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Diffstat (limited to 'tests/validation/fixtures/DirectConvolution3DFixture.h')
| -rw-r--r-- | tests/validation/fixtures/DirectConvolution3DFixture.h | 189 |
1 files changed, 189 insertions, 0 deletions
diff --git a/tests/validation/fixtures/DirectConvolution3DFixture.h b/tests/validation/fixtures/DirectConvolution3DFixture.h new file mode 100644 index 0000000000..e80ad2f54f --- /dev/null +++ b/tests/validation/fixtures/DirectConvolution3DFixture.h @@ -0,0 +1,189 @@ +/* + * Copyright (c) 2021, 2023 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + +#ifndef ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H + +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "tests/framework/Asserts.h" // Required for ARM_COMPUTE_ASSERT +#include "tests/framework/Fixture.h" +#include "tests/validation/reference/ActivationLayer.h" +#include "tests/validation/reference/Conv3D.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +using namespace arm_compute::misc::shape_calculator; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DirectConvolution3DValidationGenericFixture : public framework::Fixture +{ +public: + using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type; + + void setup(const TensorShape &input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth, + unsigned int num_kernels, bool has_bias, const ActivationLayerInfo &act_info, const DataType &data_type, const DataLayout &data_layout, + const QuantizationInfo &src_qinfo = QuantizationInfo(), const QuantizationInfo &weights_qinfo = QuantizationInfo(), const QuantizationInfo &dst_qinfo = QuantizationInfo()) + { + ARM_COMPUTE_ERROR_ON(data_layout != DataLayout::NDHWC); + + const TensorShape weights_shape(num_kernels, input_shape[0], kernel_width, kernel_height, kernel_depth); + const TensorShape bias_shape(num_kernels); + const DataType bias_data_type = is_data_type_quantized(data_type) ? DataType::S32 : data_type; + const Conv3dInfo conv3d_info(Size3D(stride_x, stride_y, stride_z), Padding3D(pad_x, pad_y, pad_z), act_info, Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false); + const TensorShape output_shape = compute_conv3d_shape(input_shape, weights_shape, conv3d_info); + + _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, conv3d_info, has_bias, data_type, bias_data_type, data_layout, src_qinfo, weights_qinfo, dst_qinfo); + _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, conv3d_info, has_bias, data_type, bias_data_type, src_qinfo, weights_qinfo, dst_qinfo); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + switch(tensor.data_type()) + { + case DataType::F16: + { + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; + library->fill(tensor, distribution, i); + break; + } + case DataType::F32: + { + std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, i); + break; + } + default: + library->fill_tensor_uniform(tensor, i); + } + } + + TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const Conv3dInfo &conv3d_info, + bool has_bias, const DataType &data_type, const DataType &bias_data_type, const DataLayout &data_layout, const QuantizationInfo &src_qinfo, + const QuantizationInfo &weights_qinfo, const QuantizationInfo &dst_qinfo) + { + // Create tensors + TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, src_qinfo, data_layout); + TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, weights_qinfo, data_layout); + TensorType bias = has_bias ? create_tensor<TensorType>(bias_shape, bias_data_type, 1, QuantizationInfo()) : TensorType(); + TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, dst_qinfo, data_layout); + + // Create and configure function + FunctionType conv{}; + conv.configure(&src, &weights, has_bias ? &bias : nullptr, &dst, conv3d_info); + + ARM_COMPUTE_ASSERT(src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(weights.info()->is_resizable()); + ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); + + // Allocate tensors + src.allocator()->allocate(); + weights.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!weights.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); + + // Fill tensors + fill(AccessorType(src), 0); + fill(AccessorType(weights), 1); + + if(has_bias) + { + ARM_COMPUTE_ASSERT(bias.info()->is_resizable()); + bias.allocator()->allocate(); + ARM_COMPUTE_ASSERT(!bias.info()->is_resizable()); + fill(AccessorType(bias), 2); + } + + // Compute Direct Convolution 3D function + conv.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, + const Conv3dInfo &conv3d_info, bool has_bias, const DataType &data_type, const DataType &bias_data_type, const QuantizationInfo &src_qinfo, + const QuantizationInfo &weights_qinfo, const QuantizationInfo &dst_qinfo) + { + // Create reference + SimpleTensor<T> src{ input_shape, data_type, 1, src_qinfo }; + SimpleTensor<T> weights{ weights_shape, data_type, 1, weights_qinfo }; + SimpleTensor<TBias> bias{ bias_shape, bias_data_type }; + SimpleTensor<T> dst{ output_shape, data_type, 1, dst_qinfo }; + + // Fill reference + fill(src, 0); + fill(weights, 1); + + if(has_bias) + { + fill(bias, 2); + } + + return reference::activation_layer(reference::conv3d<T, TBias>(src, weights, bias, dst, conv3d_info), conv3d_info.act_info); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DirectConvolution3DValidationFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth, + unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout) + { + DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, stride_z, pad_x, pad_y, pad_z, kernel_width, kernel_height, + kernel_depth, num_kernels, has_bias, act_info, data_type, data_layout); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DirectConvolution3DValidationQuantizedFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth, + unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout, QuantizationInfo src_qinfo, QuantizationInfo weights_qinfo, + QuantizationInfo dst_qinfo) + { + DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, stride_z, pad_x, pad_y, pad_z, kernel_width, kernel_height, + kernel_depth, num_kernels, has_bias, act_info, data_type, data_layout, src_qinfo, + weights_qinfo, dst_qinfo); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute + +#endif // ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H |