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/*
* Copyright (c) 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
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE
#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h"
#include "arm_compute/dynamic_fusion/sketch/attributes/ReshapeAttributes.h"
#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h"
#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h"
#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuReshape.h"
#include "tests/Globals.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/ReshapeLayer.h"
using namespace arm_compute::experimental::dynamic_fusion;
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class DynamicFusionGpuReshapeLayerValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape input_shape, TensorShape output_shape, DataType data_type)
{
_target = compute_target(input_shape, output_shape, data_type);
_reference = compute_reference(input_shape, output_shape, data_type);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
TensorType compute_target(TensorShape &input_shape, TensorShape &output_shape, DataType data_type)
{
// Check if indeed the input shape can be reshape to the output one
ARM_COMPUTE_ASSERT(input_shape.total_size() == output_shape.total_size());
// Create a new workload sketch
auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
GpuWorkloadSketch sketch{ &gpu_ctx };
// Create sketch tensors
TensorInfo src_info = sketch.create_tensor_info(TensorInfo(input_shape, 1, data_type));
TensorInfo dst_info = sketch.create_tensor_info(TensorInfo(output_shape, 1, data_type));
ReshapeAttributes attributes;
attributes.shape(output_shape);
ITensorInfo *ans_info = FunctionType::create_op(sketch, &src_info, attributes);
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())
{
auto tensor = data.first;
const auto aux_mem_req = data.second;
tensor->allocator()->init(*data.first->info(), aux_mem_req.alignment);
tensor->allocator()->allocate(); // Use ACL allocated memory
}
// Construct user tensors
TensorType t_src{};
TensorType t_dst{};
// Initialize user tensors
t_src.allocator()->init(src_info);
t_dst.allocator()->init(dst_info);
// Allocate and fill user tensors
t_src.allocator()->allocate();
t_dst.allocator()->allocate();
fill(AccessorType(t_src), 0);
// Run runtime
runtime.run({ &t_src, &t_dst });
return t_dst;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, DataType data_type)
{
// Create reference
SimpleTensor<T> src{ input_shape, data_type };
// Fill reference
fill(src, 0);
return reference::reshape_layer<T>(src, output_shape);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
/** [ReshapeLayer fixture] **/
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE */