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telsoa01c577f2c2018-08-31 09:22:23 +01001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +01003// SPDX-License-Identifier: MIT
telsoa01c577f2c2018-08-31 09:22:23 +01004//
5
6#include "ClConvertFp16ToFp32Workload.hpp"
David Beckac42efd2018-09-26 17:41:13 +01007#include <backends/cl/ClTensorHandle.hpp>
telsoa01c577f2c2018-08-31 09:22:23 +01008
Matthew Bentham14e46692018-09-20 15:35:30 +01009#include "ClWorkloadUtils.hpp"
10
telsoa01c577f2c2018-08-31 09:22:23 +010011namespace armnn
12{
13using namespace armcomputetensorutils;
14
15static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
16
17ClConvertFp16ToFp32Workload::ClConvertFp16ToFp32Workload(
18 const ConvertFp16ToFp32QueueDescriptor& descriptor, const WorkloadInfo& info) :
19 Float16ToFloat32Workload<ConvertFp16ToFp32QueueDescriptor>(descriptor, info)
20{
21 this->m_Data.ValidateInputsOutputs("ClConvertFp16ToFp32Workload", 1, 1);
22
23 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
24 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
25
26 m_Layer.configure(&input, &output, g_AclConvertPolicy, 0);
27}
28
29void ClConvertFp16ToFp32Workload::Execute() const
30{
31 ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvertFp16ToFp32Workload_Execute");
32 m_Layer.run();
33}
34
35arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo& input,
36 const TensorInfo& output,
37 std::string* reasonIfUnsupported)
38{
39 if (input.GetDataType() != DataType::Float16)
40 {
41 *reasonIfUnsupported = "Input should be Float16";
42 return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported);
43 }
44 if (output.GetDataType() != DataType::Float32)
45 {
46 *reasonIfUnsupported = "Output should be Float32";
47 return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported);
48 }
49
50 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
51 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
52
53 const arm_compute::Status aclStatus = arm_compute::CLDepthConvertLayer::validate(
54 &aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0);
55
56 const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
57 if (!supported && reasonIfUnsupported)
58 {
59 *reasonIfUnsupported = aclStatus.error_description();
60 }
61
62 return aclStatus;
63}
64
65
66} //namespace armnn