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Diffstat (limited to 'tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h')
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diff --git a/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h b/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h new file mode 100644 index 0000000000..7374093f51 --- /dev/null +++ b/tests/validation/fixtures/IndirectConv2dAddressPrecalculationFixture.h @@ -0,0 +1,122 @@ +/* + * Copyright (c) 2022-2023 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 ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE +#define ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "tests/Globals.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/reference/IndirectConv2dAddressPrecalculation.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +using namespace arm_compute::misc::shape_calculator; + +template <typename TensorType, typename AccessorType, typename OperatorType> +class IndirectConv2dAddressPrecalculationValidationFixture : public framework::Fixture +{ +public: + void setup(unsigned int src_w, + unsigned int src_h, + unsigned int src_b, + unsigned int wei_w, + unsigned int wei_h, + unsigned int pad, + unsigned int stride, + unsigned int m0) + { + DirectConvComputeKernelInfo desc; + desc.m0 = m0; + desc.n0 = 1; // Not used by the kernel + desc.k0 = 1; // Not used by the kernel + desc.export_weights_to_cl_image = false; // Not used by the kernel + + const PadStrideInfo conv_info(stride, stride, pad, pad); + + const TensorShape shape_conv_src(23, // The input channels are not used by the kernel + src_w, + src_h, + src_b); + + const TensorShape shape_conv_wei(23, // The input channels are not used by the kernel + wei_w, + wei_h, + 23 // The output channels are not used by the kernel + ); + + // The result of the kernel does not change with the datatype. Hence, we can fix it to Fp16 for validation purposes + const DataType data_type = DataType::F16; + + _target = compute_target(shape_conv_src, shape_conv_wei, data_type, conv_info, desc); + _reference = compute_reference(shape_conv_src, shape_conv_wei, data_type, conv_info, desc); + } + +protected: + TensorType compute_target(TensorShape shape_conv_src, TensorShape shape_conv_wei, DataType data_type, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc) + { + TensorInfo src_conv_info(shape_conv_src, 1, data_type, DataLayout::NHWC); + TensorInfo wei_conv_info(shape_conv_wei, 1, data_type, DataLayout::NHWC); + TensorType dst; + + // The output tensor will be auto-initialized within the function + + // Create and configure function + OperatorType func; + func.configure(&src_conv_info, &wei_conv_info, dst.info(), conv_info, desc); + + add_padding_x({ &dst }); + + // Allocate tensors + dst.allocator()->allocate(); + + // Compute GEMM LHS matrix reshape function + ITensorPack tensors = { { ACL_DST, &dst } }; + func.run(tensors); + + return dst; + } + + SimpleTensor<int32_t> compute_reference(TensorShape shape_conv_src, TensorShape shape_conv_wei, DataType data_type, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc) + { + ARM_COMPUTE_UNUSED(data_type); + TensorShape shape_out = compute_indirect_buffer_shape(shape_conv_src, DataLayout::NHWC, shape_conv_wei, conv_info, desc); + TensorShape output_conv_shape = compute_deep_convolution_shape(shape_conv_src, DataLayout::NHWC, shape_conv_wei, conv_info); + + return reference::indirect_conv2d_addr_precalculation(shape_conv_src, shape_conv_wei, output_conv_shape, shape_out, conv_info); + } + + TensorType _target{}; + SimpleTensor<int32_t> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE */
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