 0, out_y, 0, channel);
+
+ for (int out_x = 0; out_x < output_width; ++out_x) {
+ const int in_x = (out_x * stride_width);
+
+ vld_b_l_xx(v0, in0, vl);
+ vld_b_l_xx(v1, in1, vl);
+ vld_b_l_xx(v2, in2, vl);
+ vld_b_l_xx(v3, in3, vl);
+
+ vmax_b_vv(v4, v0, v1);
+ vmax_b_vv(v5, v2, v3);
+ vmax_b_vv(v6, v4, v5);
+
+ vst_b_l_xx(v6, out, vl);
+
+ in0 += depth * stride_width;
+ in1 += depth * stride_width;
+ in2 += depth * stride_width;
+ in3 += depth * stride_width;
+ out += depth;
+ }
+ }
+ channel += vl;
+ }
+}
+
+void MaxPool2D(const MaxPool2DOptions& options, const int8_t *in, int8_t *out) {
+ if (options.quantized_activation_min == -128 &&
+ options.quantized_activation_max == 127 &&
+ options.filter_h == 2 && options.filter_w == 2 &&
+ options.stride_h == 2 && options.stride_w == 2 &&
+ options.padding_h == 0 && options.padding_w == 0) {
+ MaxPool2D_FW2_FH2_SW2_SH2_PW0_PH0(options, in, out);
+ return;
+ }
+
+ ref::MaxPool2D(options, in, out);
+}
+
+} // namespace opt
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_reshape.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_reshape.cc
new file mode 100644
index 0000000..cdbd1fd
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_opt_reshape.cc
@@ -0,0 +1,11 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_reshape.h"
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_opt_util.h"
+
+namespace opt {
+
+void Reshape(const ReshapeOptions& options, const int8_t *in, int8_t *out) {
+ const int len = options.output_shape[1];
+ opt::memcpy(out, in, len);
+}
+
+} // namespace opt
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref.cc
new file mode 100644
index 0000000..a746cf9
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref.cc
@@ -0,0 +1,52 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc.h"
+#include <assert.h>
+#include <stdio.h>
+#include <algorithm>
+#include <limits>
+
+#define OPT
+
+static int count = 0;
+
+namespace ref {
+
+template<typename T>
+T RoundingDivideByPOT(T a, int s) {
+#ifdef OPT
+ return (a + (1 << (s-1))) >> s;
+#else
+ if (a < 0)
+ return (a - (1 << (s - 1))) / (1 << s);
+ else
+ return (a + (1 << (s - 1))) / (1 << s);
+#endif
+}
+
+static int32_t SaturatingRoundingDoublingHighMul(int32_t a, int32_t b) {
+ bool overflow = a == b && a == std::numeric_limits<int32_t>::min();
+ int64_t a_64(a);
+ int64_t b_64(b);
+ int64_t ab_64 = a_64 * b_64;
+#ifdef OPT
+ int64_t nudge = (1ll << 30);
+#else
+ int64_t nudge = ab_64 >= 0 ? (1ll << 30) : (1ll - (1ll << 30));
+#endif
+#ifdef OPT
+ int32_t ab_x2_high32 =
+ static_cast<int32_t>((ab_64 + nudge) >> 31);
+#else
+ int32_t ab_x2_high32 =
+ static_cast<int32_t>((ab_64 + nudge) / (1ll << 31));
+#endif
+ return overflow ? std::numeric_limits<int32_t>::max() : ab_x2_high32;
+}
+
+int32_t MultiplyByQuantizedMultiplier(int32_t x, int32_t quantized_multiplier, int shift) {
+ assert(shift <= 0);
+ int right_shift = -shift;
+ return RoundingDivideByPOT(
+ SaturatingRoundingDoublingHighMul(x, quantized_multiplier), right_shift);
+}
+
+} // namespace ref
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_fullyconnected.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_fullyconnected.cc
new file mode 100644
index 0000000..bbfe967
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_fullyconnected.cc
@@ -0,0 +1,42 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_fullyconnected.h"
+#include <algorithm>
+
+namespace ref {
+
+void FullyConnected(const FullyConnectedOptions& options, const int8_t *in, int8_t *out) {
+ const int32_t input_offset = options.input_offset;
+ const int32_t filter_offset = options.filter_offset;
+ const int32_t output_offset = options.output_offset;
+ const int32_t output_multiplier = options.output_multiplier;
+ const int output_shift = options.output_shift;
+ const int32_t output_activation_min = options.output_activation_min;
+ const int32_t output_activation_max = options.output_activation_max;
+ const int batches = 1;
+ const int output_depth = options.output_shape[1];
+ const int accum_depth = options.filter_shape[1];
+ const int32_t *bias_data = options.bias_data;
+ const int8_t *input_data = in;
+ const int8_t *filter_data = options.filter_data;
+ int8_t *output_data = out;
+
+ for (int b = 0; b < batches; ++b) {
+ for (int out_c = 0; out_c < output_depth; ++out_c) {
+ int32_t acc = 0;
+ for (int d = 0; d < accum_depth; ++d) {
+ int32_t input_val = input_data[b * accum_depth + d];
+ int32_t filter_val = filter_data[out_c * accum_depth + d];
+ acc += (filter_val + filter_offset) * (input_val + input_offset);
+ }
+ if (bias_data) {
+ acc += bias_data[out_c];
+ }
+ acc = MultiplyByQuantizedMultiplier(acc, output_multiplier, output_shift);
+ acc += output_offset;
+ acc = std::max(acc, output_activation_min);
+ acc = std::min(acc, output_activation_max);
+ output_data[out_c + output_depth * b] = static_cast<int8_t>(acc);
+ }
+ }
+}
+
+} // namespace ref
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_logistic.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_logistic.cc
new file mode 100644
index 0000000..830ae4e
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_logistic.cc
@@ -0,0 +1,11 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_logistic.h"
+
+namespace ref {
+
+void Logistic(const LogisticOptions& options, const int8_t *in, int8_t *out) {
+ for (int i = 0; i < options.output_shape[1]; ++i) {
+ out[i] = int8_t(options.table[uint8_t(in[i])]);
+ }
+}
+
+} // namespace ref
diff --git a/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_maxpool2d.cc b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_maxpool2d.cc
new file mode 100644
index 0000000..e71e9f9
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/model/src/tfc_ref_maxpool2d.cc
@@ -0,0 +1,53 @@
+#include "sw/device/tests/kelvin/hps-c-port/model/inc/tfc_maxpool2d.h"
+#include <algorithm>
+#include <limits>
+
+namespace ref {
+
+void MaxPool2D(const MaxPool2DOptions& options, const int8_t *in, int8_t *out) {
+ const int batch = 0;
+ const int depth = options.output_shape[3];
+ const int input_height = options.input_shape[1];
+ const int input_width = options.input_shape[2];
+ const int output_height = options.output_shape[1];
+ const int output_width = options.output_shape[2];
+ const int stride_height = options.stride_h;
+ const int stride_width = options.stride_w;
+ const int8_t *input_data = in;
+ int8_t *output_data = out;
+
+ for (int out_y = 0; out_y < output_height; ++out_y) {
+ for (int out_x = 0; out_x < output_width; ++out_x) {
+ for (int channel = 0; channel < depth; ++channel) {
+ const int in_x_origin =
+ (out_x * stride_width) - options.padding_w;
+ const int in_y_origin =
+ (out_y * stride_height) - options.padding_h;
+ // Compute the boundaries of the filter region clamped so as to
+ // ensure that the filter window fits in the input array.
+ const int filter_x_start = std::max(0, -in_x_origin);
+ const int filter_x_end =
+ std::min(options.filter_w, int32_t(input_width - in_x_origin));
+ const int filter_y_start = std::max(0, -in_y_origin);
+ const int filter_y_end =
+ std::min(options.filter_h, int32_t(input_height - in_y_origin));
+ int8_t max = std::numeric_limits<int8_t>::lowest();
+ for (int filter_y = filter_y_start; filter_y < filter_y_end;
+ ++filter_y) {
+ for (int filter_x = filter_x_start; filter_x < filter_x_end;
+ ++filter_x) {
+ const int in_x = in_x_origin + filter_x;
+ const int in_y = in_y_origin + filter_y;
+ max = std::max(max, input_data[Offset(options.input_shape, batch, in_y, in_x, channel)]);
+ }
+ }
+ max = std::max<int8_t>(max, options.quantized_activation_min);
+ max = std::min<int8_t>(max, options.quantized_activation_max);
+ output_data[Offset(options.output_shape, batch, out_y, out_x, channel)] =
+ static_cast<int8_t>(max);
+ }
+ }
+ }
+}
+
+} // namespace ref
diff --git a/sw/device/tests/kelvin/hps-c-port/sw/init/BUILD b/sw/device/tests/kelvin/hps-c-port/sw/init/BUILD
new file mode 100644
index 0000000..29adeaa
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/sw/init/BUILD
@@ -0,0 +1,10 @@
+# Copyright 2024 Google LLC.
+# Licensed under the Apache License, Version 2.0, see LICENSE for details.
+# SPDX-License-Identifier: Apache-2.0
+
+package(default_visibility = ["//visibility:public"])
+
+filegroup(
+ name = "all_files",
+ srcs = glob(["**"]),
+)
diff --git a/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h b/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h
new file mode 100644
index 0000000..37101d7
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin.h
@@ -0,0 +1,287 @@
+#ifndef KELVIN_H_
+#define KELVIN_H_
+
+#include <math.h>
+#include <stdint.h>
+#include <string.h>
+#include <algorithm>
+
+// TODO(b/331131250): Use the kelvin header from sw/kelvin crt package.
+// And replace printf with '_write' function
+
+// Disable volatile assembly statements so that optimizer may remove unused.
+// #define __volatile__ volatile
+#define __volatile__
+#define __volatile_always__ volatile
+#define __volatile_never__
+
+// Branch taken compiler hint.
+#define likely(x) __builtin_expect (!!(x), 1)
+#define unlikely(x) __builtin_expect (!!(x), 0)
+
+// Helper macros for Intrinsics definitions.
+#define ARGS_F_A(FN, A0) FN " " #A0 "\n\t"
+#define ARGS_F_A_A(FN, A0, A1) FN " " #A0 ", " #A1 "\n\t"
+#define ARGS_F_A_A_A(FN, A0, A1, A2) FN " " #A0 ", " #A1 ", " #A2 "\n\t"
+#define ARGS_F_A_A_A_A(FN, A0, A1, A2, A3) FN " " #A0 ", " #A1 ", " #A2 ", " #A3 "\n\t"
+
+// Command and Status Registers.
+#define csrrw(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrw", %0, b, %1) : "=r"(a) : "r"(c))
+#define csrrs(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrs", %0, b, %1) : "=r"(a) : "r"(c))
+#define csrrc(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrc", %0, b, %1) : "=r"(a) : "r"(c))
+#define csrrwi(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrwi", %0, b, c) : "=r"(a) : )
+#define csrrsi(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrsi", %0, b, c) : "=r"(a) : )
+#define csrrci(a, b, c) __asm__ __volatile_always__(ARGS_F_A_A_A("csrrci", %0, b, c) : "=r"(a) : )
+#define csrr(a, b) __asm__ __volatile_always__(ARGS_F_A_A("csrr", %0, b) : "=r"(a) : )
+#define csrw(a, b) __asm__ __volatile_always__(ARGS_F_A_A("csrw", a, %0) : : "r"(b))
+
+// Cache maintenance.
+#define fence() __asm__ __volatile_always__("fence")
+#define fencei() __asm__ __volatile_always__("fence.i")
+#define prefetch_p(a, b) __asm__ __volatile_always__("prefetch.p %0, %1" : : "r"(a), "r"(b))
+#define prefetch_l(a, b) __asm__ __volatile_always__("prefetch.p %0, %1" : : "r"(a), "r"(b))
+
+// Intrinsics helpers.
+static inline void valign() { asm __volatile_always__(".balign 16"); }
+
+#define vwiden_h_v(a, b) vaddw_h_vx(a, b, 0);
+#define vwiden_w_v(a, b) vaddw_w_vx(a, b, 0);
+#define vwiden_h_u_v(a, b) vaddw_h_u_vx(a, b, 0);
+#define vwiden_w_u_v(a, b) vaddw_w_u_vx(a, b, 0);
+
+#define nop() __asm__ __volatile_always__("nop");
+#define ebreak() __asm__ __volatile_always__("ebreak");
+#define ecall() __asm__ __volatile_always__("ecall");
+#define mret() __asm__ __volatile_always__("mret");
+
+#include "sw/device/tests/kelvin/hps-c-port/sw/init/kelvin_intrinsics.h"
+
+#define vm0 v0
+#define vm1 v4
+#define vm2 v8
+#define vm3 v12
+#define vm4 v16
+#define vm5 v20
+#define vm6 v24
+#define vm7 v28
+#define vm8 v32
+#define vm9 v36
+#define vm10 v40
+#define vm11 v44
+#define vm12 v48
+#define vm13 v52
+#define vm14 v56
+#define vm15 v60
+
+#define static_assert_offset(TYPE, FIELD, OFFSET) \
+ static_assert(__builtin_offsetof(TYPE, FIELD) == OFFSET, "invalid offset")
+
+struct vconv_u8_t {
+ uint32_t mode:2; // 1:0
+ uint32_t start:5; // 6:2
+ uint32_t stop:5; // 11:7
+ int32_t sbias1:9; // 20:12
+ uint32_t sdata1:1; // 21
+ int32_t sbias2:9; // 30:22
+ uint32_t sdata2:1; // 31
+};
+static_assert(sizeof(vconv_u8_t) == 4);
+
+static int32_t float_as_int(const float f) {
+ union {
+ int32_t i;
+ float f;
+ } c;
+ c.f = f;
+ return c.i;
+}
+
+static float int_as_float(const int32_t i) {
+ union {
+ int32_t i;
+ float f;
+ } c;
+ c.i = i;
+ return c.f;
+}
+
+#define f2i float_as_int
+#define i2f int_as_float
+
+#define printf_fmt(a) flog(a)
+
+template <typename T>
+static inline void printf_arg(const T arg) {
+ if (std::is_same<T, float>::value) {
+ slog(arg);
+ } else if (std::is_same<T, const uint8_t*>::value ||
+ std::is_same<T, const char*>::value) {
+ klog(arg);
+ } else if (std::is_same<T, uint8_t*>::value ||
+ std::is_same<T, char*>::value) {
+# define haszero(v) (((v) - 0x01010101UL) & ~(v) & 0x80808080UL)
+ const uint32_t *p_str = (const uint32_t*) (uint32_t) arg;
+ uint32_t data = 0;
+ int pos = 0;
+ do {
+ data = *p_str;
+ p_str++;
+ clog(data);
+ } while (!haszero(data));
+ } else {
+ slog(arg);
+ }
+}
+
+extern "C" inline int printf(const char *format, ...) {
+ printf_fmt(format);
+ return 0;
+}
+
+template <typename T1>
+static inline void printf(const char *format, const T1 arg1) {
+ printf_arg(arg1);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3, typename T4>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3, const T4 arg4) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_arg(arg4);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3, typename T4, typename T5>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3, const T4 arg4, const T5 arg5) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_arg(arg4);
+ printf_arg(arg5);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3, typename T4, typename T5, typename T6>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3, const T4 arg4, const T5 arg5,
+ const T6 arg6) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_arg(arg4);
+ printf_arg(arg5);
+ printf_arg(arg6);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3, const T4 arg4, const T5 arg5,
+ const T6 arg6, const T7 arg7) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_arg(arg4);
+ printf_arg(arg5);
+ printf_arg(arg6);
+ printf_arg(arg7);
+ printf_fmt(format);
+}
+
+template <typename T1, typename T2, typename T3, typename T4, typename T5, typename T6, typename T7, typename T8>
+static inline void printf(const char *format, const T1 arg1, const T2 arg2,
+ const T3 arg3, const T4 arg4, const T5 arg5,
+ const T6 arg6, const T7 arg7, const T8 arg8) {
+ printf_arg(arg1);
+ printf_arg(arg2);
+ printf_arg(arg3);
+ printf_arg(arg4);
+ printf_arg(arg5);
+ printf_arg(arg6);
+ printf_arg(arg7);
+ printf_arg(arg8);
+ printf_fmt(format);
+}
+
+#define vdump_b(vreg, str) \
+{ \
+ int n; \
+ getmaxvl_b(n); \
+ uint8_t tmp[n]; \
+ vst_b_x(vreg, tmp); \
+ printf("<%s>", str); \
+ for (int i = 0; i < n; ++i) { \
+ printf(" %02x", uint8_t(tmp[i])); \
+ } \
+ printf("\n"); \
+}
+
+#define vdump_h(vreg, str) \
+{ \
+ int n; \
+ getmaxvl_h(n); \
+ uint16_t tmp[n]; \
+ vst_h_x(vreg, tmp); \
+ printf("<%s>", str); \
+ for (int i = 0; i < n; ++i) { \
+ printf(" %04x", uint16_t(tmp[i])); \
+ } \
+ printf("\n"); \
+}
+
+#define vdump_w(vreg, str) \
+{ \
+ int n; \
+ getmaxvl_w(n); \
+ uint32_t tmp[n]; \
+ vst_w_x(vreg, tmp); \
+ printf("<%s>", str); \
+ for (int i = 0; i < n; ++i) { \
+ printf(" %08x", uint32_t(tmp[i])); \
+ } \
+ printf("\n"); \
+}
+
+#define vprint_b(a, b) vdump_b(a, b)
+#define vprint_h(a, b) vdump_h(a, b)
+#define vprint_w(a, b) vdump_w(a, b)
+
+static void assert(bool v, const char* s = "") {
+ if (v) return;
+ printf("**assert[%s]\n", s);
+ exit(-1);
+}
+
+template<typename T>
+static T* mmap_uncached(T* ptr) {
+ return (T*) (uint32_t(ptr) | 0x80000000);
+}
+
+#define __aligned__ __attribute__ ((aligned(64)))
+#define __noinit__ __attribute__ ((section(".noinit")))
+
+extern "C" void *malloc(size_t size);
+
+extern "C" void free(void *ptr);
+
+#endif // KELVIN_H_
diff --git a/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin_intrinsics.h b/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin_intrinsics.h
new file mode 100644
index 0000000..ca23f90
--- /dev/null
+++ b/sw/device/tests/kelvin/hps-c-port/sw/init/kelvin_intrinsics.h
@@ -0,0 +1,1216 @@
+// Copyright 2023 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// clang-format off
+
+// Kelvin instruction intrinsics
+
+#ifndef SW_DEVICE_TESTS_KELVIN_HPS_C_PORT_SW_INIT_KELVIN_INTRINSICS_H_
+#define SW_DEVICE_TESTS_KELVIN_HPS_C_PORT_SW_INIT_KELVIN_INTRINSICS_H_
+
+#define eexit() __asm__ __volatile_always__("eexit");
+#define eyield() __asm__ __volatile_always__("eyield");
+#define ectxsw() __asm__ __volatile_always__("ectxsw");
+#define mpause() __asm__ __volatile_always__("mpause");
+
+#define flog(s) __asm__ __volatile_always__(ARGS_F_A("flog", %0) : : "r"(s))
+#define slog(s) __asm__ __volatile_always__(ARGS_F_A("slog", %0) : : "r"(s))
+#define clog(s) __asm__ __volatile_always__(ARGS_F_A("clog", %0) : : "r"(s))
+#define klog(s) __asm__ __volatile_always__(ARGS_F_A("klog", %0) : : "r"(s))
+
+#define flushall() __asm__ __volatile__("flushall");
+#define flushat(s) __asm__ __volatile__(ARGS_F_A("flushat", %0) : : "r"(s))
+
+#define getmaxvl_b(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.b", %0) : "=r"(d) : )
+#define getmaxvl_h(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.h", %0) : "=r"(d) : )
+#define getmaxvl_w(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.w", %0) : "=r"(d) : )
+#define getvl_b_x(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.b.x", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_h_x(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.h.x", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_w_x(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.w.x", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_b_xx(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.b.xx", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+#define getvl_h_xx(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.h.xx", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+#define getvl_w_xx(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.w.xx", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+
+#define getmaxvl_b_m(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.b.m", %0) : "=r"(d) : )
+#define getmaxvl_h_m(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.h.m", %0) : "=r"(d) : )
+#define getmaxvl_w_m(d) __asm__ __volatile__(ARGS_F_A("getmaxvl.w.m", %0) : "=r"(d) : )
+#define getvl_b_x_m(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.b.x.m", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_h_x_m(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.h.x.m", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_w_x_m(d, s) __asm__ __volatile__(ARGS_F_A_A("getvl.w.x.m", %0, %1) : "=r"(d) : "r"(s))
+#define getvl_b_xx_m(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.b.xx.m", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+#define getvl_h_xx_m(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.h.xx.m", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+#define getvl_w_xx_m(d, s, t) __asm__ __volatile__(ARGS_F_A_A_A("getvl.w.xx.m", %0, %1, %2) : "=r"(d) : "r"(s), "r"(t))
+
+// 111 Load/Store
+#define vld_b_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.b.x", Vd, %0) : : "r"(s) : "memory")
+#define vld_b_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.b.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_b_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_b_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_b_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.b.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vld_b_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.b.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_b_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_b_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_b_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_b_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.b.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.h.x", Vd, %0) : : "r"(s) : "memory")
+#define vld_h_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.h.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_h_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_h_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_h_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.h.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vld_h_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.h.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_h_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_h_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_h_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_h_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.h.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.w.x", Vd, %0) : : "r"(s) : "memory")
+#define vld_w_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.w.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_w_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_w_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_w_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.w.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vld_w_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vld.w.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vld_w_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_w_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vld_w_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vld_w_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vld.w.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.b.x", Vd, %0) : : "r"(s) : "memory")
+#define vst_b_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.b.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_b_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_b_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_b_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.b.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vst_b_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.b.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_b_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_b_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_b_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_b_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.b.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.h.x", Vd, %0) : : "r"(s) : "memory")
+#define vst_h_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.h.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_h_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_h_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_h_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.h.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vst_h_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.h.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_h_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_h_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_h_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_h_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.h.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.w.x", Vd, %0) : : "r"(s) : "memory")
+#define vst_w_p_x(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.w.p.x", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_w_l_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.l.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_w_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_w_p_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.p.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_lp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.lp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_tp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.tp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.w.x.m", Vd, %0) : : "r"(s) : "memory")
+#define vst_w_p_x_m(Vd, s) __asm__ __volatile_always__(ARGS_F_A_A("vst.w.p.x.m", Vd, %0) : "=r"(s) : "0"(s) : "memory")
+#define vst_w_l_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.l.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_w_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vst_w_p_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.p.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_lp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.lp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vst_w_tp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vst.w.tp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vdup_b_x(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.b.x", Vd, %0) : : "r"(t))
+#define vdup_b_x_m(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.b.x.m", Vd, %0) : : "r"(t))
+#define vdup_h_x(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.h.x", Vd, %0) : : "r"(t))
+#define vdup_h_x_m(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.h.x.m", Vd, %0) : : "r"(t))
+#define vdup_w_x(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.w.x", Vd, %0) : : "r"(t))
+#define vdup_w_x_m(Vd, t) __asm__ __volatile__(ARGS_F_A_A("vdup.w.x.m", Vd, %0) : : "r"(t))
+#define vcget(Vd) __asm__ __volatile__(ARGS_F_A("vcget", Vd) : : )
+#define vstq_b_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.b.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_b_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.b.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vstq_b_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.b.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_b_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.b.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vstq_h_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.h.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_h_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.h.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vstq_h_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.h.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_h_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.h.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vstq_w_s_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.w.s.xx", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_w_sp_xx(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.w.sp.xx", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+#define vstq_w_s_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.w.s.xx.m", Vd, %0, %1) : : "r"(s), "r"(t) : "memory")
+#define vstq_w_sp_xx_m(Vd, s, t) __asm__ __volatile_always__(ARGS_F_A_A_A("vstq.w.sp.xx.m", Vd, %0, %1) : "=r"(s) : "r"(t), "0"(s) : "memory")
+
+// 000 Arithmetic
+#define vadd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.b.vv", Vd, Vs, Vt))
+#define vadd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.b.vv.m", Vd, Vs, Vt))
+#define vadd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.h.vv", Vd, Vs, Vt))
+#define vadd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.h.vv.m", Vd, Vs, Vt))
+#define vadd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.w.vv", Vd, Vs, Vt))
+#define vadd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd.w.vv.m", Vd, Vs, Vt))
+#define vadd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsub_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.b.vv", Vd, Vs, Vt))
+#define vsub_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsub_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.b.vv.m", Vd, Vs, Vt))
+#define vsub_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsub_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.h.vv", Vd, Vs, Vt))
+#define vsub_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsub_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.h.vv.m", Vd, Vs, Vt))
+#define vsub_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsub_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.w.vv", Vd, Vs, Vt))
+#define vsub_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsub_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsub.w.vv.m", Vd, Vs, Vt))
+#define vsub_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsub.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vrsub_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vrsub_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vrsub_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vrsub_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vrsub_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vrsub_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrsub.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define veq_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.b.vv", Vd, Vs, Vt))
+#define veq_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.b.vx", Vd, Vs, %0) : : "r"(t))
+#define veq_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.b.vv.m", Vd, Vs, Vt))
+#define veq_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define veq_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.h.vv", Vd, Vs, Vt))
+#define veq_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.h.vx", Vd, Vs, %0) : : "r"(t))
+#define veq_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.h.vv.m", Vd, Vs, Vt))
+#define veq_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define veq_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.w.vv", Vd, Vs, Vt))
+#define veq_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.w.vx", Vd, Vs, %0) : : "r"(t))
+#define veq_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("veq.w.vv.m", Vd, Vs, Vt))
+#define veq_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("veq.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vne_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.b.vv", Vd, Vs, Vt))
+#define vne_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vne_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.b.vv.m", Vd, Vs, Vt))
+#define vne_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vne_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.h.vv", Vd, Vs, Vt))
+#define vne_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vne_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.h.vv.m", Vd, Vs, Vt))
+#define vne_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vne_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.w.vv", Vd, Vs, Vt))
+#define vne_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vne_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vne.w.vv.m", Vd, Vs, Vt))
+#define vne_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vne.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.vv", Vd, Vs, Vt))
+#define vlt_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.u.vv", Vd, Vs, Vt))
+#define vlt_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.vv.m", Vd, Vs, Vt))
+#define vlt_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.u.vv.m", Vd, Vs, Vt))
+#define vlt_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.vv", Vd, Vs, Vt))
+#define vlt_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.u.vv", Vd, Vs, Vt))
+#define vlt_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.vv.m", Vd, Vs, Vt))
+#define vlt_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.u.vv.m", Vd, Vs, Vt))
+#define vlt_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.vv", Vd, Vs, Vt))
+#define vlt_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.u.vv", Vd, Vs, Vt))
+#define vlt_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vlt_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.vv.m", Vd, Vs, Vt))
+#define vlt_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vlt_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.u.vv.m", Vd, Vs, Vt))
+#define vlt_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vlt.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.vv", Vd, Vs, Vt))
+#define vle_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.u.vv", Vd, Vs, Vt))
+#define vle_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.vv.m", Vd, Vs, Vt))
+#define vle_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.u.vv.m", Vd, Vs, Vt))
+#define vle_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.vv", Vd, Vs, Vt))
+#define vle_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.u.vv", Vd, Vs, Vt))
+#define vle_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.vv.m", Vd, Vs, Vt))
+#define vle_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.u.vv.m", Vd, Vs, Vt))
+#define vle_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.vv", Vd, Vs, Vt))
+#define vle_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.u.vv", Vd, Vs, Vt))
+#define vle_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vle_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.vv.m", Vd, Vs, Vt))
+#define vle_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vle_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.u.vv.m", Vd, Vs, Vt))
+#define vle_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vle.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.vv", Vd, Vs, Vt))
+#define vgt_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.u.vv", Vd, Vs, Vt))
+#define vgt_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.vv.m", Vd, Vs, Vt))
+#define vgt_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.u.vv.m", Vd, Vs, Vt))
+#define vgt_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.vv", Vd, Vs, Vt))
+#define vgt_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.u.vv", Vd, Vs, Vt))
+#define vgt_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.vv.m", Vd, Vs, Vt))
+#define vgt_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.u.vv.m", Vd, Vs, Vt))
+#define vgt_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.vv", Vd, Vs, Vt))
+#define vgt_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.u.vv", Vd, Vs, Vt))
+#define vgt_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vgt_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.vv.m", Vd, Vs, Vt))
+#define vgt_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vgt_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.u.vv.m", Vd, Vs, Vt))
+#define vgt_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vgt.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.vv", Vd, Vs, Vt))
+#define vge_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.u.vv", Vd, Vs, Vt))
+#define vge_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.vv.m", Vd, Vs, Vt))
+#define vge_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.u.vv.m", Vd, Vs, Vt))
+#define vge_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.vv", Vd, Vs, Vt))
+#define vge_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.u.vv", Vd, Vs, Vt))
+#define vge_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.vv.m", Vd, Vs, Vt))
+#define vge_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.u.vv.m", Vd, Vs, Vt))
+#define vge_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.vv", Vd, Vs, Vt))
+#define vge_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.u.vv", Vd, Vs, Vt))
+#define vge_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vge_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.vv.m", Vd, Vs, Vt))
+#define vge_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vge_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.u.vv.m", Vd, Vs, Vt))
+#define vge_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vge.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.vv", Vd, Vs, Vt))
+#define vabsd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.u.vv", Vd, Vs, Vt))
+#define vabsd_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.vv.m", Vd, Vs, Vt))
+#define vabsd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.u.vv.m", Vd, Vs, Vt))
+#define vabsd_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.vv", Vd, Vs, Vt))
+#define vabsd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.u.vv", Vd, Vs, Vt))
+#define vabsd_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.vv.m", Vd, Vs, Vt))
+#define vabsd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.u.vv.m", Vd, Vs, Vt))
+#define vabsd_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.vv", Vd, Vs, Vt))
+#define vabsd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.u.vv", Vd, Vs, Vt))
+#define vabsd_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vabsd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.vv.m", Vd, Vs, Vt))
+#define vabsd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vabsd_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.u.vv.m", Vd, Vs, Vt))
+#define vabsd_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vabsd.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.vv", Vd, Vs, Vt))
+#define vmax_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.u.vv", Vd, Vs, Vt))
+#define vmax_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.vv.m", Vd, Vs, Vt))
+#define vmax_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.u.vv.m", Vd, Vs, Vt))
+#define vmax_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.vv", Vd, Vs, Vt))
+#define vmax_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.u.vv", Vd, Vs, Vt))
+#define vmax_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.vv.m", Vd, Vs, Vt))
+#define vmax_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.u.vv.m", Vd, Vs, Vt))
+#define vmax_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.vv", Vd, Vs, Vt))
+#define vmax_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.u.vv", Vd, Vs, Vt))
+#define vmax_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmax_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.vv.m", Vd, Vs, Vt))
+#define vmax_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmax_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.u.vv.m", Vd, Vs, Vt))
+#define vmax_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmax.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.vv", Vd, Vs, Vt))
+#define vmin_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.u.vv", Vd, Vs, Vt))
+#define vmin_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.vv.m", Vd, Vs, Vt))
+#define vmin_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.u.vv.m", Vd, Vs, Vt))
+#define vmin_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.vv", Vd, Vs, Vt))
+#define vmin_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.u.vv", Vd, Vs, Vt))
+#define vmin_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.vv.m", Vd, Vs, Vt))
+#define vmin_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.u.vv.m", Vd, Vs, Vt))
+#define vmin_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.vv", Vd, Vs, Vt))
+#define vmin_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.u.vv", Vd, Vs, Vt))
+#define vmin_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmin_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.vv.m", Vd, Vs, Vt))
+#define vmin_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmin_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.u.vv.m", Vd, Vs, Vt))
+#define vmin_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmin.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadd3_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.b.vv", Vd, Vs, Vt))
+#define vadd3_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd3_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.b.vv.m", Vd, Vs, Vt))
+#define vadd3_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadd3_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.h.vv", Vd, Vs, Vt))
+#define vadd3_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd3_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.h.vv.m", Vd, Vs, Vt))
+#define vadd3_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadd3_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.w.vv", Vd, Vs, Vt))
+#define vadd3_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vadd3_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.w.vv.m", Vd, Vs, Vt))
+#define vadd3_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadd3.w.vx.m", Vd, Vs, %0) : : "r"(t))
+
+// 100 Arithmetic2
+#define vadds_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.vv", Vd, Vs, Vt))
+#define vadds_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.u.vv", Vd, Vs, Vt))
+#define vadds_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.vv.m", Vd, Vs, Vt))
+#define vadds_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadds_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.u.vv.m", Vd, Vs, Vt))
+#define vadds_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadds_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.vv", Vd, Vs, Vt))
+#define vadds_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.u.vv", Vd, Vs, Vt))
+#define vadds_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.vv.m", Vd, Vs, Vt))
+#define vadds_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadds_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.u.vv.m", Vd, Vs, Vt))
+#define vadds_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadds_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.vv", Vd, Vs, Vt))
+#define vadds_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.u.vv", Vd, Vs, Vt))
+#define vadds_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vadds_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.vv.m", Vd, Vs, Vt))
+#define vadds_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vadds_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.u.vv.m", Vd, Vs, Vt))
+#define vadds_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vadds.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.vv", Vd, Vs, Vt))
+#define vsubs_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.u.vv", Vd, Vs, Vt))
+#define vsubs_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.vv.m", Vd, Vs, Vt))
+#define vsubs_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.u.vv.m", Vd, Vs, Vt))
+#define vsubs_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.vv", Vd, Vs, Vt))
+#define vsubs_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.u.vv", Vd, Vs, Vt))
+#define vsubs_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.vv.m", Vd, Vs, Vt))
+#define vsubs_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.u.vv.m", Vd, Vs, Vt))
+#define vsubs_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.vv", Vd, Vs, Vt))
+#define vsubs_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.u.vv", Vd, Vs, Vt))
+#define vsubs_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubs_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.vv.m", Vd, Vs, Vt))
+#define vsubs_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubs_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.u.vv.m", Vd, Vs, Vt))
+#define vsubs_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubs.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vaddw_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.vv", Vd, Vs, Vt))
+#define vaddw_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vaddw_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.u.vv", Vd, Vs, Vt))
+#define vaddw_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vaddw_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.vv.m", Vd, Vs, Vt))
+#define vaddw_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vaddw_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.u.vv.m", Vd, Vs, Vt))
+#define vaddw_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vaddw_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.vv", Vd, Vs, Vt))
+#define vaddw_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vaddw_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.u.vv", Vd, Vs, Vt))
+#define vaddw_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vaddw_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.vv.m", Vd, Vs, Vt))
+#define vaddw_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vaddw_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.u.vv.m", Vd, Vs, Vt))
+#define vaddw_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vaddw.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubw_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.vv", Vd, Vs, Vt))
+#define vsubw_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubw_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.u.vv", Vd, Vs, Vt))
+#define vsubw_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubw_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.vv.m", Vd, Vs, Vt))
+#define vsubw_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubw_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.u.vv.m", Vd, Vs, Vt))
+#define vsubw_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubw_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.vv", Vd, Vs, Vt))
+#define vsubw_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubw_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.u.vv", Vd, Vs, Vt))
+#define vsubw_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vsubw_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.vv.m", Vd, Vs, Vt))
+#define vsubw_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsubw_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.u.vv.m", Vd, Vs, Vt))
+#define vsubw_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsubw.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vacc_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.vv", Vd, Vs, Vt))
+#define vacc_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vacc_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.u.vv", Vd, Vs, Vt))
+#define vacc_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vacc_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.vv.m", Vd, Vs, Vt))
+#define vacc_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vacc_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.u.vv.m", Vd, Vs, Vt))
+#define vacc_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vacc_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.vv", Vd, Vs, Vt))
+#define vacc_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vacc_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.u.vv", Vd, Vs, Vt))
+#define vacc_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vacc_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.vv.m", Vd, Vs, Vt))
+#define vacc_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vacc_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.u.vv.m", Vd, Vs, Vt))
+#define vacc_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vacc.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vpadd_h_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.h.v", Vd, Vs))
+#define vpadd_h_u_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.h.u.v", Vd, Vs))
+#define vpadd_h_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.h.v.m", Vd, Vs))
+#define vpadd_h_u_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.h.u.v.m", Vd, Vs))
+#define vpadd_w_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.w.v", Vd, Vs))
+#define vpadd_w_u_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.w.u.v", Vd, Vs))
+#define vpadd_w_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.w.v.m", Vd, Vs))
+#define vpadd_w_u_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpadd.w.u.v.m", Vd, Vs))
+#define vpsub_h_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.h.v", Vd, Vs))
+#define vpsub_h_u_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.h.u.v", Vd, Vs))
+#define vpsub_h_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.h.v.m", Vd, Vs))
+#define vpsub_h_u_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.h.u.v.m", Vd, Vs))
+#define vpsub_w_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.w.v", Vd, Vs))
+#define vpsub_w_u_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.w.u.v", Vd, Vs))
+#define vpsub_w_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.w.v.m", Vd, Vs))
+#define vpsub_w_u_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vpsub.w.u.v.m", Vd, Vs))
+#define vhadd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.vv", Vd, Vs, Vt))
+#define vhadd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.r.vv", Vd, Vs, Vt))
+#define vhadd_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.u.vv", Vd, Vs, Vt))
+#define vhadd_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.ur.vv", Vd, Vs, Vt))
+#define vhadd_b_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.vv.m", Vd, Vs, Vt))
+#define vhadd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.r.vv.m", Vd, Vs, Vt))
+#define vhadd_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.u.vv.m", Vd, Vs, Vt))
+#define vhadd_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_b_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.ur.vv.m", Vd, Vs, Vt))
+#define vhadd_b_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.b.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.vv", Vd, Vs, Vt))
+#define vhadd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.r.vv", Vd, Vs, Vt))
+#define vhadd_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.u.vv", Vd, Vs, Vt))
+#define vhadd_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.ur.vv", Vd, Vs, Vt))
+#define vhadd_h_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.vv.m", Vd, Vs, Vt))
+#define vhadd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.r.vv.m", Vd, Vs, Vt))
+#define vhadd_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.u.vv.m", Vd, Vs, Vt))
+#define vhadd_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_h_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.ur.vv.m", Vd, Vs, Vt))
+#define vhadd_h_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.h.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.vv", Vd, Vs, Vt))
+#define vhadd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.r.vv", Vd, Vs, Vt))
+#define vhadd_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.u.vv", Vd, Vs, Vt))
+#define vhadd_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.ur.vv", Vd, Vs, Vt))
+#define vhadd_w_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.vv.m", Vd, Vs, Vt))
+#define vhadd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.r.vv.m", Vd, Vs, Vt))
+#define vhadd_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.u.vv.m", Vd, Vs, Vt))
+#define vhadd_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhadd_w_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.ur.vv.m", Vd, Vs, Vt))
+#define vhadd_w_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhadd.w.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.vv", Vd, Vs, Vt))
+#define vhsub_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.r.vv", Vd, Vs, Vt))
+#define vhsub_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.u.vv", Vd, Vs, Vt))
+#define vhsub_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.ur.vv", Vd, Vs, Vt))
+#define vhsub_b_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.vv.m", Vd, Vs, Vt))
+#define vhsub_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.r.vv.m", Vd, Vs, Vt))
+#define vhsub_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.u.vv.m", Vd, Vs, Vt))
+#define vhsub_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_b_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.ur.vv.m", Vd, Vs, Vt))
+#define vhsub_b_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.b.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.vv", Vd, Vs, Vt))
+#define vhsub_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.r.vv", Vd, Vs, Vt))
+#define vhsub_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.u.vv", Vd, Vs, Vt))
+#define vhsub_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.ur.vv", Vd, Vs, Vt))
+#define vhsub_h_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.vv.m", Vd, Vs, Vt))
+#define vhsub_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.r.vv.m", Vd, Vs, Vt))
+#define vhsub_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.u.vv.m", Vd, Vs, Vt))
+#define vhsub_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_h_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.ur.vv.m", Vd, Vs, Vt))
+#define vhsub_h_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.h.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.vv", Vd, Vs, Vt))
+#define vhsub_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.r.vv", Vd, Vs, Vt))
+#define vhsub_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.u.vv", Vd, Vs, Vt))
+#define vhsub_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_ur_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.ur.vv", Vd, Vs, Vt))
+#define vhsub_w_ur_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.ur.vx", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.vv.m", Vd, Vs, Vt))
+#define vhsub_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.r.vv.m", Vd, Vs, Vt))
+#define vhsub_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.u.vv.m", Vd, Vs, Vt))
+#define vhsub_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vhsub_w_ur_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.ur.vv.m", Vd, Vs, Vt))
+#define vhsub_w_ur_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vhsub.w.ur.vx.m", Vd, Vs, %0) : : "r"(t))
+
+// 001 Logical
+#define vand_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vand.vv", Vd, Vs, Vt))
+#define vand_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vand_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vand.vv.m", Vd, Vs, Vt))
+#define vand_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vand_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vand_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vand_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vand_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vand.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vor_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vor.vv", Vd, Vs, Vt))
+#define vor_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vor_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vor.vv.m", Vd, Vs, Vt))
+#define vor_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vor_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vor_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vor_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vor_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vor.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vxor_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vxor.vv", Vd, Vs, Vt))
+#define vxor_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vxor_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vxor.vv.m", Vd, Vs, Vt))
+#define vxor_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vxor_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vxor_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vxor_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vxor_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vxor.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vnot_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vnot.v", Vd, Vs))
+#define vnot_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vnot.v.m", Vd, Vs))
+#define vrev_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.b.vv", Vd, Vs, Vt))
+#define vrev_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vrev_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.b.vv.m", Vd, Vs, Vt))
+#define vrev_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vrev_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.h.vv", Vd, Vs, Vt))
+#define vrev_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vrev_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.h.vv.m", Vd, Vs, Vt))
+#define vrev_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vrev_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.w.vv", Vd, Vs, Vt))
+#define vrev_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vrev_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vrev.w.vv.m", Vd, Vs, Vt))
+#define vrev_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vrev.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vror_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.b.vv", Vd, Vs, Vt))
+#define vror_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vror_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.b.vv.m", Vd, Vs, Vt))
+#define vror_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vror_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.h.vv", Vd, Vs, Vt))
+#define vror_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vror_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.h.vv.m", Vd, Vs, Vt))
+#define vror_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vror_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.w.vv", Vd, Vs, Vt))
+#define vror_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vror_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vror.w.vv.m", Vd, Vs, Vt))
+#define vror_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vror.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vclb_b_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.b.v", Vd, Vs))
+#define vclb_b_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.b.v.m", Vd, Vs))
+#define vclb_h_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.h.v", Vd, Vs))
+#define vclb_h_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.h.v.m", Vd, Vs))
+#define vclb_w_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.w.v", Vd, Vs))
+#define vclb_w_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclb.w.v.m", Vd, Vs))
+#define vclz_b_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.b.v", Vd, Vs))
+#define vclz_b_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.b.v.m", Vd, Vs))
+#define vclz_h_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.h.v", Vd, Vs))
+#define vclz_h_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.h.v.m", Vd, Vs))
+#define vclz_w_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.w.v", Vd, Vs))
+#define vclz_w_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vclz.w.v.m", Vd, Vs))
+#define vcpop_b_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.b.v", Vd, Vs))
+#define vcpop_b_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.b.v.m", Vd, Vs))
+#define vcpop_h_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.h.v", Vd, Vs))
+#define vcpop_h_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.h.v.m", Vd, Vs))
+#define vcpop_w_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.w.v", Vd, Vs))
+#define vcpop_w_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vcpop.w.v.m", Vd, Vs))
+#define vmv_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vmv.v", Vd, Vs))
+#define vmv_v_m(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("vmv.v.m", Vd, Vs))
+#define vmvp_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.vv", Vd, Vs, Vt))
+#define vmvp_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmvp_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.vv.m", Vd, Vs, Vt))
+#define vmvp_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmvp_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmvp_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmvp_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmvp_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmvp.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define acset_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("acset.v", Vd, Vs))
+#define actr_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("actr.v", Vd, Vs))
+#define adwinit_v(Vd, Vs) __asm__ __volatile__(ARGS_F_A_A("adwinit.v", Vd, Vs))
+
+// 010 Shift
+#define vsll_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.b.vv", Vd, Vs, Vt))
+#define vsll_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsll_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.b.vv.m", Vd, Vs, Vt))
+#define vsll_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsll_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.h.vv", Vd, Vs, Vt))
+#define vsll_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsll_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.h.vv.m", Vd, Vs, Vt))
+#define vsll_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsll_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.w.vv", Vd, Vs, Vt))
+#define vsll_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsll_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsll.w.vv.m", Vd, Vs, Vt))
+#define vsll_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsll.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsra_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.b.vv", Vd, Vs, Vt))
+#define vsra_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsra_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.b.vv.m", Vd, Vs, Vt))
+#define vsra_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsra_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.h.vv", Vd, Vs, Vt))
+#define vsra_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsra_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.h.vv.m", Vd, Vs, Vt))
+#define vsra_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsra_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.w.vv", Vd, Vs, Vt))
+#define vsra_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsra_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsra.w.vv.m", Vd, Vs, Vt))
+#define vsra_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsra.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrl_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.b.vv", Vd, Vs, Vt))
+#define vsrl_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrl_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.b.vv.m", Vd, Vs, Vt))
+#define vsrl_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrl_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.h.vv", Vd, Vs, Vt))
+#define vsrl_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrl_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.h.vv.m", Vd, Vs, Vt))
+#define vsrl_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrl_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.w.vv", Vd, Vs, Vt))
+#define vsrl_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrl_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.w.vv.m", Vd, Vs, Vt))
+#define vsrl_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrl.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.vv", Vd, Vs, Vt))
+#define vsha_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.r.vv", Vd, Vs, Vt))
+#define vsha_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.vv.m", Vd, Vs, Vt))
+#define vsha_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.r.vv.m", Vd, Vs, Vt))
+#define vsha_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.vv", Vd, Vs, Vt))
+#define vsha_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.r.vv", Vd, Vs, Vt))
+#define vsha_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.vv.m", Vd, Vs, Vt))
+#define vsha_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.r.vv.m", Vd, Vs, Vt))
+#define vsha_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.vv", Vd, Vs, Vt))
+#define vsha_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.r.vv", Vd, Vs, Vt))
+#define vsha_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsha_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.vv.m", Vd, Vs, Vt))
+#define vsha_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsha_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.r.vv.m", Vd, Vs, Vt))
+#define vsha_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsha.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.vv", Vd, Vs, Vt))
+#define vshl_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.r.vv", Vd, Vs, Vt))
+#define vshl_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.vv.m", Vd, Vs, Vt))
+#define vshl_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.r.vv.m", Vd, Vs, Vt))
+#define vshl_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.vv", Vd, Vs, Vt))
+#define vshl_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.r.vv", Vd, Vs, Vt))
+#define vshl_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.vv.m", Vd, Vs, Vt))
+#define vshl_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.r.vv.m", Vd, Vs, Vt))
+#define vshl_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.vv", Vd, Vs, Vt))
+#define vshl_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.r.vv", Vd, Vs, Vt))
+#define vshl_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vshl_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.vv.m", Vd, Vs, Vt))
+#define vshl_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vshl_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.r.vv.m", Vd, Vs, Vt))
+#define vshl_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vshl.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrans_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.vv", Vd, Vs, Vt))
+#define vsrans_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrans_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.r.vv", Vd, Vs, Vt))
+#define vsrans_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrans_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.vv.m", Vd, Vs, Vt))
+#define vsrans_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrans_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.r.vv.m", Vd, Vs, Vt))
+#define vsrans_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrans_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.vv", Vd, Vs, Vt))
+#define vsrans_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrans_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.r.vv", Vd, Vs, Vt))
+#define vsrans_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsrans_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.vv.m", Vd, Vs, Vt))
+#define vsrans_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsrans_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.r.vv.m", Vd, Vs, Vt))
+#define vsrans_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsrans.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsransu_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.vv", Vd, Vs, Vt))
+#define vsransu_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsransu_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.r.vv", Vd, Vs, Vt))
+#define vsransu_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsransu_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.vv.m", Vd, Vs, Vt))
+#define vsransu_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsransu_b_r_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.r.vv.m", Vd, Vs, Vt))
+#define vsransu_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsransu_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.vv", Vd, Vs, Vt))
+#define vsransu_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsransu_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.r.vv", Vd, Vs, Vt))
+#define vsransu_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsransu_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.vv.m", Vd, Vs, Vt))
+#define vsransu_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsransu_h_r_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.r.vv.m", Vd, Vs, Vt))
+#define vsransu_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsransu.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsraqs_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.vv", Vd, Vs, Vt))
+#define vsraqs_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsraqs_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.r.vv", Vd, Vs, Vt))
+#define vsraqs_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsraqs_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.vv.m", Vd, Vs, Vt))
+#define vsraqs_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsraqs_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.r.vv.m", Vd, Vs, Vt))
+#define vsraqs_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqs.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsraqsu_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.vv", Vd, Vs, Vt))
+#define vsraqsu_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsraqsu_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.r.vv", Vd, Vs, Vt))
+#define vsraqsu_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vsraqsu_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.vv.m", Vd, Vs, Vt))
+#define vsraqsu_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsraqsu_b_r_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.r.vv.m", Vd, Vs, Vt))
+#define vsraqsu_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsraqsu.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+
+// 011 Mul/Div
+#define vmul_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.b.vv", Vd, Vs, Vt))
+#define vmul_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmul_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.b.vv.m", Vd, Vs, Vt))
+#define vmul_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmul_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.h.vv", Vd, Vs, Vt))
+#define vmul_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmul_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.h.vv.m", Vd, Vs, Vt))
+#define vmul_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmul_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.w.vv", Vd, Vs, Vt))
+#define vmul_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmul_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmul.w.vv.m", Vd, Vs, Vt))
+#define vmul_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmul.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.vv", Vd, Vs, Vt))
+#define vmuls_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.u.vv", Vd, Vs, Vt))
+#define vmuls_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.vv.m", Vd, Vs, Vt))
+#define vmuls_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.u.vv.m", Vd, Vs, Vt))
+#define vmuls_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.vv", Vd, Vs, Vt))
+#define vmuls_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.u.vv", Vd, Vs, Vt))
+#define vmuls_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.vv.m", Vd, Vs, Vt))
+#define vmuls_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.u.vv.m", Vd, Vs, Vt))
+#define vmuls_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.vv", Vd, Vs, Vt))
+#define vmuls_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.u.vv", Vd, Vs, Vt))
+#define vmuls_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmuls_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.vv.m", Vd, Vs, Vt))
+#define vmuls_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmuls_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.u.vv.m", Vd, Vs, Vt))
+#define vmuls_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmuls.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.vv", Vd, Vs, Vt))
+#define vmulw_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_b_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.u.vv", Vd, Vs, Vt))
+#define vmulw_b_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.vv.m", Vd, Vs, Vt))
+#define vmulw_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_b_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.u.vv.m", Vd, Vs, Vt))
+#define vmulw_b_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.b.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.vv", Vd, Vs, Vt))
+#define vmulw_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_h_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.u.vv", Vd, Vs, Vt))
+#define vmulw_h_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.vv.m", Vd, Vs, Vt))
+#define vmulw_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_h_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.u.vv.m", Vd, Vs, Vt))
+#define vmulw_h_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.h.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.vv", Vd, Vs, Vt))
+#define vmulw_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_w_u_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.u.vv", Vd, Vs, Vt))
+#define vmulw_w_u_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.u.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulw_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.vv.m", Vd, Vs, Vt))
+#define vmulw_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulw_w_u_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.u.vv.m", Vd, Vs, Vt))
+#define vmulw_w_u_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulw.w.u.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.vv", Vd, Vs, Vt))
+#define vmulh_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.r.vv", Vd, Vs, Vt))
+#define vmulh_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.vv.m", Vd, Vs, Vt))
+#define vmulh_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.r.vv.m", Vd, Vs, Vt))
+#define vmulh_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.vv", Vd, Vs, Vt))
+#define vmulh_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.r.vv", Vd, Vs, Vt))
+#define vmulh_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.vv.m", Vd, Vs, Vt))
+#define vmulh_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.r.vv.m", Vd, Vs, Vt))
+#define vmulh_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.vv", Vd, Vs, Vt))
+#define vmulh_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.r.vv", Vd, Vs, Vt))
+#define vmulh_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulh_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.vv.m", Vd, Vs, Vt))
+#define vmulh_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulh_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.r.vv.m", Vd, Vs, Vt))
+#define vmulh_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulh.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.vv", Vd, Vs, Vt))
+#define vmulhu_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.r.vv", Vd, Vs, Vt))
+#define vmulhu_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.vv.m", Vd, Vs, Vt))
+#define vmulhu_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.r.vv.m", Vd, Vs, Vt))
+#define vmulhu_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.vv", Vd, Vs, Vt))
+#define vmulhu_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.r.vv", Vd, Vs, Vt))
+#define vmulhu_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.vv.m", Vd, Vs, Vt))
+#define vmulhu_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.r.vv.m", Vd, Vs, Vt))
+#define vmulhu_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.vv", Vd, Vs, Vt))
+#define vmulhu_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.r.vv", Vd, Vs, Vt))
+#define vmulhu_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.vv.m", Vd, Vs, Vt))
+#define vmulhu_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmulhu_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.r.vv.m", Vd, Vs, Vt))
+#define vmulhu_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmulhu.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.vv", Vd, Vs, Vt))
+#define vdmulh_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.r.vv", Vd, Vs, Vt))
+#define vdmulh_b_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_rn_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.rn.vv", Vd, Vs, Vt))
+#define vdmulh_b_rn_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.rn.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.vv.m", Vd, Vs, Vt))
+#define vdmulh_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.r.vv.m", Vd, Vs, Vt))
+#define vdmulh_b_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_b_rn_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.rn.vv.m", Vd, Vs, Vt))
+#define vdmulh_b_rn_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.b.rn.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.vv", Vd, Vs, Vt))
+#define vdmulh_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.r.vv", Vd, Vs, Vt))
+#define vdmulh_h_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_rn_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.rn.vv", Vd, Vs, Vt))
+#define vdmulh_h_rn_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.rn.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.vv.m", Vd, Vs, Vt))
+#define vdmulh_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.r.vv.m", Vd, Vs, Vt))
+#define vdmulh_h_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_h_rn_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.rn.vv.m", Vd, Vs, Vt))
+#define vdmulh_h_rn_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.h.rn.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.vv", Vd, Vs, Vt))
+#define vdmulh_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_r_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.r.vv", Vd, Vs, Vt))
+#define vdmulh_w_r_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.r.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_rn_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.rn.vv", Vd, Vs, Vt))
+#define vdmulh_w_rn_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.rn.vx", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.vv.m", Vd, Vs, Vt))
+#define vdmulh_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_r_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.r.vv.m", Vd, Vs, Vt))
+#define vdmulh_w_r_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.r.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vdmulh_w_rn_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.rn.vv.m", Vd, Vs, Vt))
+#define vdmulh_w_rn_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vdmulh.w.rn.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmacc_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.b.vv", Vd, Vs, Vt))
+#define vmacc_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmacc_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.b.vv.m", Vd, Vs, Vt))
+#define vmacc_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmacc_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.h.vv", Vd, Vs, Vt))
+#define vmacc_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmacc_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.h.vv.m", Vd, Vs, Vt))
+#define vmacc_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmacc_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.w.vv", Vd, Vs, Vt))
+#define vmacc_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmacc_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.w.vv.m", Vd, Vs, Vt))
+#define vmacc_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmacc.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmadd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.b.vv", Vd, Vs, Vt))
+#define vmadd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vmadd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.b.vv.m", Vd, Vs, Vt))
+#define vmadd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmadd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.h.vv", Vd, Vs, Vt))
+#define vmadd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vmadd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.h.vv.m", Vd, Vs, Vt))
+#define vmadd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vmadd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.w.vv", Vd, Vs, Vt))
+#define vmadd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vmadd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.w.vv.m", Vd, Vs, Vt))
+#define vmadd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vmadd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+
+// 110 Shuffle
+#define vsliden_b_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.1.vv", Vd, Vs, Vt))
+#define vsliden_b_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_b_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.2.vv", Vd, Vs, Vt))
+#define vsliden_b_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_b_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.3.vv", Vd, Vs, Vt))
+#define vsliden_b_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_b_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.4.vv", Vd, Vs, Vt))
+#define vsliden_b_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.b.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_h_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.1.vv", Vd, Vs, Vt))
+#define vsliden_h_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_h_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.2.vv", Vd, Vs, Vt))
+#define vsliden_h_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_h_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.3.vv", Vd, Vs, Vt))
+#define vsliden_h_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_h_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.4.vv", Vd, Vs, Vt))
+#define vsliden_h_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.h.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_w_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.1.vv", Vd, Vs, Vt))
+#define vsliden_w_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_w_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.2.vv", Vd, Vs, Vt))
+#define vsliden_w_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_w_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.3.vv", Vd, Vs, Vt))
+#define vsliden_w_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vsliden_w_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.4.vv", Vd, Vs, Vt))
+#define vsliden_w_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsliden.w.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_b_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.1.vv.m", Vd, Vs, Vt))
+#define vslidevn_b_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_b_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.2.vv.m", Vd, Vs, Vt))
+#define vslidevn_b_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_b_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.3.vv.m", Vd, Vs, Vt))
+#define vslidevn_b_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_b_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.4.vv.m", Vd, Vs, Vt))
+#define vslidevn_b_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.b.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_h_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.1.vv.m", Vd, Vs, Vt))
+#define vslidevn_h_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_h_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.2.vv.m", Vd, Vs, Vt))
+#define vslidevn_h_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_h_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.3.vv.m", Vd, Vs, Vt))
+#define vslidevn_h_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_h_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.4.vv.m", Vd, Vs, Vt))
+#define vslidevn_h_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.h.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_w_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.1.vv.m", Vd, Vs, Vt))
+#define vslidevn_w_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_w_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.2.vv.m", Vd, Vs, Vt))
+#define vslidevn_w_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_w_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.3.vv.m", Vd, Vs, Vt))
+#define vslidevn_w_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevn_w_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.4.vv.m", Vd, Vs, Vt))
+#define vslidevn_w_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevn.w.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_b_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.1.vv.m", Vd, Vs, Vt))
+#define vslidehn_b_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_b_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.2.vv.m", Vd, Vs, Vt))
+#define vslidehn_b_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_b_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.3.vv.m", Vd, Vs, Vt))
+#define vslidehn_b_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_b_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.4.vv.m", Vd, Vs, Vt))
+#define vslidehn_b_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.b.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_h_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.1.vv.m", Vd, Vs, Vt))
+#define vslidehn_h_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_h_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.2.vv.m", Vd, Vs, Vt))
+#define vslidehn_h_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_h_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.3.vv.m", Vd, Vs, Vt))
+#define vslidehn_h_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_h_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.4.vv.m", Vd, Vs, Vt))
+#define vslidehn_h_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.h.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_w_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.1.vv.m", Vd, Vs, Vt))
+#define vslidehn_w_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_w_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.2.vv.m", Vd, Vs, Vt))
+#define vslidehn_w_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_w_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.3.vv.m", Vd, Vs, Vt))
+#define vslidehn_w_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehn_w_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.4.vv.m", Vd, Vs, Vt))
+#define vslidehn_w_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehn.w.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidep_b_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.1.vv", Vd, Vs, Vt))
+#define vslidep_b_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_b_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.2.vv", Vd, Vs, Vt))
+#define vslidep_b_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_b_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.3.vv", Vd, Vs, Vt))
+#define vslidep_b_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_b_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.4.vv", Vd, Vs, Vt))
+#define vslidep_b_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.b.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_h_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.1.vv", Vd, Vs, Vt))
+#define vslidep_h_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_h_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.2.vv", Vd, Vs, Vt))
+#define vslidep_h_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_h_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.3.vv", Vd, Vs, Vt))
+#define vslidep_h_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_h_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.4.vv", Vd, Vs, Vt))
+#define vslidep_h_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.h.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_w_1_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.1.vv", Vd, Vs, Vt))
+#define vslidep_w_1_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.1.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_w_2_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.2.vv", Vd, Vs, Vt))
+#define vslidep_w_2_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.2.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_w_3_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.3.vv", Vd, Vs, Vt))
+#define vslidep_w_3_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.3.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidep_w_4_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.4.vv", Vd, Vs, Vt))
+#define vslidep_w_4_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vslidep.w.4.vx", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_b_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.1.vv.m", Vd, Vs, Vt))
+#define vslidevp_b_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_b_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.2.vv.m", Vd, Vs, Vt))
+#define vslidevp_b_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_b_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.3.vv.m", Vd, Vs, Vt))
+#define vslidevp_b_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_b_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.4.vv.m", Vd, Vs, Vt))
+#define vslidevp_b_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.b.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_h_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.1.vv.m", Vd, Vs, Vt))
+#define vslidevp_h_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_h_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.2.vv.m", Vd, Vs, Vt))
+#define vslidevp_h_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_h_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.3.vv.m", Vd, Vs, Vt))
+#define vslidevp_h_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_h_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.4.vv.m", Vd, Vs, Vt))
+#define vslidevp_h_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.h.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_w_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.1.vv.m", Vd, Vs, Vt))
+#define vslidevp_w_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_w_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.2.vv.m", Vd, Vs, Vt))
+#define vslidevp_w_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_w_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.3.vv.m", Vd, Vs, Vt))
+#define vslidevp_w_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidevp_w_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.4.vv.m", Vd, Vs, Vt))
+#define vslidevp_w_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidevp.w.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_b_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.1.vv.m", Vd, Vs, Vt))
+#define vslidehp_b_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_b_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.2.vv.m", Vd, Vs, Vt))
+#define vslidehp_b_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_b_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.3.vv.m", Vd, Vs, Vt))
+#define vslidehp_b_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_b_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.4.vv.m", Vd, Vs, Vt))
+#define vslidehp_b_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.b.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_h_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.1.vv.m", Vd, Vs, Vt))
+#define vslidehp_h_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_h_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.2.vv.m", Vd, Vs, Vt))
+#define vslidehp_h_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_h_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.3.vv.m", Vd, Vs, Vt))
+#define vslidehp_h_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_h_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.4.vv.m", Vd, Vs, Vt))
+#define vslidehp_h_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.h.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_w_1_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.1.vv.m", Vd, Vs, Vt))
+#define vslidehp_w_1_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.1.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_w_2_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.2.vv.m", Vd, Vs, Vt))
+#define vslidehp_w_2_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.2.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_w_3_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.3.vv.m", Vd, Vs, Vt))
+#define vslidehp_w_3_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.3.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vslidehp_w_4_vv_m(Vd, Vs, Vt)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.4.vv.m", Vd, Vs, Vt))
+#define vslidehp_w_4_vx_m(Vd, Vs, t)__asm__ __volatile__(ARGS_F_A_A_A("vslidehp.w.4.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsel_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.b.vv", Vd, Vs, Vt))
+#define vsel_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vsel_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.b.vv.m", Vd, Vs, Vt))
+#define vsel_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsel_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.h.vv", Vd, Vs, Vt))
+#define vsel_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vsel_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.h.vv.m", Vd, Vs, Vt))
+#define vsel_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vsel_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.w.vv", Vd, Vs, Vt))
+#define vsel_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vsel_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vsel.w.vv.m", Vd, Vs, Vt))
+#define vsel_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vsel.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevn_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.b.vv", Vd, Vs, Vt))
+#define vevn_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vevn_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.b.vv.m", Vd, Vs, Vt))
+#define vevn_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevn_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.h.vv", Vd, Vs, Vt))
+#define vevn_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vevn_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.h.vv.m", Vd, Vs, Vt))
+#define vevn_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevn_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.w.vv", Vd, Vs, Vt))
+#define vevn_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vevn_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevn.w.vv.m", Vd, Vs, Vt))
+#define vevn_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevn.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vodd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.b.vv", Vd, Vs, Vt))
+#define vodd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vodd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.b.vv.m", Vd, Vs, Vt))
+#define vodd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vodd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.h.vv", Vd, Vs, Vt))
+#define vodd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vodd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.h.vv.m", Vd, Vs, Vt))
+#define vodd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vodd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.w.vv", Vd, Vs, Vt))
+#define vodd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vodd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vodd.w.vv.m", Vd, Vs, Vt))
+#define vodd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vodd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.b.vv", Vd, Vs, Vt))
+#define vevnodd_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.b.vv.m", Vd, Vs, Vt))
+#define vevnodd_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.h.vv", Vd, Vs, Vt))
+#define vevnodd_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.h.vv.m", Vd, Vs, Vt))
+#define vevnodd_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.w.vv", Vd, Vs, Vt))
+#define vevnodd_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vevnodd_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.w.vv.m", Vd, Vs, Vt))
+#define vevnodd_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vevnodd.w.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vzip_b_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.b.vv", Vd, Vs, Vt))
+#define vzip_b_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.b.vx", Vd, Vs, %0) : : "r"(t))
+#define vzip_b_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.b.vv.m", Vd, Vs, Vt))
+#define vzip_b_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.b.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vzip_h_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.h.vv", Vd, Vs, Vt))
+#define vzip_h_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.h.vx", Vd, Vs, %0) : : "r"(t))
+#define vzip_h_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.h.vv.m", Vd, Vs, Vt))
+#define vzip_h_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.h.vx.m", Vd, Vs, %0) : : "r"(t))
+#define vzip_w_vv(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.w.vv", Vd, Vs, Vt))
+#define vzip_w_vx(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.w.vx", Vd, Vs, %0) : : "r"(t))
+#define vzip_w_vv_m(Vd, Vs, Vt) __asm__ __volatile__(ARGS_F_A_A_A("vzip.w.vv.m", Vd, Vs, Vt))
+#define vzip_w_vx_m(Vd, Vs, t) __asm__ __volatile__(ARGS_F_A_A_A("vzip.w.vx.m", Vd, Vs, %0) : : "r"(t))
+
+// 3arg
+#define aconv_vxv(Vd, Vs, t, Vr) __asm__ __volatile__(ARGS_F_A_A_A_A("aconv.vxv", Vd, Vs, %0, Vr) : : "r"(t))
+#define adwconv_vxv(Vd, Vs, t, Vr) __asm__ __volatile__(ARGS_F_A_A_A_A("adwconv.vxv", Vd, Vs, %0, Vr) : : "r"(t))
+#define vdwconv_vxv(Vd, Vs, t, Vr) __asm__ __volatile__(ARGS_F_A_A_A_A("vdwconv.vxv", Vd, Vs, %0, Vr) : : "r"(t))
+#endif // SW_DEVICE_TESTS_KELVIN_HPS_C_PORT_SW_INIT_KELVIN_INTRINSICS_H_
+// clang-format on
