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123 lines
5.2 KiB
123 lines
5.2 KiB
/*
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* Copyright (c) 2022 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE
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#define ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "tests/Globals.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/Helpers.h"
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#include "tests/validation/reference/IndirectConv2dAddressPrecalculation.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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using namespace arm_compute::misc::shape_calculator;
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template <typename TensorType, typename AccessorType, typename OperatorType>
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class IndirectConv2dAddressPrecalculationValidationFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(unsigned int src_w,
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unsigned int src_h,
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unsigned int src_b,
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unsigned int wei_w,
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unsigned int wei_h,
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unsigned int pad,
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unsigned int stride,
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unsigned int m0)
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{
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DirectConvComputeKernelInfo desc;
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desc.m0 = m0;
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desc.n0 = 1; // Not used by the kernel
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desc.k0 = 1; // Not used by the kernel
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desc.export_weights_to_cl_image = false; // Not used by the kernel
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const PadStrideInfo conv_info(stride, stride, pad, pad);
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const TensorShape shape_conv_src(23, // The input channels are not used by the kernel
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src_w,
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src_h,
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src_b);
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const TensorShape shape_conv_wei(23, // The input channels are not used by the kernel
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wei_w,
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wei_h,
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23 // The output channels are not used by the kernel
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);
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// The result of the kernel does not change with the datatype. Hence, we can fix it to Fp16 for validation purposes
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const DataType data_type = DataType::F16;
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_target = compute_target(shape_conv_src, shape_conv_wei, data_type, conv_info, desc);
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_reference = compute_reference(shape_conv_src, shape_conv_wei, data_type, conv_info, desc);
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}
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protected:
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TensorType compute_target(TensorShape shape_conv_src, TensorShape shape_conv_wei, DataType data_type, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc)
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{
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TensorInfo src_conv_info(shape_conv_src, 1, data_type, DataLayout::NHWC);
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TensorInfo wei_conv_info(shape_conv_wei, 1, data_type, DataLayout::NHWC);
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TensorType dst;
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// The output tensor will be auto-initialized within the function
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// Create and configure function
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OperatorType func;
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func.configure(&src_conv_info, &wei_conv_info, dst.info(), conv_info, desc);
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add_padding_x({ &dst });
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// Allocate tensors
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dst.allocator()->allocate();
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// Compute GEMM LHS matrix reshape function
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ITensorPack tensors = { { ACL_DST, &dst } };
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func.run(tensors);
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return dst;
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}
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SimpleTensor<int32_t> compute_reference(TensorShape shape_conv_src, TensorShape shape_conv_wei, DataType data_type, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc)
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{
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ARM_COMPUTE_UNUSED(data_type);
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TensorShape shape_out = compute_indirect_buffer_shape(shape_conv_src, DataLayout::NHWC, shape_conv_wei, conv_info, desc);
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TensorShape output_conv_shape = compute_deep_convolution_shape(shape_conv_src, DataLayout::NHWC, shape_conv_wei, conv_info);
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return reference::indirect_conv2d_addr_precalculation(shape_conv_src, shape_conv_wei, output_conv_shape, shape_out, conv_info);
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}
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TensorType _target{};
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SimpleTensor<int32_t> _reference{};
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_FIXTURE */ |