| // RUN: iree-dialects-opt --split-input-file %s | FileCheck %s |
| |
| // CHECK-LABEL: func.func @sort_tensor |
| // CHECK: iree_linalg_ext.sort |
| // CHECK-SAME: dimension(0) |
| // CHECK-SAME: outs({{.*}}) |
| // CHECK: iree_linalg_ext.yield |
| func.func @sort_tensor(%arg0: tensor<128xi32>) -> tensor<128xi32> { |
| %0 = iree_linalg_ext.sort |
| dimension(0) |
| outs(%arg0 : tensor<128xi32>) { |
| ^bb0(%arg1: i32, %arg2: i32): // no predecessors |
| %1 = arith.cmpi sgt, %arg1, %arg2 : i32 |
| iree_linalg_ext.yield %1 : i1 |
| } -> tensor<128xi32> |
| return %0 : tensor<128xi32> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: func.func @sort_memref |
| // CHECK: iree_linalg_ext.sort |
| // CHECK-SAME: dimension(0) |
| // CHECK-SAME: outs({{.*}}) |
| // CHECK: iree_linalg_ext.yield |
| func.func @sort_memref(%arg0: memref<128xi32>) { |
| iree_linalg_ext.sort dimension(0) |
| outs(%arg0 : memref<128xi32>) { |
| ^bb0(%arg1: i32, %arg2: i32): // no predecessors |
| %0 = arith.cmpi sgt, %arg1, %arg2 : i32 |
| iree_linalg_ext.yield %0 : i1 |
| } |
| return |
| } |
| |
| // ----- |
| |
| func.func @sort_multi_result_tensor( |
| %arg0: tensor<?x?xi32>, %arg1: tensor<?x?xf32>) |
| -> (tensor<?x?xi32>, tensor<?x?xf32>) { |
| %0:2 = iree_linalg_ext.sort dimension(0) |
| outs(%arg0, %arg1 : tensor<?x?xi32>, tensor<?x?xf32>) { |
| ^bb0(%arg2: i32, %arg3: i32, %arg4 : f32, %arg5 : f32): // no predecessors |
| %1 = arith.cmpf ogt, %arg4, %arg5 : f32 |
| iree_linalg_ext.yield %1 : i1 |
| } -> tensor<?x?xi32>, tensor<?x?xf32> |
| return %0#0, %0#1 : tensor<?x?xi32>, tensor<?x?xf32> |
| } |
| // CHECK-LABEL: func.func @sort_multi_result_tensor |
| // CHECK-SAME: %[[ARG0:.+]]: tensor<?x?xi32> |
| // CHECK-SAME: %[[ARG1:.+]]: tensor<?x?xf32> |
| // CHECK: %[[RESULT:.+]]:2 = iree_linalg_ext.sort dimension(0) |
| // CHECK-SAME: outs(%[[ARG0]], %[[ARG1]] |
| // CHECK: return %[[RESULT]]#0, %[[RESULT]]#1 |
| |
| // ----- |
| |
| func.func @sort_multi_result_memref( |
| %arg0: memref<?x?xi32>, %arg1: memref<?x?xf32>) { |
| iree_linalg_ext.sort dimension(0) |
| outs(%arg0, %arg1 : memref<?x?xi32>, memref<?x?xf32>) { |
| ^bb0(%arg2: i32, %arg3: i32, %arg4 : f32, %arg5 : f32): // no predecessors |
| %1 = arith.cmpf ogt, %arg4, %arg5 : f32 |
| iree_linalg_ext.yield %1 : i1 |
| } |
| return |
| } |
| // CHECK-LABEL: func.func @sort_multi_result_memref |
| // CHECK-SAME: %[[ARG0:.+]]: memref<?x?xi32> |
| // CHECK-SAME: %[[ARG1:.+]]: memref<?x?xf32> |
| // CHECK: iree_linalg_ext.sort dimension(0) |
| // CHECK-SAME: outs(%[[ARG0]], %[[ARG1]] |
| |
| // ----- |
| |
| func.func @scatter_tensor_dynamic( |
| %original: tensor<?x?xf32>, %indices: tensor<?x1xi32>, |
| %update: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%update, %indices : tensor<?x?xf32>, tensor<?x1xi32>) |
| outs(%original: tensor<?x?xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
| // CHECK-LABEL: func.func @scatter_tensor_dynamic( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: tensor<?x1xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_repeated_tensor_dynamic( |
| %original: tensor<?x?xf32>, %indices: tensor<?x1xi32>, |
| %update: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(false) |
| ins(%update, %indices : tensor<?x?xf32>, tensor<?x1xi32>) |
| outs(%original: tensor<?x?xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
| // CHECK-LABEL: func.func @scatter_repeated_tensor_dynamic( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: tensor<?x1xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(false) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_tensor_static( |
| %original: tensor<128x3xf32>, %indices: tensor<48x1xi32>, |
| %update: tensor<48x3xf32>) -> tensor<128x3xf32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%update, %indices : tensor<48x3xf32>, tensor<48x1xi32>) |
| outs(%original: tensor<128x3xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } -> tensor<128x3xf32> |
| return %0 : tensor<128x3xf32> |
| } |
| // CHECK-LABEL: func.func @scatter_tensor_static( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: tensor<128x3xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: tensor<48x1xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: tensor<48x3xf32> |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_tensor_multi_index_depth( |
| %original: tensor<1x128x3xf32>, %indices: tensor<48x2xi32>, |
| %update: tensor<48x3xf32>) -> tensor<1x128x3xf32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0, 1] |
| unique_indices(true) |
| ins(%update, %indices : tensor<48x3xf32>, tensor<48x2xi32>) |
| outs(%original: tensor<1x128x3xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } -> tensor<1x128x3xf32> |
| return %0 : tensor<1x128x3xf32> |
| } |
| // CHECK-LABEL: func.func @scatter_tensor_multi_index_depth( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: tensor<1x128x3xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: tensor<48x2xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: tensor<48x3xf32> |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0, 1] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_memref_dynamic( |
| %original: memref<?x?xf32>, %indices: memref<?x1xi32>, |
| %update: memref<?x?xf32>) { |
| iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%update, %indices : memref<?x?xf32>, memref<?x1xi32>) |
| outs(%original: memref<?x?xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } |
| return |
| } |
| // CHECK-LABEL: func.func @scatter_memref_dynamic( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: memref<?x?xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: memref<?x1xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: memref<?x?xf32> |
| // CHECK: iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return |
| |
| // ----- |
| |
| func.func @scatter_memref_static( |
| %original: memref<128x3xf32>, %indices: memref<48x1xi32>, |
| %update: memref<48x3xf32>) { |
| iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%update, %indices : memref<48x3xf32>, memref<48x1xi32>) |
| outs(%original: memref<128x3xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } |
| return |
| } |
| // CHECK-LABEL: func.func @scatter_memref_static( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: memref<128x3xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: memref<48x1xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: memref<48x3xf32> |
| // CHECK: iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return |
| |
| // ----- |
| |
| func.func @scatter_memref_multi_index_depth( |
| %original: memref<1x128x3xf32>, %indices: memref<48x2xi32>, |
| %update: memref<48x3xf32>) { |
| iree_linalg_ext.scatter |
| dimension_map = [0, 1] |
| unique_indices(true) |
| ins(%update, %indices : memref<48x3xf32>, memref<48x2xi32>) |
| outs(%original: memref<1x128x3xf32>) { |
| ^bb0(%arg1: f32, %arg2: f32): |
| %1 = arith.addf %arg1, %arg2 : f32 |
| iree_linalg_ext.yield %1 : f32 |
| } |
| return |
| } |
| // CHECK-LABEL: func.func @scatter_memref_multi_index_depth( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]]: memref<1x128x3xf32> |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]]: memref<48x2xi32> |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]]: memref<48x3xf32> |
| // CHECK: iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0, 1] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : f32 |
| // CHECK: return |
| |
| // ----- |
| |
| func.func @scatter_update_scalar_1D( |
| %original: tensor<8xi32>, %indices: tensor<3x1xi32>, |
| %updates: tensor<3xi32>) -> tensor<8xi32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%updates, %indices : tensor<3xi32>, tensor<3x1xi32>) |
| outs(%original : tensor<8xi32>) { |
| ^bb0(%arg0: i32, %arg1: i32): // no predecessors |
| iree_linalg_ext.yield %arg0 : i32 |
| } -> tensor<8xi32> |
| return %0 : tensor<8xi32> |
| } |
| // CHECK-LABEL: func.func @scatter_update_scalar_1D( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]] |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : i32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_update_scalar_2D( |
| %original: tensor<4x3xi32>, %indices: tensor<3x2xi32>, |
| %updates: tensor<3xi32>) -> tensor<4x3xi32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0, 1] |
| unique_indices(true) |
| ins(%updates, %indices : tensor<3xi32>, tensor<3x2xi32>) |
| outs(%original : tensor<4x3xi32>) { |
| ^bb0(%arg0: i32, %arg1: i32): // no predecessors |
| iree_linalg_ext.yield %arg0 : i32 |
| } -> tensor<4x3xi32> |
| return %0 : tensor<4x3xi32> |
| } |
| // CHECK-LABEL: func.func @scatter_update_scalar_2D( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]] |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0, 1] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : i32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_update_slice_2D( |
| %original: tensor<4x3xi32>, %indices: tensor<1x1xi32>, |
| %updates: tensor<1x3xi32>) -> tensor<4x3xi32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%updates, %indices : tensor<1x3xi32>, tensor<1x1xi32>) |
| outs(%original : tensor<4x3xi32>) { |
| ^bb0(%arg0: i32, %arg1: i32): // no predecessors |
| iree_linalg_ext.yield %arg0 : i32 |
| } -> tensor<4x3xi32> |
| return %0 : tensor<4x3xi32> |
| } |
| // CHECK-LABEL: func.func @scatter_update_slice_2D( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]] |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : i32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @scatter_update_slice_2D( |
| %original: tensor<4x?xi32>, %indices: tensor<1x1xi32>, |
| %updates: tensor<1x3xi32>) -> tensor<4x?xi32> { |
| %0 = iree_linalg_ext.scatter |
| dimension_map = [0] |
| unique_indices(true) |
| ins(%updates, %indices : tensor<1x3xi32>, tensor<1x1xi32>) |
| outs(%original : tensor<4x?xi32>) { |
| ^bb0(%arg0: i32, %arg1: i32): // no predecessors |
| iree_linalg_ext.yield %arg0 : i32 |
| } -> tensor<4x?xi32> |
| return %0 : tensor<4x?xi32> |
| } |
| // CHECK-LABEL: func.func @scatter_update_slice_2D( |
| // CHECK-SAME: %[[ORIGINAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[INDICES:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[UPDATE:[a-zA-Z0-9_]+]] |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.scatter |
| // CHECK-SAME: dimension_map = [0] |
| // CHECK-SAME: unique_indices(true) |
| // CHECK-SAME: ins(%[[UPDATE]], %[[INDICES]] |
| // CHECK-SAME: outs(%[[ORIGINAL]] |
| // CHECK: iree_linalg_ext.yield %{{.+}} : i32 |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @fft_tensor(%arg0: tensor<1024xf32>, %arg1: tensor<1024xf32>) |
| -> (tensor<1024xf32>, tensor<1024xf32>) { |
| %cst1 = arith.constant 1 : index |
| %0:2 = iree_linalg_ext.fft |
| ins(%cst1: index) |
| outs(%arg0, %arg1: tensor<1024xf32>, tensor<1024xf32>) |
| : tensor<1024xf32>, tensor<1024xf32> |
| return %0#0, %0#1 : tensor<1024xf32>, tensor<1024xf32> |
| } |
| // CHECK-LABEL: func.func @fft_tensor( |
| // CHECK-SAME: %[[REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[IMAG:[a-zA-Z0-9_]+]] |
| // CHECK: %[[CST:.+]] = arith.constant 1 : index |
| // CHECK: %[[RES:.+]]:2 = iree_linalg_ext.fft |
| // CHECK-SAME: ins(%[[CST]] : index) |
| // CHECK-SAME: outs(%[[REAL]], %[[IMAG]] : tensor<1024xf32>, tensor<1024xf32>) |
| // CHECK-SAME: : tensor<1024xf32>, tensor<1024xf32> |
| // CHECK: return %[[RES]]#0, %[[RES]]#1 |
| |
| // ----- |
| |
| func.func @fft_memref(%arg0: memref<1024xf32>, %arg1: memref<1024xf32>) { |
| %cst1 = arith.constant 1 : index |
| iree_linalg_ext.fft |
| ins(%cst1: index) |
| outs(%arg0, %arg1: memref<1024xf32>, memref<1024xf32>) |
| return |
| } |
| // CHECK-LABEL: func.func @fft_memref( |
| // CHECK-SAME: %[[REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[IMAG:[a-zA-Z0-9_]+]] |
| // CHECK: %[[CST:.+]] = arith.constant 1 : index |
| // CHECK: iree_linalg_ext.fft |
| // CHECK-SAME: ins(%[[CST]] : index) |
| // CHECK-SAME: outs(%[[REAL]], %[[IMAG]] : memref<1024xf32>, memref<1024xf32>) |
| // CHECK: return |
| |
| // ----- |
| |
| func.func @fft_tensor_coef(%arg0: tensor<1024xf32>, %arg1: tensor<1024xf32>, |
| %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> (tensor<1024xf32>, tensor<1024xf32>) { |
| %cst1 = arith.constant 1 : index |
| %0:2 = iree_linalg_ext.fft |
| ins(%cst1, %arg2, %arg3: index, tensor<1xf32>, tensor<1xf32>) |
| outs(%arg0, %arg1: tensor<1024xf32>, tensor<1024xf32>) |
| : tensor<1024xf32>, tensor<1024xf32> |
| return %0#0, %0#1 : tensor<1024xf32>, tensor<1024xf32> |
| } |
| // CHECK-LABEL: func.func @fft_tensor_coef( |
| // CHECK-SAME: %[[REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[IMAG:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_IMAG:[a-zA-Z0-9_]+]] |
| // CHECK: %[[CST:.+]] = arith.constant 1 : index |
| // CHECK: %[[RES:.+]]:2 = iree_linalg_ext.fft |
| // CHECK-SAME: ins(%[[CST]], %[[COEF_REAL]], %[[COEF_IMAG]] : index, tensor<1xf32>, tensor<1xf32>) |
| // CHECK-SAME: outs(%[[REAL]], %[[IMAG]] : tensor<1024xf32>, tensor<1024xf32>) |
| // CHECK-SAME: : tensor<1024xf32>, tensor<1024xf32> |
| // CHECK: return %[[RES]]#0, %[[RES]]#1 |
| |
| // ----- |
| |
| func.func @fft_memref_coef(%arg0: memref<1024xf32>, %arg1: memref<1024xf32>, |
| %arg2: memref<1xf32>, %arg3: memref<1xf32>) { |
| %cst1 = arith.constant 1 : index |
| iree_linalg_ext.fft |
| ins(%cst1, %arg2, %arg3: index, memref<1xf32>, memref<1xf32>) |
| outs(%arg0, %arg1: memref<1024xf32>, memref<1024xf32>) |
| return |
| } |
| // CHECK-LABEL: func.func @fft_memref_coef( |
| // CHECK-SAME: %[[REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[IMAG:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_IMAG:[a-zA-Z0-9_]+]] |
| // CHECK: %[[CST:.+]] = arith.constant 1 : index |
| // CHECK: iree_linalg_ext.fft |
| // CHECK-SAME: ins(%[[CST]], %[[COEF_REAL]], %[[COEF_IMAG]] : index, memref<1xf32>, memref<1xf32>) |
| // CHECK-SAME: outs(%[[REAL]], %[[IMAG]] : memref<1024xf32>, memref<1024xf32>) |
| // CHECK: return |
| |
| // ----- |
| |
| // The size of coefficient tensor is 2^(stage-1). |
| func.func @fft_tensor_coef_stage_5(%arg0: tensor<1024xf32>, %arg1: tensor<1024xf32>, |
| %arg2: tensor<16xf32>, %arg3: tensor<16xf32>) -> (tensor<1024xf32>, tensor<1024xf32>) { |
| %cst1 = arith.constant 5 : index |
| %0:2 = iree_linalg_ext.fft |
| ins(%cst1, %arg2, %arg3: index, tensor<16xf32>, tensor<16xf32>) |
| outs(%arg0, %arg1: tensor<1024xf32>, tensor<1024xf32>) |
| : tensor<1024xf32>, tensor<1024xf32> |
| return %0#0, %0#1 : tensor<1024xf32>, tensor<1024xf32> |
| } |
| // CHECK-LABEL: func.func @fft_tensor_coef_stage_5( |
| // CHECK-SAME: %[[REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[IMAG:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_REAL:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[COEF_IMAG:[a-zA-Z0-9_]+]] |
| // CHECK: %[[CST:.+]] = arith.constant 5 : index |
| // CHECK: %[[RES:.+]]:2 = iree_linalg_ext.fft |
| // CHECK-SAME: ins(%[[CST]], %[[COEF_REAL]], %[[COEF_IMAG]] : index, tensor<16xf32>, tensor<16xf32>) |
| // CHECK-SAME: outs(%[[REAL]], %[[IMAG]] : tensor<1024xf32>, tensor<1024xf32>) |
| // CHECK-SAME: : tensor<1024xf32>, tensor<1024xf32> |
| // CHECK: return %[[RES]]#0, %[[RES]]#1 |
| |
| // ----- |
| |
| func.func @reverse_tensor(%arg0: tensor<3x5xi32>) -> tensor<3x5xi32> { |
| %init = tensor.empty() : tensor<3x5xi32> |
| %0 = iree_linalg_ext.reverse |
| dimensions(dense<0> : tensor<1xi64>) |
| ins(%arg0 : tensor<3x5xi32>) |
| outs(%init : tensor<3x5xi32>) : tensor<3x5xi32> |
| return %0 : tensor<3x5xi32> |
| } |
| // CHECK-LABEL: func.func @reverse_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<3x5xi32> |
| // CHECK: %[[INIT:.+]] = tensor.empty() |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.reverse |
| // CHECK-SAME: dimensions(dense<0> : tensor<1xi64>) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[INIT]] |
| |
| // ----- |
| |
| func.func @reverse_memref(%arg0: memref<3x5xi32>, %arg1: memref<3x5xi32>) { |
| iree_linalg_ext.reverse |
| dimensions(dense<0> : tensor<1xi64>) |
| ins(%arg0 : memref<3x5xi32>) |
| outs(%arg1 : memref<3x5xi32>) |
| return |
| } |
| // CHECK-LABEL: func.func @reverse_memref |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<3x5xi32> |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<3x5xi32> |
| // CHECK: iree_linalg_ext.reverse |
| // CHECK-SAME: dimensions(dense<0> : tensor<1xi64>) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[ARG1]] |
| |
| // ----- |
| |
| func.func @reverse_dynamic_tensor(%arg0: tensor<?x?xi32>) -> tensor<?x?xi32> { |
| %c0 = arith.constant 0 : index |
| %c1 = arith.constant 1 : index |
| %d0 = tensor.dim %arg0, %c0 : tensor<?x?xi32> |
| %d1 = tensor.dim %arg0, %c1 : tensor<?x?xi32> |
| %init = tensor.empty(%d0, %d1) : tensor<?x?xi32> |
| %0 = iree_linalg_ext.reverse |
| dimensions(dense<1> : tensor<1xi64>) |
| ins(%arg0 : tensor<?x?xi32>) |
| outs(%init : tensor<?x?xi32>) : tensor<?x?xi32> |
| return %0 : tensor<?x?xi32> |
| } |
| // CHECK-LABEL: func.func @reverse_dynamic_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<?x?xi32> |
| // CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index |
| // CHECK-DAG: %[[D0:.+]] = tensor.dim %[[ARG0]], %[[C0]] |
| // CHECK-DAG: %[[D1:.+]] = tensor.dim %[[ARG0]], %[[C1]] |
| // CHECK: %[[INIT:.+]] = tensor.empty(%[[D0]], %[[D1]]) |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.reverse |
| // CHECK-SAME: dimensions(dense<1> : tensor<1xi64>) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[INIT]] |
| |
| // ----- |
| |
| func.func @reverse_static_dynamic_tensor(%arg0: tensor<3x5xi32>) -> tensor<?x?xi32> { |
| %c0 = arith.constant 0 : index |
| %c1 = arith.constant 1 : index |
| %d0 = tensor.dim %arg0, %c0 : tensor<3x5xi32> |
| %d1 = tensor.dim %arg0, %c1 : tensor<3x5xi32> |
| %init = tensor.empty(%d0, %d1) : tensor<?x?xi32> |
| %0 = iree_linalg_ext.reverse |
| dimensions(dense<1> : tensor<1xi64>) |
| ins(%arg0 : tensor<3x5xi32>) |
| outs(%init : tensor<?x?xi32>) : tensor<?x?xi32> |
| return %0 : tensor<?x?xi32> |
| } |
| // CHECK-LABEL: func.func @reverse_static_dynamic_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<3x5xi32> |
| // CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index |
| // CHECK-DAG: %[[D0:.+]] = tensor.dim %[[ARG0]], %[[C0]] |
| // CHECK-DAG: %[[D1:.+]] = tensor.dim %[[ARG0]], %[[C1]] |
| // CHECK: %[[INIT:.+]] = tensor.empty(%[[D0]], %[[D1]]) |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.reverse |
| // CHECK-SAME: dimensions(dense<1> : tensor<1xi64>) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[INIT]] |
| |
| // ----- |
| |
| func.func @reverse_multi_dims(%arg0: tensor<3x5xi32>) -> tensor<3x5xi32> { |
| %init = tensor.empty() : tensor<3x5xi32> |
| %0 = iree_linalg_ext.reverse |
| dimensions(dense<[0, 1]> : tensor<2xi64>) |
| ins(%arg0 : tensor<3x5xi32>) |
| outs(%init : tensor<3x5xi32>) : tensor<3x5xi32> |
| return %0 : tensor<3x5xi32> |
| } |
| // CHECK-LABEL: func.func @reverse_multi_dims |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<3x5xi32> |
| // CHECK: %[[INIT:.+]] = tensor.empty() |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.reverse |
| // CHECK-SAME: dimensions(dense<[0, 1]> : tensor<2xi64>) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[INIT]] |
| |
| // ----- |
| |
| func.func @topk_tensor(%input_values: tensor<20x10x8x4xf32>, %input_indices: tensor<20x10x8x4xi32>) -> (tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32>) { |
| %out_values = tensor.empty() : tensor<20x10x3x4xf32> |
| %out_indices = tensor.empty() : tensor<20x10x3x4xi32> |
| %0:2 = iree_linalg_ext.topk |
| dimension(2) |
| ins(%input_values, %input_indices : tensor<20x10x8x4xf32> , tensor<20x10x8x4xi32>) |
| outs(%out_values, %out_indices : tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32>) { |
| ^bb0(%arg0: f32, %arg1: f32): // no predecessors |
| %0 = arith.cmpf ogt, %arg0, %arg1 : f32 |
| iree_linalg_ext.yield %0 : i1 |
| } -> tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32> |
| return %0#0, %0#1 : tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32> |
| } |
| |
| // CHECK-LABEL: func.func @topk_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<20x10x8x4xf32> |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<20x10x8x4xi32> |
| // CHECK: %[[OUT_VALUES:.+]] = tensor.empty() |
| // CHECK: %[[OUT_INDICES:.+]] = tensor.empty() |
| // CHECK: %[[RESULT:.+]]:2 = iree_linalg_ext.topk |
| // CHECK-SAME: dimension(2) |
| // CHECK-SAME: ins(%[[ARG0]], %[[ARG1]] |
| // CHECK-SAME: outs(%[[OUT_VALUES]], %[[OUT_INDICES]] |
| // CHECK: iree_linalg_ext.yield |
| // CHECK: return %[[RESULT]]#0, %[[RESULT]]#1 |
| |
| // ----- |
| |
| func.func @topk_memref(%input_values: memref<4x10xf32>, %input_indices: memref<4x10xi32>, %out_values: memref<4x3xf32>, %out_indices: memref<4x3xi32>) { |
| iree_linalg_ext.topk |
| dimension(1) |
| ins(%input_values, %input_indices : memref<4x10xf32> , memref<4x10xi32>) |
| outs(%out_values, %out_indices : memref<4x3xf32>, memref<4x3xi32>) { |
| ^bb0(%arg0: f32, %arg1: f32): // no predecessors |
| %0 = arith.cmpf ogt, %arg0, %arg1 : f32 |
| iree_linalg_ext.yield %0 : i1 |
| } |
| return |
| } |
| // CHECK-LABEL: func.func @topk_memref |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<4x10xf32> |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<4x10xi32> |
| // CHECK-SAME: %[[ARG2:[a-zA-Z0-9]+]]: memref<4x3xf32> |
| // CHECK-SAME: %[[ARG3:[a-zA-Z0-9]+]]: memref<4x3xi32> |
| // CHECK: iree_linalg_ext.topk |
| // CHECK-SAME: dimension(1) |
| // CHECK-SAME: ins(%[[ARG0]], %[[ARG1]] |
| // CHECK-SAME: outs(%[[ARG2]], %[[ARG3]] |
| // CHECK: iree_linalg_ext.yield |
| |
| // ----- |
| |
| func.func @topk_dynamic_tensor(%input_values: tensor<?x?xf32>, %input_indices: tensor<?x?xi32>, %out_values: tensor<?x?xf32>, %out_indices: tensor<?x?xi32>) -> (tensor<?x?xf32>, tensor<?x?xi32>) { |
| %0:2 = iree_linalg_ext.topk |
| dimension(1) |
| ins(%input_values, %input_indices : tensor<?x?xf32> , tensor<?x?xi32>) |
| outs(%out_values, %out_indices : tensor<?x?xf32>, tensor<?x?xi32>) { |
| ^bb0(%arg0: f32, %arg1: f32): // no predecessors |
| %0 = arith.cmpf ogt, %arg0, %arg1 : f32 |
| iree_linalg_ext.yield %0 : i1 |
| } -> tensor<?x?xf32>, tensor<?x?xi32> |
| return %0#0, %0#1 : tensor<?x?xf32>, tensor<?x?xi32> |
| } |
| // CHECK-LABEL: func.func @topk_dynamic_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<?x?xi32> |
| // CHECK-SAME: %[[ARG2:[a-zA-Z0-9]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG3:[a-zA-Z0-9]+]]: tensor<?x?xi32> |
| // CHECK: %[[RESULT:.+]]:2 = iree_linalg_ext.topk |
| // CHECK-SAME: dimension(1) |
| // CHECK-SAME: ins(%[[ARG0]], %[[ARG1]] |
| // CHECK-SAME: outs(%[[ARG2]], %[[ARG3]] |
| // CHECK: iree_linalg_ext.yield |
| // CHECK: return %[[RESULT]]#0, %[[RESULT]]#1 |
| |
| // ----- |
| |
| func.func @topk_tensor_optional(%input_values: tensor<20x10x8x4xf32>) -> (tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32>) { |
| %out_values = tensor.empty() : tensor<20x10x3x4xf32> |
| %out_indices = tensor.empty() : tensor<20x10x3x4xi32> |
| %0:2 = iree_linalg_ext.topk |
| dimension(2) |
| ins(%input_values : tensor<20x10x8x4xf32>) |
| outs(%out_values, %out_indices : tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32>) { |
| ^bb0(%arg0: f32, %arg1: f32): // no predecessors |
| %0 = arith.cmpf ogt, %arg0, %arg1 : f32 |
| iree_linalg_ext.yield %0 : i1 |
| } -> tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32> |
| return %0#0, %0#1 : tensor<20x10x3x4xf32>, tensor<20x10x3x4xi32> |
| } |
| |
| // CHECK-LABEL: func.func @topk_tensor |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<20x10x8x4xf32> |
| // CHECK: %[[OUT_VALUES:.+]] = tensor.empty() |
| // CHECK: %[[OUT_INDICES:.+]] = tensor.empty() |
| // CHECK: %[[RESULT:.+]]:2 = iree_linalg_ext.topk |
| // CHECK-SAME: dimension(2) |
| // CHECK-SAME: ins(%[[ARG0]] |
| // CHECK-SAME: outs(%[[OUT_VALUES]], %[[OUT_INDICES]] |
| // CHECK: iree_linalg_ext.yield |
| // CHECK: return %[[RESULT]]#0, %[[RESULT]]#1 |
| |
| // ----- |
| |
| func.func @pack(%arg0: tensor<3x3xf32>, %arg1: tensor<3x3x1x1xf32>) -> tensor<3x3x1x1xf32> { |
| %1 = iree_linalg_ext.pack %arg0 inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %arg1 : (tensor<3x3xf32> tensor<3x3x1x1xf32>) -> tensor<3x3x1x1xf32> |
| return %1 : tensor<3x3x1x1xf32> |
| } |
| |
| // CHECK: func.func @pack( |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<3x3xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<3x3x1x1xf32>) -> tensor<3x3x1x1xf32> |
| // CHECK: %[[RES:.*]] = iree_linalg_ext.pack %[[ARG0]] inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %[[ARG1]] : (tensor<3x3xf32> tensor<3x3x1x1xf32>) -> tensor<3x3x1x1xf32> |
| // CHECK: return %[[RES]] : tensor<3x3x1x1xf32> |
| |
| // ----- |
| |
| func.func @pack(%arg0: memref<3x3xf32>, %arg1: memref<3x3x1x1xf32>) { |
| iree_linalg_ext.pack %arg0 inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %arg1 : (memref<3x3xf32> memref<3x3x1x1xf32>) |
| return |
| } |
| |
| // CHECK: func.func @pack( |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<3x3xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<3x3x1x1xf32>) { |
| // CHECK: iree_linalg_ext.pack %[[ARG0]] inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %[[ARG1]] : (memref<3x3xf32> memref<3x3x1x1xf32>) |
| |
| // ----- |
| |
| func.func @extra_pad_and_pack(%input: tensor<13x15xf32>, %output: tensor<3x8x8x2xf32>, %pad: f32) -> tensor<3x8x8x2xf32> { |
| // expected-error@+1 {{infered type do not match provided output type. Expected 'tensor<2x8x8x2xf32>' but got: 'tensor<3x8x8x2xf32>}} |
| %0 = iree_linalg_ext.pack %input padding_value(%pad: f32) inner_dims_pos = [0, 1] inner_tiles = [8, 2] into %output : (tensor<13x15xf32> tensor<3x8x8x2xf32>) -> tensor<3x8x8x2xf32> |
| return %0 : tensor<3x8x8x2xf32> |
| } |
| // CHECK: func @extra_pad_and_pack( |
| // CHECK-SAME: %[[INPUT:.+]]: tensor<13x15xf32> |
| // CHECK-SAME: %[[OUTPUT:.+]]: tensor<3x8x8x2xf32> |
| // CHECK-SAME: %[[PAD:.+]]: f32 |
| // CHECK: %[[RES:.+]] = iree_linalg_ext.pack %[[INPUT]] |
| // CHECK-SAME: padding_value(%[[PAD]] : f32) |
| // CHECK-SAME: inner_dims_pos = [0, 1] |
| // CHECK-SAME: inner_tiles = [8, 2] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[RES]] |
| |
| // ----- |
| |
| func.func @pad_and_pack_static(%input: tensor<13x15xf32>, %output: tensor<2x8x8x2xf32>, %pad: f32) -> tensor<2x8x8x2xf32> { |
| %0 = iree_linalg_ext.pack %input padding_value(%pad : f32) inner_dims_pos = [0, 1] inner_tiles = [8, 2] into %output : (tensor<13x15xf32> tensor<2x8x8x2xf32>) -> tensor<2x8x8x2xf32> |
| return %0 : tensor<2x8x8x2xf32> |
| } |
| // CHECK: func.func @pad_and_pack_static |
| // CHECK-SAME: %[[INPUT:[a-zA-Z0-9_]+]]: tensor<13x15xf32> |
| // CHECK-SAME: %[[OUTPUT:[a-zA-Z0-9_]+]]: tensor<2x8x8x2xf32> |
| // CHECK-SAME: %[[PAD:[a-zA-Z0-9_]+]]: f32 |
| // CHECK: %[[RES:.+]] = iree_linalg_ext.pack %[[INPUT]] |
| // CHECK-SAME: padding_value(%[[PAD]] : f32) |
| // CHECK-SAME: inner_dims_pos = [0, 1] |
| // CHECK-SAME: inner_tiles = [8, 2] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[RES]] |
| |
| // ----- |
| |
| func.func @pad_and_pack_partially_dynamic(%input: tensor<?x?xf32>, %output: tensor<?x?x8x2xf32>, %pad: f32) -> tensor<?x?x8x2xf32> { |
| %0 = iree_linalg_ext.pack %input padding_value(%pad : f32) inner_dims_pos = [0, 1] inner_tiles = [8, 2] into %output : (tensor<?x?xf32> tensor<?x?x8x2xf32>) -> tensor<?x?x8x2xf32> |
| return %0 : tensor<?x?x8x2xf32> |
| } |
| // CHECK: func.func @pad_and_pack_partially_dynamic |
| // CHECK-SAME: %[[INPUT:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[OUTPUT:[a-zA-Z0-9_]+]]: tensor<?x?x8x2xf32> |
| // CHECK-SAME: %[[PAD:[a-zA-Z0-9_]+]]: f32 |
| // CHECK: %[[RES:.+]] = iree_linalg_ext.pack %[[INPUT]] |
| // CHECK-SAME: padding_value(%[[PAD]] : f32) |
| // CHECK-SAME: inner_dims_pos = [0, 1] |
| // CHECK-SAME: inner_tiles = [8, 2] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[RES]] |
| |
| // ----- |
| |
| func.func @pad_and_pack_fully_dynamic(%input: tensor<?x?xf32>, %output: tensor<?x?x?x?xf32>, %pad: f32, %tile_n : index, %tile_m : index) -> tensor<?x?x?x?xf32> { |
| %0 = iree_linalg_ext.pack %input padding_value(%pad : f32) |
| inner_dims_pos = [0, 1] inner_tiles = [%tile_n, %tile_m] into %output : (tensor<?x?xf32> tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> |
| return %0 : tensor<?x?x?x?xf32> |
| } |
| // CHECK: func.func @pad_and_pack_fully_dynamic |
| // CHECK-SAME: %[[INPUT:[a-zA-Z0-9_]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[OUTPUT:[a-zA-Z0-9_]+]]: tensor<?x?x?x?xf32> |
| // CHECK-SAME: %[[PAD:[a-zA-Z0-9_]+]]: f32 |
| // CHECK-SAME: %[[TILE_N:[a-zA-Z0-9_]+]]: index |
| // CHECK-SAME: %[[TILE_M:[a-zA-Z0-9_]+]]: index |
| // CHECK: %[[RES:.+]] = iree_linalg_ext.pack %[[INPUT]] |
| // CHECK-SAME: padding_value(%[[PAD]] : f32) |
| // CHECK-SAME: inner_dims_pos = [0, 1] |
| // CHECK-SAME: inner_tiles = [%[[TILE_N]], %[[TILE_M]]] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[RES]] |
| |
| // ----- |
| |
| func.func @unpack(%arg0: memref<3x3xf32>, %arg1: memref<3x3x1x1xf32>) { |
| iree_linalg_ext.unpack %arg1 inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %arg0 : (memref<3x3x1x1xf32> memref<3x3xf32>) |
| return |
| } |
| |
| // CHECK: func.func @unpack( |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<3x3xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<3x3x1x1xf32>) { |
| // CHECK: iree_linalg_ext.unpack %[[ARG1]] inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %[[ARG0]] : (memref<3x3x1x1xf32> memref<3x3xf32>) |
| |
| // ----- |
| |
| func.func @unpack_static(%input: tensor<8x8x32x16xf32>, %output: tensor<256x128xf32>) -> tensor<256x128xf32> { |
| %0 = iree_linalg_ext.unpack %input inner_dims_pos = [0, 1] inner_tiles = [32, 16] into %output : (tensor<8x8x32x16xf32> tensor<256x128xf32>) -> tensor<256x128xf32> |
| return %0 : tensor<256x128xf32> |
| } |
| |
| // CHECK: func.func @unpack_static |
| // CHECK-SAME: %[[INPUT:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[OUTPUT:[a-zA-Z0-9_]+]] |
| // CHECK: %[[UNPACK:.+]] = iree_linalg_ext.unpack |
| // CHECK-SAME: %[[INPUT]] |
| // CHECK-SAME dim_pos = [0, 1] |
| // CHECK-SAME inner_pos = [32, 16] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[UNPACK]] |
| |
| // ----- |
| |
| func.func @unpack_undo_padding(%input: tensor<2x8x8x2xf32>, %output: tensor<13x15xf32>) -> tensor<13x15xf32> { |
| %0 = iree_linalg_ext.unpack %input inner_dims_pos = [0, 1] inner_tiles = [8, 2] into %output : (tensor<2x8x8x2xf32> tensor<13x15xf32>) -> tensor<13x15xf32> |
| return %0 : tensor<13x15xf32> |
| } |
| // CHECK: func.func @unpack_undo_padding |
| // CHECK-SAME: %[[INPUT:[a-zA-Z0-9_]+]] |
| // CHECK-SAME: %[[OUTPUT:[a-zA-Z0-9_]+]] |
| // CHECK: %[[UNPACK:.+]] = iree_linalg_ext.unpack |
| // CHECK-SAME: %[[INPUT]] |
| // CHECK-SAME dim_pos = [0, 1] |
| // CHECK-SAME inner_pos = [32, 16] |
| // CHECK-SAME: into %[[OUTPUT]] |
| // CHECK: return %[[UNPACK]] |
| |
| // ----- |
| |
| func.func @unpack(%arg0: memref<3x3xf32>, %arg1: memref<3x3x1x1xf32>) { |
| iree_linalg_ext.unpack %arg1 outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %arg0 : (memref<3x3x1x1xf32> memref<3x3xf32>) |
| return |
| } |
| |
| // CHECK: func.func @unpack( |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<3x3xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<3x3x1x1xf32>) { |
| // CHECK: iree_linalg_ext.unpack %[[ARG1]] outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [1, 1] into %[[ARG0]] : (memref<3x3x1x1xf32> memref<3x3xf32>) |
| |
| // ----- |
| |
| func.func @pack(%arg0: memref<128x256xf32>, %arg1: memref<32x4x32x8xf32>) { |
| iree_linalg_ext.pack %arg0 outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %arg1 : (memref<128x256xf32> memref<32x4x32x8xf32>) |
| return |
| } |
| |
| // CHECK: func.func @pack |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<128x256xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<32x4x32x8xf32>) { |
| // CHECK: iree_linalg_ext.pack %[[ARG0]] outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %[[ARG1]] : (memref<128x256xf32> memref<32x4x32x8xf32>) |
| |
| // ----- |
| |
| func.func @pack(%arg0: memref<128x256xf32>, %arg1: memref<4x32x32x8xf32>) { |
| iree_linalg_ext.pack %arg0 outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %arg1 : (memref<128x256xf32> memref<4x32x32x8xf32>) |
| return |
| } |
| |
| // CHECK: func.func @pack |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<128x256xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<4x32x32x8xf32>) { |
| // CHECK: iree_linalg_ext.pack %[[ARG0]] outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %[[ARG1]] : (memref<128x256xf32> memref<4x32x32x8xf32>) |
| |
| // ----- |
| |
| func.func @unpack(%arg0: memref<128x256xf32>, %arg1: memref<4x32x32x8xf32>) { |
| iree_linalg_ext.unpack %arg1 outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %arg0 : (memref<4x32x32x8xf32> memref<128x256xf32>) |
| return |
| } |
| |
| // CHECK: func.func @unpack |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<128x256xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<4x32x32x8xf32>) { |
| // CHECK: iree_linalg_ext.unpack %[[ARG1]] outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %[[ARG0]] : (memref<4x32x32x8xf32> memref<128x256xf32>) |
| |
| // ----- |
| |
| func.func @unpack(%arg0: memref<128x256xf32>, %arg1: memref<32x4x32x8xf32>) { |
| iree_linalg_ext.unpack %arg1 outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %arg0 : (memref<32x4x32x8xf32> memref<128x256xf32>) |
| return |
| } |
| |
| // CHECK: func.func @unpack |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: memref<128x256xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: memref<32x4x32x8xf32>) { |
| // CHECK: iree_linalg_ext.unpack %[[ARG1]] outer_dims_perm = [1, 0] inner_dims_pos = [0, 1] inner_tiles = [32, 8] into %[[ARG0]] : (memref<32x4x32x8xf32> memref<128x256xf32>) |
| |
| // ----- |
| |
| // CHECK: @set_encoding_ops(%[[ARG0:.+]]: tensor<?x?xf32>) |
| func.func @set_encoding_ops(%arg0: tensor<?x?xf32>) -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> { |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| %0 = iree_linalg_ext.set_encoding %arg0 : tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| return %0 : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| } |
| |
| // ----- |
| |
| // CHECK: @set_encoding_ops_mixed_dynamic_static(%[[ARG0:.+]]: tensor<?x10xf32>) |
| func.func @set_encoding_ops_mixed_dynamic_static(%arg0: tensor<?x10xf32>) -> tensor<20x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> { |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x10xf32> -> tensor<20x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| %0 = iree_linalg_ext.set_encoding %arg0 : tensor<?x10xf32> -> tensor<20x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| return %0 : tensor<20x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| } |
| |
| // ----- |
| |
| // CHECK: @set_encoding_with_batch_matmul_user(%[[ARG0:.+]]: tensor<?x?x?xf32>) |
| func.func @set_encoding_with_batch_matmul_user(%arg0: tensor<?x?x?xf32>) { |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [i8, i8, i32]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [i8, i8, i32]>> |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f16, f16, f32]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f16, f16, f32]>> |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f16, f16, f16]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [f16, f16, f16]>> |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [bf16, bf16, f32]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [bf16, bf16, f32]>> |
| // CHECK: iree_linalg_ext.set_encoding %[[ARG0]] : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [bf16, bf16, bf16]>> |
| iree_linalg_ext.set_encoding %arg0 : tensor<?x?x?xf32> -> tensor<?x?x?xf32, #iree_linalg_ext.encoding<user = BATCH_MATMUL, role = LHS, element_types = [bf16, bf16, bf16]>> |
| return |
| } |
| |
| // ----- |
| |
| // CHECK: @unset_encoding_ops(%[[ARG0:.+]]: tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>>) |
| func.func @unset_encoding_ops(%arg0: tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>>) -> tensor<?x?xf32> { |
| // CHECK: iree_linalg_ext.unset_encoding %[[ARG0]] : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> -> tensor<?x?xf32> |
| %0 = iree_linalg_ext.unset_encoding %arg0 : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
| |
| // ----- |
| |
| // CHECK: @unset_encoding_ops_mixed_dynamic_static(%[[ARG0:.+]]: tensor<10x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>>) |
| func.func @unset_encoding_ops_mixed_dynamic_static(%arg0: tensor<10x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>>) -> tensor<?x20xf32> { |
| // CHECK: iree_linalg_ext.unset_encoding %[[ARG0]] : tensor<10x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> |
| %0 = iree_linalg_ext.unset_encoding %arg0 : tensor<10x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> -> tensor<?x20xf32> |
| return %0 : tensor<?x20xf32> |
| } |
| |
| // ----- |
| |
| func.func @encoding_tensors_with_ops(%arg0 : tensor<?x?xf32>, |
| %arg1 : tensor<?x?xf32>, %arg2 : tensor<?x?xf32>) -> tensor<?x?xf32> { |
| %0 = iree_linalg_ext.set_encoding %arg0 : tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| %1 = iree_linalg_ext.set_encoding %arg1 : tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> |
| %2 = iree_linalg_ext.set_encoding %arg2 : tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RESULT, element_types = [f32, f32, f32]>> |
| %3 = linalg.matmul |
| ins(%0, %1 : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>>, tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>>) |
| outs(%2 : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RESULT, element_types = [f32, f32, f32]>>) |
| -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RESULT, element_types = [f32, f32, f32]>> |
| %4 = iree_linalg_ext.unset_encoding %3 : tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RESULT, element_types = [f32, f32, f32]>> -> tensor<?x?xf32> |
| return %4 : tensor<?x?xf32> |
| } |
| // CHECK-LABEL: func.func @encoding_tensors_with_ops |
| // CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<?x?xf32> |
| // CHECK-SAME: %[[ARG2:[a-zA-Z0-9]+]]: tensor<?x?xf32> |
| // CHECK: %[[LHS:.+]] = iree_linalg_ext.set_encoding %[[ARG0]] |
| // CHECK-SAME: tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = LHS, element_types = [f32, f32, f32]>> |
| // CHECK: %[[RHS:.+]] = iree_linalg_ext.set_encoding %[[ARG1]] |
| // CHECK-SAME: tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RHS, element_types = [f32, f32, f32]>> |
| // CHECK: %[[OUT:.+]] = iree_linalg_ext.set_encoding %[[ARG2]] |
| // CHECK-SAME: tensor<?x?xf32> -> tensor<?x?xf32, #iree_linalg_ext.encoding<user = MATMUL, role = RESULT, element_types = [f32, f32, f32]>> |
| // CHECK: %[[GEMM:.+]] = linalg.matmul |
| // CHECK-SAME: ins(%[[LHS]], %[[RHS]] : |
| // CHECK-SAME: outs(%[[OUT]] : |
| // CHECK: %[[RESULT:.+]] = iree_linalg_ext.unset_encoding %[[GEMM]] |
| // CHECK: return %[[RESULT]] |
| |
| // ----- |
| |
| func.func @winograd_input_transform(%arg0: tensor<1x10x10x1280xf32>) -> tensor<8x8x1x2x2x1280xf32> { |
| %0 = tensor.empty() : tensor<8x8x1x2x2x1280xf32> |
| %1 = iree_linalg_ext.winograd.input_transform output_tile_size(6) kernel_size(3) image_dimensions([1, 2]) |
| ins(%arg0 : tensor<1x10x10x1280xf32>) outs(%0 : tensor<8x8x1x2x2x1280xf32>) -> tensor<8x8x1x2x2x1280xf32> |
| return %1 : tensor<8x8x1x2x2x1280xf32> |
| } |
| // CHECK: func.func @winograd_input_transform(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<1x10x10x1280xf32>) -> |
| // CHECK-SAME: tensor<8x8x1x2x2x1280xf32> { |
| // CHECK: %[[D0:.+]] = tensor.empty() : tensor<8x8x1x2x2x1280xf32> |
| // CHECK: %[[D1:.+]] = iree_linalg_ext.winograd.input_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([1, 2]) ins(%[[ARG0]] : tensor<1x10x10x1280xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<8x8x1x2x2x1280xf32>) -> tensor<8x8x1x2x2x1280xf32> |
| // CHECK: return %[[D1]] : tensor<8x8x1x2x2x1280xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @winograd_input_transform_dynamic(%arg0: tensor<?x?x?x?xf32>, %arg1: tensor<8x8x?x?x?x?xf32>) -> tensor<8x8x?x?x?x?xf32> { |
| %1 = iree_linalg_ext.winograd.input_transform |
| output_tile_size(6) kernel_size(3) image_dimensions([1, 2]) |
| ins(%arg0 : tensor<?x?x?x?xf32>) outs(%arg1 : tensor<8x8x?x?x?x?xf32>) -> tensor<8x8x?x?x?x?xf32> |
| return %1 : tensor<8x8x?x?x?x?xf32> |
| } |
| // CHECK: func.func @winograd_input_transform_dynamic(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<?x?x?x?xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]: tensor<8x8x?x?x?x?xf32>) -> tensor<8x8x?x?x?x?xf32> { |
| // CHECK: %[[D0:.+]] = iree_linalg_ext.winograd.input_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([1, 2]) ins(%[[ARG0]] : tensor<?x?x?x?xf32>) outs(%[[ARG1]] : |
| // CHECK-SAME: tensor<8x8x?x?x?x?xf32>) -> tensor<8x8x?x?x?x?xf32> |
| // CHECK: return %[[D0]] : tensor<8x8x?x?x?x?xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @winograd_output_transform(%arg0: tensor<8x8x1x2x2x1280xf32>) -> tensor<1x12x12x1280xf32> { |
| %0 = tensor.empty() : tensor<1x12x12x1280xf32> |
| %1 = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) image_dimensions([1, 2]) |
| ins(%arg0 : tensor<8x8x1x2x2x1280xf32>) outs(%0 : tensor<1x12x12x1280xf32>) -> tensor<1x12x12x1280xf32> |
| return %1 : tensor<1x12x12x1280xf32> |
| } |
| // CHECK: func.func @winograd_output_transform(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<8x8x1x2x2x1280xf32>) -> |
| // CHECK-SAME: tensor<1x12x12x1280xf32> { |
| // CHECK: %[[D0:.+]] = tensor.empty() : tensor<1x12x12x1280xf32> |
| // CHECK: %[[D1:.+]] = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([1, 2]) ins(%[[ARG0]] : tensor<8x8x1x2x2x1280xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<1x12x12x1280xf32>) -> tensor<1x12x12x1280xf32> |
| // CHECK: return %[[D1]] : tensor<1x12x12x1280xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @winograd_output_transform(%arg0: tensor<8x8x?x?x?x?xf32>, %arg1: tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> { |
| %1 = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) image_dimensions([1, 2]) |
| ins(%arg0 : tensor<8x8x?x?x?x?xf32>) outs(%arg1 : tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> |
| return %1 : tensor<?x?x?x?xf32> |
| } |
| // CHECK: func.func @winograd_output_transform(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<8x8x?x?x?x?xf32>, |
| // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]: tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> { |
| // CHECK: %[[D0:.+]] = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([1, 2]) ins(%[[ARG0]] : tensor<8x8x?x?x?x?xf32>) outs(%[[ARG1]] : |
| // CHECK-SAME: tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> |
| // CHECK: return %[[D0]] : tensor<?x?x?x?xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @winograd_input_transform_nchw(%arg0: tensor<1x1280x10x10xf32>) -> tensor<8x8x1x2x2x1280xf32> { |
| %0 = tensor.empty() : tensor<8x8x1x2x2x1280xf32> |
| %1 = iree_linalg_ext.winograd.input_transform output_tile_size(6) kernel_size(3) image_dimensions([2, 3]) |
| ins(%arg0 : tensor<1x1280x10x10xf32>) outs(%0 : tensor<8x8x1x2x2x1280xf32>) -> tensor<8x8x1x2x2x1280xf32> |
| return %1 : tensor<8x8x1x2x2x1280xf32> |
| } |
| // CHECK: func.func @winograd_input_transform_nchw(%[[ARG0]]: tensor<1x1280x10x10xf32>) -> |
| // CHECK-SAME: tensor<8x8x1x2x2x1280xf32> { |
| // CHECK: %[[D0]] = tensor.empty() : tensor<8x8x1x2x2x1280xf32> |
| // CHECK: %[[D1]] = iree_linalg_ext.winograd.input_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([2, 3]) ins(%[[ARG0]] : tensor<1x1280x10x10xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<8x8x1x2x2x1280xf32>) -> tensor<8x8x1x2x2x1280xf32> |
| // CHECK: return %[[D1]] : tensor<8x8x1x2x2x1280xf32> |
| // CHECK: } |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @winograd_output_transform_nchw(%arg0: tensor<8x8x1x2x2x1280xf32>) -> tensor<1x1280x12x12xf32> { |
| %0 = tensor.empty() : tensor<1x1280x12x12xf32> |
| %1 = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) image_dimensions([2, 3]) |
| ins(%arg0 : tensor<8x8x1x2x2x1280xf32>) outs(%0 : tensor<1x1280x12x12xf32>) -> tensor<1x1280x12x12xf32> |
| return %1 : tensor<1x1280x12x12xf32> |
| } |
| // CHECK: func.func @winograd_output_transform_nchw(%[[ARG0]]: tensor<8x8x1x2x2x1280xf32>) -> |
| // CHECK-SAME: tensor<1x1280x12x12xf32> { |
| // CHECK: %[[D0]] = tensor.empty() : tensor<1x1280x12x12xf32> |
| // CHECK: %[[D1]] = iree_linalg_ext.winograd.output_transform output_tile_size(6) kernel_size(3) |
| // CHECK-SAME: image_dimensions([2, 3]) ins(%[[ARG0]] : tensor<8x8x1x2x2x1280xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<1x1280x12x12xf32>) -> tensor<1x1280x12x12xf32> |
| // CHECK: return %[[D1]] : tensor<1x1280x12x12xf32> |
| // CHECK: } |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @softmax(%arg0: tensor<2x16x32xf32>) -> tensor<2x16x32xf32> { |
| %0 = tensor.empty() : tensor<2x16x32xf32> |
| %1 = linalg.softmax dimension(2) ins(%arg0 : tensor<2x16x32xf32>) outs(%0: tensor<2x16x32xf32>) -> tensor<2x16x32xf32> |
| return %1 : tensor<2x16x32xf32> |
| } |
| // CHECK: func.func @softmax(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<2x16x32xf32>) -> tensor<2x16x32xf32> { |
| // CHECK: %[[D0:.+]] = tensor.empty() : tensor<2x16x32xf32> |
| // CHECK: %[[D1:.+]] = linalg.softmax dimension(2) ins(%[[ARG0]] : tensor<2x16x32xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<2x16x32xf32>) -> tensor<2x16x32xf32> |
| // CHECK: return %[[D1]] : tensor<2x16x32xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @attention(%query: tensor<192x1024x64xf32>, %key: tensor<192x1024x64xf32>, %value: tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> { |
| %0 = tensor.empty() : tensor<192x1024x64xf32> |
| %1 = iree_linalg_ext.attention ins(%query, %key, %value : tensor<192x1024x64xf32>, tensor<192x1024x64xf32>, tensor<192x1024x64xf32>) outs(%0 : tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> |
| return %1 : tensor<192x1024x64xf32> |
| } |
| // CHECK: func.func @attention(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<192x1024x64xf32>, %[[ARG1:[a-zA-Z0-9_]+]]: |
| // CHECK-SAME: tensor<192x1024x64xf32>, %[[ARG2:[a-zA-Z0-9_]+]]: tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> |
| // CHECK-SAME: { |
| // CHECK: %[[D0:.+]] = tensor.empty() : tensor<192x1024x64xf32> |
| // CHECK: %[[D1:.+]] = iree_linalg_ext.attention ins(%[[ARG0]], %[[ARG1]], %[[ARG2]] : |
| // CHECK-SAME: tensor<192x1024x64xf32>, tensor<192x1024x64xf32>, tensor<192x1024x64xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> |
| // CHECK: return %[[D1]] : tensor<192x1024x64xf32> |
| // CHECK: } |
| |
| // ----- |
| |
| func.func @cross_attention(%query: tensor<192x1024x64xf32>, %key: tensor<192x2048x64xf32>, %value: tensor<192x2048x64xf32>) -> tensor<192x1024x64xf32> { |
| %0 = tensor.empty() : tensor<192x1024x64xf32> |
| %1 = iree_linalg_ext.attention ins(%query, %key, %value : tensor<192x1024x64xf32>, tensor<192x2048x64xf32>, tensor<192x2048x64xf32>) outs(%0 : tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> |
| return %1 : tensor<192x1024x64xf32> |
| } |
| // CHECK: func.func @cross_attention(%[[ARG0:[a-zA-Z0-9_]+]]: tensor<192x1024x64xf32>, %[[ARG1:[a-zA-Z0-9_]+]]: |
| // CHECK-SAME: tensor<192x2048x64xf32>, %[[ARG2:[a-zA-Z0-9_]+]]: tensor<192x2048x64xf32>) -> tensor<192x1024x64xf32> |
| // CHECK-SAME: { |
| // CHECK: %[[D0:.+]] = tensor.empty() : tensor<192x1024x64xf32> |
| // CHECK: %[[D1:.+]] = iree_linalg_ext.attention ins(%[[ARG0]], %[[ARG1]], %[[ARG2]] : |
| // CHECK-SAME: tensor<192x1024x64xf32>, tensor<192x2048x64xf32>, tensor<192x2048x64xf32>) outs(%[[D0]] : |
| // CHECK-SAME: tensor<192x1024x64xf32>) -> tensor<192x1024x64xf32> |
| // CHECK: return %[[D1]] : tensor<192x1024x64xf32> |
| // CHECK: } |
