blob: a10643679907d1673d303d19877cb392fcffc9e2 [file] [log] [blame]
//
// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClSpaceToDepthWorkload.hpp"
#include "ClWorkloadUtils.hpp"
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <cl/ClTensorHandle.hpp>
#include <armnn/utility/NumericCast.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
ClSpaceToDepthWorkload::ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& descriptor,
const WorkloadInfo& info,
const arm_compute::CLCompileContext& clCompileContext)
: ClBaseWorkload<SpaceToDepthQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClSpaceToDepthWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 1, 1);
arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
input.info()->set_data_layout(aclDataLayout);
int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize);
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
output.info()->set_data_layout(aclDataLayout);
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClSpaceToDepthWorkload_configure");
m_Layer.configure(clCompileContext, &input, &output, blockSize);
}
}
void ClSpaceToDepthWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClSpaceToDepthWorkload_Execute");
RunClFunction(m_Layer, CHECK_LOCATION());
}
arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const SpaceToDepthDescriptor& descriptor)
{
DataLayout dataLayout = descriptor.m_DataLayout;
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_BlockSize);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo,
&aclOutputInfo,
blockSize);
return aclStatus;
}
} //namespace armnn