diff options
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h')
| -rw-r--r-- | tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h | 124 |
1 files changed, 73 insertions, 51 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h index 6498a06e03..ca4de11a15 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2022-2023 Arm Limited. + * Copyright (c) 2022-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,14 +21,13 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE -#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE +#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE_H #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" - #include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" #include "arm_compute/dynamic_fusion/sketch/attributes/DepthwiseConv2dAttributes.h" #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" @@ -36,13 +35,11 @@ #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h" #include "tests/CL/CLAccessor.h" - #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" #include "tests/framework/Macros.h" - -#include "tests/validation/Validation.h" #include "tests/validation/reference/DepthwiseConvolutionLayer.h" +#include "tests/validation/Validation.h" using namespace arm_compute::experimental::dynamic_fusion; @@ -56,22 +53,30 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuDepthwiseConv2dValidationGenericFixture : public framework::Fixture { public: - using TBias = typename std::conditional < std::is_same<typename std::decay<T>::type, uint8_t>::value - || std::is_same<typename std::decay<T>::type, int8_t>::value, - int32_t, T >::type; // If T: uint8_t or int8_t then TBias: int32_t, otherwise TBias: T - - void setup(TensorShape input_shape, Size2D kernel_size, const PadStrideInfo &pad_stride, const Size2D &dilation, - const unsigned int depth_multiplier, const DataType data_type, const DataLayout data_layout) + using TBias = typename std::conditional<std::is_same<typename std::decay<T>::type, uint8_t>::value || + std::is_same<typename std::decay<T>::type, int8_t>::value, + int32_t, + T>::type; // If T: uint8_t or int8_t then TBias: int32_t, otherwise TBias: T + + void setup(TensorShape input_shape, + Size2D kernel_size, + const PadStrideInfo &pad_stride, + const Size2D &dilation, + const unsigned int depth_multiplier, + const DataType data_type, + const DataLayout data_layout) { - ARM_COMPUTE_ERROR_ON(data_layout != DataLayout::NHWC); // Dynamic fusion depthwise conv2d only supports NHWC layout + ARM_COMPUTE_ERROR_ON(data_layout != + DataLayout::NHWC); // Dynamic fusion depthwise conv2d only supports NHWC layout DepthwiseConv2dAttributes dwc_conv2d_attr; - const Padding2D padding_2d(pad_stride.pad_left(), pad_stride.pad_right(), pad_stride.pad_top(), pad_stride.pad_bottom()); + const Padding2D padding_2d(pad_stride.pad_left(), pad_stride.pad_right(), pad_stride.pad_top(), + pad_stride.pad_bottom()); dwc_conv2d_attr.pad(padding_2d) - .stride(Size2D(pad_stride.stride().first, pad_stride.stride().second)) - .dilation(dilation) - .depth_multiplier(depth_multiplier) - .dimension_rounding_type(pad_stride.round()); + .stride(Size2D(pad_stride.stride().first, pad_stride.stride().second)) + .dilation(dilation) + .depth_multiplier(depth_multiplier) + .dimension_rounding_type(pad_stride.round()); // Calculate Output and Weight Shapes TensorShape weights_shape = TensorShape(kernel_size.width, kernel_size.height); @@ -79,8 +84,9 @@ public: const TensorInfo in_info(input_shape, 1, data_type); const TensorInfo we_info(weights_shape, 1, data_type); - const ConvolutionInfo info{ pad_stride, depth_multiplier, ActivationLayerInfo(), dilation }; - const TensorShape output_shape = misc::shape_calculator::compute_depthwise_convolution_shape(in_info, we_info, info); + const ConvolutionInfo info{pad_stride, depth_multiplier, ActivationLayerInfo(), dilation}; + const TensorShape output_shape = + misc::shape_calculator::compute_depthwise_convolution_shape(in_info, we_info, info); weights_shape.set(2, output_shape.z()); const TensorShape bias_shape = TensorShape(weights_shape[2]); @@ -95,11 +101,11 @@ protected: template <typename U> void fill(U &&tensor, int i) { - switch(tensor.data_type()) + switch (tensor.data_type()) { case DataType::F16: { - arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{-1.0f, 1.0f}; library->fill(tensor, distribution, i); break; } @@ -115,7 +121,10 @@ protected: } // Given input is in nchw format - TensorType compute_target(TensorShape input_shape, TensorShape weights_shape, const TensorShape &bias_shape, const DepthwiseConv2dAttributes dwc_conv2d_attr) + TensorType compute_target(TensorShape input_shape, + TensorShape weights_shape, + const TensorShape &bias_shape, + const DepthwiseConv2dAttributes dwc_conv2d_attr) { ARM_COMPUTE_ERROR_ON(_data_layout != DataLayout::NHWC); @@ -125,24 +134,24 @@ protected: // Create a new workload sketch auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); - auto context = GpuWorkloadContext{ &cl_compile_ctx }; - GpuWorkloadSketch sketch{ &context }; + auto context = GpuWorkloadContext{&cl_compile_ctx}; + GpuWorkloadSketch sketch{&context}; // Create sketch tensors - TensorInfo input_info = context.create_tensor_info(TensorInfo(input_shape, 1, _data_type, _data_layout)); - TensorInfo weight_info = context.create_tensor_info(TensorInfo(weights_shape, 1, _data_type, _data_layout)); - TensorInfo bias_info = context.create_tensor_info(TensorInfo(bias_shape, 1, _data_type, _data_layout)); - TensorInfo dst_info = context.create_tensor_info(); + ITensorInfo *input_info = context.create_tensor_info(TensorInfo(input_shape, 1, _data_type, _data_layout)); + ITensorInfo *weight_info = context.create_tensor_info(TensorInfo(weights_shape, 1, _data_type, _data_layout)); + ITensorInfo *bias_info = context.create_tensor_info(TensorInfo(bias_shape, 1, _data_type, _data_layout)); + ITensorInfo *dst_info = context.create_tensor_info(); - ITensorInfo *ans_info = FunctionType::create_op(sketch, &input_info, &weight_info, &bias_info, dwc_conv2d_attr); - GpuOutput::create_op(sketch, ans_info, &dst_info); + ITensorInfo *ans_info = FunctionType::create_op(sketch, input_info, weight_info, bias_info, dwc_conv2d_attr); + GpuOutput::create_op(sketch, ans_info, dst_info); // Configure runtime ClWorkloadRuntime runtime; runtime.configure(sketch); // (Important) Allocate auxiliary tensor memory if there are any - for(auto &data : runtime.get_auxiliary_tensors()) + for (auto &data : runtime.get_auxiliary_tensors()) { CLTensor *tensor = std::get<0>(data); TensorInfo info = std::get<1>(data); @@ -158,10 +167,10 @@ protected: TensorType t_dst{}; // Initialize user tensors - t_input.allocator()->init(input_info); - t_weight.allocator()->init(weight_info); - t_bias.allocator()->init(bias_info); - t_dst.allocator()->init(dst_info); + t_input.allocator()->init(*input_info); + t_weight.allocator()->init(*weight_info); + t_bias.allocator()->init(*bias_info); + t_dst.allocator()->init(*dst_info); // Allocate and fill user tensors t_input.allocator()->allocate(); @@ -174,17 +183,20 @@ protected: fill(AccessorType(t_bias), 2); // Run runtime - runtime.run({ &t_input, &t_weight, &t_bias, &t_dst }); + runtime.run({&t_input, &t_weight, &t_bias, &t_dst}); return t_dst; } - SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, - const TensorShape &output_shape, DepthwiseConv2dAttributes dwc_conv2d_attr) + SimpleTensor<T> compute_reference(const TensorShape &input_shape, + const TensorShape &weights_shape, + const TensorShape &bias_shape, + const TensorShape &output_shape, + DepthwiseConv2dAttributes dwc_conv2d_attr) { // Create reference - SimpleTensor<T> src{ input_shape, _data_type, 1 }; - SimpleTensor<T> weight{ weights_shape, _data_type, 1 }; - SimpleTensor<TBias> bias{ bias_shape, _data_type, 1 }; + SimpleTensor<T> src{input_shape, _data_type, 1}; + SimpleTensor<T> weight{weights_shape, _data_type, 1}; + SimpleTensor<TBias> bias{bias_shape, _data_type, 1}; fill(src, 0); fill(weight, 1); @@ -195,10 +207,13 @@ protected: auto bias_nchw = bias; auto output_shape_nchw = output_shape; - PadStrideInfo legacy_pad_stride(dwc_conv2d_attr.stride().x(), dwc_conv2d_attr.stride().y(), dwc_conv2d_attr.pad().left, dwc_conv2d_attr.pad().right, dwc_conv2d_attr.pad().top, - dwc_conv2d_attr.pad().bottom, + PadStrideInfo legacy_pad_stride(dwc_conv2d_attr.stride().x(), dwc_conv2d_attr.stride().y(), + dwc_conv2d_attr.pad().left, dwc_conv2d_attr.pad().right, + dwc_conv2d_attr.pad().top, dwc_conv2d_attr.pad().bottom, DimensionRoundingType{}); - auto dst_nchw = reference::depthwise_convolution(src_nchw, weights_nchw, bias_nchw, output_shape_nchw, legacy_pad_stride, dwc_conv2d_attr.depth_multiplier(), dwc_conv2d_attr.dilation()); + auto dst_nchw = + reference::depthwise_convolution(src_nchw, weights_nchw, bias_nchw, output_shape_nchw, legacy_pad_stride, + dwc_conv2d_attr.depth_multiplier(), dwc_conv2d_attr.dilation()); return dst_nchw; } @@ -209,16 +224,23 @@ protected: }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionGpuDepthwiseConv2dValidationFixture : public DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionGpuDepthwiseConv2dValidationFixture + : public DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(TensorShape input_shape, Size2D kernel_size, const PadStrideInfo &info, const Size2D &dilation, const unsigned int depth_multiplier, DataType data_type, DataLayout data_layout) + void setup(TensorShape input_shape, + Size2D kernel_size, + const PadStrideInfo &info, + const Size2D &dilation, + const unsigned int depth_multiplier, + DataType data_type, + DataLayout data_layout) { - DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, kernel_size, info, dilation, - depth_multiplier, data_type, data_layout); + DynamicFusionGpuDepthwiseConv2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( + input_shape, kernel_size, info, dilation, depth_multiplier, data_type, data_layout); } }; } // namespace validation } // namespace test } // namespace arm_compute -#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE */ +#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_DEPTHWISECONV2DFIXTURE_H |