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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClConvertFp16ToFp32Workload.hpp"
#include <backends/cl/ClTensorHandle.hpp>
#include "ClWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
ClConvertFp16ToFp32Workload::ClConvertFp16ToFp32Workload(
const ConvertFp16ToFp32QueueDescriptor& descriptor, const WorkloadInfo& info) :
Float16ToFloat32Workload<ConvertFp16ToFp32QueueDescriptor>(descriptor, info)
{
this->m_Data.ValidateInputsOutputs("ClConvertFp16ToFp32Workload", 1, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
m_Layer.configure(&input, &output, g_AclConvertPolicy, 0);
}
void ClConvertFp16ToFp32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvertFp16ToFp32Workload_Execute");
RunClFunction(m_Layer, CHECK_LOCATION());
}
arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo& input, const TensorInfo& output)
{
if (input.GetDataType() != DataType::Float16)
{
return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Input should be Float16");
}
if (output.GetDataType() != DataType::Float32)
{
return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Output should be Float32");
}
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
const arm_compute::Status aclStatus = arm_compute::CLDepthConvertLayer::validate(
&aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0);
return aclStatus;
}
} //namespace armnn
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