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/*
* 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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