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//
// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "GpuFsaResize.hpp"
#include "UtilsGpuFsa.hpp"
#include <aclCommon/ArmComputeTensorUtils.hpp>
#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/GpuResize.h>
#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h>
using namespace arm_compute::experimental::dynamic_fusion;
using namespace armnn::armcomputetensorutils;
namespace armnn
{
arm_compute::Status GpuFsaResizeValidate(const TensorInfo& input,
const ResizeDescriptor& descriptor)
{
// Create a new workload sketch, for validation purposes
auto compileCtx = arm_compute::CLKernelLibrary::get().get_compile_context();
auto workloadContext = GpuWorkloadContext(&compileCtx);
GpuWorkloadSketch sketch{ &workloadContext };
arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
aclInputInfo.set_are_values_constant(input.IsConstant());
arm_compute::ITensorInfo* inputInfo = workloadContext.create_tensor_info(aclInputInfo);
ResizeAttributes resizeAttributes = CreateResizeAttributes(descriptor);
return GpuResize::validate_op(sketch, inputInfo, resizeAttributes);
}
void GpuFsaResizeCreateOp(GpuFsaPreCompiledBlob* blob,
const TensorInfo& input,
const ResizeDescriptor& descriptor)
{
GpuWorkloadSketch* sketch = blob->sketch.get();
GpuWorkloadContext* workloadContext = blob->workloadContext.get();
std::vector<arm_compute::ITensorInfo*> inputTensorInfos = {};
std::vector<arm_compute::ITensorInfo*> outputTensorInfos = {};
arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
aclInputInfo.set_are_values_constant(input.IsConstant());
inputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclInputInfo));
ResizeAttributes resizeAttributes = CreateResizeAttributes(descriptor);
// Validate operator, check status and update reasonIfUnsupported
arm_compute::Status aclStatus = GpuResize::validate_op(*sketch,
inputTensorInfos[0],
resizeAttributes);
const bool supported = aclStatus.error_code() == arm_compute::ErrorCode::OK;
if (!supported)
{
throw BackendCapabilityException("\"GpuFsa\" backend failed during resize validation");
}
arm_compute::ITensorInfo* addOutputInfo = GpuResize::create_op(*sketch,
inputTensorInfos[0],
resizeAttributes);
// Temporary fix until fusing attempt is make for GpuFsa backend and Output layer workload is created.
outputTensorInfos.emplace_back(workloadContext->create_tensor_info());
GpuOutput::create_op(*sketch, addOutputInfo, outputTensorInfos[0]);
// Store the TensorInfos within the blob as unique_ptrs to be used later
blob->inputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(inputTensorInfos);
blob->outputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(outputTensorInfos);
}
} // namespace armnn
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