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/*
* Copyright (c) 2023-2024 Arm Limited.
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* SPDX-License-Identifier: MIT
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* 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
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE_H
#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE_H
#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/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/Globals.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:
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 context = GpuWorkloadContext{&cl_compile_ctx};
GpuWorkloadSketch sketch{&context};
// Create sketch tensors
ITensorInfo *src_info = context.create_tensor_info(TensorInfo(input_shape, 1, data_type));
ITensorInfo *dst_info = context.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())
{
CLTensor *tensor = std::get<0>(data);
TensorInfo info = std::get<1>(data);
AuxMemoryInfo aux_mem_req = std::get<2>(data);
tensor->allocator()->init(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 // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESHAPEFIXTURE_H