# Copyright 2024 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.

"""Rules to run Kelvin benchmarks"""

load("@kelvin_sw//build_tools/bazel:kelvin.bzl", "generate_cc_arrays", "kelvin_binary", "kelvin_test")
load("@matcha//rules:matcha.bzl", "bin_to_c_file", "device_deps", "matcha_extflash_tar", "sec_flash_binary", "smc_flash_binary")

def kelvin_benchmark_simulator(
        name,
        model,
        iterations,
        test_data_input = None,
        test_data_output = None,
        profile = False,
        kelvin_binary_info = None,
        benchmark_path = "benchmarks",
        hw_test_size = "medium",
        hw_test_tags = [],
        iss_test_size = "small",
        iss_test_tags = [],
        arena_size_bytes = 1536 * 1024,  # 1.5MB
        **kwargs):
    if kelvin_binary_info:
        kelvin_test(
            name = kelvin_binary_info["name"],
            srcs = kelvin_binary_info["srcs"],
            hdrs = kelvin_binary_info["hdrs"],
            copts = kelvin_binary_info["copts"],
            deps = kelvin_binary_info["deps"],
            hw_test_size = "medium",
            iss_test_size = "medium",
        )
    else:
        kelvin_headers = ["@kelvin_sw//benchmarks:benchmark.h"]
        model_header_name = "{}_model".format(name)
        bin_to_c_file(
            name = model_header_name,
            srcs = [model],
            var_name = "g_benchmark_model_data",
        )
        kelvin_headers.append(model_header_name)

        if test_data_input:
            input_header_name = "{}_input".format(name)
            bin_to_c_file(
                name = input_header_name,
                srcs = [test_data_input],
                var_name = "g_benchmark_input",
            )
            kelvin_headers.append(input_header_name)
        if test_data_output:
            output_header_name = "{}_output".format(name)
            bin_to_c_file(
                name = output_header_name,
                srcs = [test_data_output],
                var_name = "g_benchmark_output",
            )
            kelvin_headers.append(output_header_name)

        # Test to run in simulator and MPACT.
        kelvin_test(
            name = "{}".format(name),
            srcs = ["@kelvin_sw//benchmarks:benchmark_kelvin.cc"],
            hdrs = kelvin_headers,
            copts = [
                "-DITERATIONS={}".format(iterations),
                "-DBENCHMARK_NAME={}".format(name),
                "-DTEST_DATA_INPUT={}".format(1 if test_data_input else 0),
                "-DTEST_DATA_OUTPUT={}".format(1 if test_data_output else 0),
                "-DPROFILE={}".format(1 if profile else 0),
                "-DBENCHMARK_PATH={}".format(benchmark_path),
                "-DARENA_SIZE_BYTES={}".format(arena_size_bytes),
            ],
            deps = [
                "@kelvin_sw//crt",
                "@kelvin_sw//benchmarks:benchmark_header",
                "@kelvin_sw//benchmarks:cycle_count",
                "@tflite-micro//tensorflow/lite/micro:micro_framework",
                "@tflite-micro//tensorflow/lite/micro:system_setup",
            ],
            hw_test_size = hw_test_size,
            hw_test_tags = hw_test_tags,
            iss_test_size = iss_test_size,
            iss_test_tags = iss_test_tags,
        )

def kelvin_benchmark_fpga(
        name,
        model,
        iterations,
        test_data = None,
        profile = False,
        kelvin_binary_info = None,
        benchmark_path = "benchmarks",
        **kwargs):
    _kelvin_benchmark_device(
        name = name,
        model = model,
        device_type = "fpga_nexus",
        iterations = iterations,
        test_data = test_data,
        profile = profile,
        kelvin_binary_info = kelvin_binary_info,
        benchmark_path = benchmark_path,
        **kwargs
    )

def kelvin_benchmark_asic(
        name,
        model,
        iterations,
        test_data = None,
        profile = False,
        kelvin_binary_info = None,
        benchmark_path = "benchmarks",
        **kwargs):
    _kelvin_benchmark_device(
        name = name,
        model = model,
        device_type = "asic",
        iterations = iterations,
        test_data = test_data,
        profile = profile,
        kelvin_binary_info = kelvin_binary_info,
        benchmark_path = benchmark_path,
        **kwargs
    )

def kelvin_benchmark_devices(
        name,
        model,
        iterations,
        test_data = None,
        profile = False,
        kelvin_binary_info = None,
        benchmark_path = "benchmarks",
        **kwargs):
    kelvin_benchmark_asic(
        name = "{}_asic".format(name),
        model = model,
        iterations = iterations,
        test_data = test_data,
        profile = profile,
        kelvin_binary_info = kelvin_binary_info,
        benchmark_path = benchmark_path,
        **kwargs
    )

    kelvin_benchmark_fpga(
        name = "{}_fpga".format(name),
        model = model,
        iterations = iterations,
        test_data = test_data,
        profile = profile,
        kelvin_binary_info = kelvin_binary_info,
        benchmark_path = benchmark_path,
        **kwargs
    )

    # Create a filegroup to allow building all devices
    native.filegroup(
        name = "{}".format(name),
        srcs = [
            ":{}_asic".format(name),
            ":{}_fpga".format(name),
        ],
        output_group = "device_files",
    )

def _kelvin_benchmark_device(
        name,
        model,
        device_type,
        iterations,
        test_data_input = None,
        test_data_output = None,
        profile = False,
        kelvin_binary_info = None,
        benchmark_path = "benchmarks",
        arena_size_bytes = 1536 * 1024,  # 1.5MB
        tags = [],
        **kwargs):
    # Creation of binaries for running on FPGA
    smc_flash_binary(
        name = "{}_smc".format(name),
        srcs = [
            "@kelvin_sw//benchmarks:benchmark_smc.c",
            "@kelvin_sw//benchmarks:benchmark.h",
        ],
        copts = ["-DBENCHMARK_NAME={}".format(name)],
        per_device_deps = {
            device_type: device_deps("smc").get(device_type),
        },
        deps = [
            "@matcha//sw/device/lib/dif:ml_top",
            "@matcha//sw/device/tests:test_lib_smc",
            "@matcha//sw/device/lib/dif:i2s",
            "@matcha//sw/device/lib/dif:tlul_mailbox",
            "@kelvin_sw//benchmarks:benchmark_header",
            "@kelvin_sw//benchmarks:cycle_count",
            "@lowrisc_opentitan//sw/device/lib/dif:rv_plic",
            "@lowrisc_opentitan//sw/device/lib/dif:rv_timer",
        ],
    )

    bin_to_c_file(
        name = "{}-smc_bin".format(name),
        srcs = ["{}_smc_{}_bin".format(name, device_type)],
        var_name = "smc_bin",
    )

    sec_flash_binary(
        name = "{}_sec".format(name),
        srcs = [
            "@kelvin_sw//benchmarks:benchmark_sec.c",
            "{}-smc_bin.h".format(name),
            "@kelvin_sw//benchmarks:benchmark.h",
        ],
        copts = [
            "-DBENCHMARK_NAME={}".format(name),
            "-DBENCHMARK_PATH={}".format(benchmark_path),
        ],
        per_device_deps = {
            device_type: device_deps("secure_core").get(device_type),
        },
        deps = [
            "@matcha//sw/device/lib:spi_flash",
            "@matcha//sw/device/tests:test_lib",
            "@matcha//sw/device/lib/dif:smc_ctrl",
            "@matcha//sw/device/lib/dif:tlul_mailbox",
            "@kelvin_sw//benchmarks:benchmark_header",
            "@kelvin_sw//benchmarks:cycle_count",
            "@lowrisc_opentitan//sw/device/lib/dif:rv_plic",
        ],
    )

    # If provided Kelvin binary info, use that instead of the standard
    if kelvin_binary_info:
        kelvin_binary(
            name = "{}_kelvin".format(name),
            srcs = kelvin_binary_info["srcs"],
            copts = kelvin_binary_info["copts"],
            hdrs = kelvin_binary_info["hdrs"],
            deps = kelvin_binary_info["deps"],
        )
    else:
        kelvin_headers = ["@kelvin_sw//benchmarks:benchmark.h"]
        model_header_name = "{}_model".format(name)
        bin_to_c_file(
            name = "{}_model".format(name),
            srcs = [model],
            var_name = "g_benchmark_model_data",
        )
        kelvin_headers.append(model_header_name)

        if test_data_input:
            input_header_name = "{}_input".format(name)
            bin_to_c_file(
                name = input_header_name,
                srcs = [test_data_input],
                var_name = "g_benchmark_input",
            )
            kelvin_headers.append(input_header_name)
        if test_data_output:
            output_header_name = "{}_output".format(name)
            bin_to_c_file(
                name = output_header_name,
                srcs = [test_data_output],
                var_name = "g_benchmark_output",
            )
            kelvin_headers.append(output_header_name)

        kelvin_binary(
            name = "{}_kelvin".format(name),
            srcs = [
                "@kelvin_sw//benchmarks:benchmark_kelvin.cc",
            ],
            copts = [
                "-DITERATIONS={}".format(iterations),
                "-DBENCHMARK_NAME={}".format(name),
                "-DTEST_DATA_INPUT={}".format(1 if test_data_input else 0),
                "-DTEST_DATA_OUTPUT={}".format(1 if test_data_output else 0),
                "-DPROFILE={}".format(1 if profile else 0),
                "-DBENCHMARK_PATH={}".format(benchmark_path),
                "-DARENA_SIZE_BYTES={}".format(arena_size_bytes),
            ],
            hdrs = kelvin_headers,
            deps = [
                "@kelvin_sw//benchmarks:benchmark_header",
                "@kelvin_sw//benchmarks:cycle_count",
                "@tflite-micro//tensorflow/lite/micro:micro_framework",
                "@tflite-micro//tensorflow/lite/micro:system_setup",
            ],
        )

    matcha_extflash_tar(
        name = "{}_extflash".format(name),
        kelvin_binary = ":{}_kelvin.bin".format(name),
        sc_binary = ":{}_sec_{}_bin".format(name, device_type),
        tags = tags,
    )

    # Create a filegroup with all device targets.
    native.filegroup(
        name = "{}".format(name),
        srcs = [
            ":{}_sec".format(name),
            ":{}-smc_bin".format(name),
            ":{}_kelvin".format(name),
            ":{}_extflash".format(name),
        ],
        output_group = "{}_files".format(device_type),
    )