derek.holloway
7502bf64a4
CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
107 lines
6.0 KiB
MLIR
107 lines
6.0 KiB
MLIR
//--------------------------------------------------------
|
|
// Check operations when the dynamic extension is enabled.
|
|
//--------------------------------------------------------
|
|
|
|
// RUN: mlir-opt %s -split-input-file -verify-diagnostics -tosa-attach-target="specification_version=1.1.draft profiles=pro_int,pro_fp extensions=dynamic,shape" -tosa-validate="strict-op-spec-alignment allow-invalid-op-datatype-combinations"
|
|
|
|
// -----
|
|
|
|
func.func @test_mul_non_const(%arg0: tensor<13x21x3xi8>, %arg1: tensor<13x1x3xi8>, %shift: tensor<1xi8>) -> tensor<13x21x3xi16> {
|
|
%0 = tosa.mul %arg0, %arg1, %shift : (tensor<13x21x3xi8>, tensor<13x1x3xi8>, tensor<1xi8>) -> tensor<13x21x3xi16>
|
|
return %0 : tensor<13x21x3xi16>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_table_non_const(%arg0 : tensor<4x5xi8>, %arg1 : tensor<256xi8>) -> () {
|
|
%0 = tosa.table %arg0, %arg1 : (tensor<4x5xi8>, tensor<256xi8>) -> tensor<4x5xi8>
|
|
return
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_pad_non_const(%arg0: tensor<13x21x3xi8>, %arg1: tensor<1xi8>) -> tensor<13x22x4xi8> {
|
|
%0 = tosa.const_shape {values = dense<[0, 0, 0, 1, 0, 1]> : tensor<6xindex>} : () -> !tosa.shape<6>
|
|
%1 = tosa.pad %arg0, %0, %arg1 : (tensor<13x21x3xi8>, !tosa.shape<6>, tensor<1xi8>) -> tensor<13x22x4xi8>
|
|
return %1 : tensor<13x22x4xi8>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_rescale_non_const_multiplier(%arg0: tensor<13x21x3xi32>, %multiplier: tensor<1xi32>) -> tensor<13x21x3xi32> {
|
|
%zps = "tosa.const"() {values = dense<0> : tensor<1xi32> } : () -> tensor<1xi32>
|
|
%shift = "tosa.const"() {values = dense<30> : tensor<1xi8> } : () -> tensor<1xi8>
|
|
%0 = tosa.rescale %arg0, %multiplier, %shift, %zps, %zps {rounding_mode = SINGLE_ROUND, per_channel = false, scale32 = true, input_unsigned = false, output_unsigned = false} : (tensor<13x21x3xi32>, tensor<1xi32>, tensor<1xi8>, tensor<1xi32>, tensor<1xi32>) -> tensor<13x21x3xi32>
|
|
return %0 : tensor<13x21x3xi32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_rescale_non_const_shift(%arg0: tensor<13x21x3xi32>, %shift: tensor<1xi8>) -> tensor<13x21x3xi32> {
|
|
%zps = "tosa.const"() {values = dense<0> : tensor<1xi32> } : () -> tensor<1xi32>
|
|
%multiplier = "tosa.const"() {values = dense<1073741824> : tensor<1xi32> } : () -> tensor<1xi32>
|
|
%0 = tosa.rescale %arg0, %multiplier, %shift, %zps, %zps {rounding_mode = SINGLE_ROUND, per_channel = false, scale32 = true, input_unsigned = false, output_unsigned = false} : (tensor<13x21x3xi32>, tensor<1xi32>, tensor<1xi8>, tensor<1xi32>, tensor<1xi32>) -> tensor<13x21x3xi32>
|
|
return %0 : tensor<13x21x3xi32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_rescale_non_const_input_zp(%arg0: tensor<13x21x3xi32>, %input_zp: tensor<1xi32>) -> tensor<13x21x3xi32> {
|
|
%multiplier = "tosa.const"() {values = dense<1073741824> : tensor<1xi32> } : () -> tensor<1xi32>
|
|
%shift = "tosa.const"() {values = dense<30> : tensor<1xi8> } : () -> tensor<1xi8>
|
|
%output_zp = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32>
|
|
%0 = tosa.rescale %arg0, %multiplier, %shift, %input_zp, %output_zp {scale32 = true, rounding_mode = SINGLE_ROUND, per_channel = false, input_unsigned = false, output_unsigned = false} : (tensor<13x21x3xi32>, tensor<1xi32>, tensor<1xi8>, tensor<1xi32>, tensor<1xi32>) -> tensor<13x21x3xi32>
|
|
return %0 : tensor<13x21x3xi32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_rescale_non_const_output_zp(%arg0: tensor<13x21x3xi32>, %output_zp: tensor<1xi32>) -> tensor<13x21x3xi32> {
|
|
%multiplier = "tosa.const"() {values = dense<1073741824> : tensor<1xi32> } : () -> tensor<1xi32>
|
|
%shift = "tosa.const"() {values = dense<30> : tensor<1xi8> } : () -> tensor<1xi8>
|
|
%input_zp = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32>
|
|
%0 = tosa.rescale %arg0, %multiplier, %shift, %input_zp, %output_zp {scale32 = true, rounding_mode = SINGLE_ROUND, per_channel = false, input_unsigned = false, output_unsigned = false} : (tensor<13x21x3xi32>, tensor<1xi32>, tensor<1xi8>, tensor<1xi32>, tensor<1xi32>) -> tensor<13x21x3xi32>
|
|
return %0 : tensor<13x21x3xi32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_matmul_non_const_zps(%arg0: tensor<1x14x19xf32>, %arg1: tensor<1x19x28xf32>, %a_zp: tensor<1xf32>, %b_zp: tensor<1xf32>) -> tensor<1x14x28xf32> {
|
|
%0 = tosa.matmul %arg0, %arg1, %a_zp, %b_zp : (tensor<1x14x19xf32>, tensor<1x19x28xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x14x28xf32>
|
|
return %0 : tensor<1x14x28xf32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_negate_non_const_zps(%arg0: tensor<1xf32>, %input1_zp: tensor<1xf32>, %output_zp: tensor<1xf32>) -> tensor<1xf32> {
|
|
%0 = tosa.negate %arg0, %input1_zp, %output_zp {} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
|
|
return %0 : tensor<1xf32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_avg_pool2d_non_const_zps(%arg0: tensor<1x32x32x8xf32>, %input_zp: tensor<1xf32>, %output_zp: tensor<1xf32>) -> tensor<1x32x32x8xf32> {
|
|
%0 = "tosa.avg_pool2d"(%arg0, %input_zp, %output_zp) {kernel = array<i64: 1, 1>, pad = array<i64: 0, 0, 0, 0>, stride = array<i64: 1, 1>, acc_type = f32} :
|
|
(tensor<1x32x32x8xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x32x32x8xf32>
|
|
return %0 : tensor<1x32x32x8xf32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_avg_pool2d_adaptive_non_const_zps(%arg0: tensor<1x32x32x8xf32>, %input_zp: tensor<1xf32>, %output_zp: tensor<1xf32>) -> tensor<1x32x32x8xf32> {
|
|
%kernel = tosa.const_shape {values = dense<[1, 1]> : tensor<2xindex>} : () -> !tosa.shape<2>
|
|
%stride = tosa.const_shape {values = dense<[1, 1]> : tensor<2xindex>} : () -> !tosa.shape<2>
|
|
%pad = tosa.const_shape {values = dense<[0, 0, 0, 0]> : tensor<4xindex>} : () -> !tosa.shape<4>
|
|
%0 = "tosa.avg_pool2d_adaptive"(%arg0, %input_zp, %output_zp, %kernel, %stride, %pad) {acc_type = f32} :
|
|
(tensor<1x32x32x8xf32>, tensor<1xf32>, tensor<1xf32>, !tosa.shape<2>, !tosa.shape<2>, !tosa.shape<4>) -> tensor<1x32x32x8xf32>
|
|
return %0 : tensor<1x32x32x8xf32>
|
|
}
|
|
|
|
// -----
|
|
|
|
func.func @test_slice_shape_non_const_start_size(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) {
|
|
%0 = tosa.const_shape {values = dense<[4, 5, 6, 7, 8, 9]> : tensor<6xindex>} : () -> !tosa.shape<6>
|
|
%3 = tosa.slice_shape %0, %arg0, %arg1 : (!tosa.shape<6>, tensor<1xi32>, tensor<1xi32>) -> !tosa.shape<3>
|
|
return
|
|
}
|