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author | David Beck <david.beck@arm.com> | 2018-09-26 17:41:13 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | ac42efd972b7d03da17f057b2ceaaac5d6e96b1a (patch) | |
tree | 1ebc1320fa3ea7f494d3716ea79a2bda0f4ffd1e /src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp | |
parent | bcd3c85b5a7657b38f503676b88a80ae74165acd (diff) | |
download | armnn-ac42efd972b7d03da17f057b2ceaaac5d6e96b1a.tar.gz |
IVGCVSW-1900 : CL backend folder structure
* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
backends/cl/workloads
Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129
Diffstat (limited to 'src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp b/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp new file mode 100644 index 0000000000..e7663b4ca4 --- /dev/null +++ b/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp @@ -0,0 +1,66 @@ +// +// 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"); + m_Layer.run(); +} + +arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + std::string* reasonIfUnsupported) +{ + if (input.GetDataType() != DataType::Float16) + { + *reasonIfUnsupported = "Input should be Float16"; + return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported); + } + if (output.GetDataType() != DataType::Float32) + { + *reasonIfUnsupported = "Output should be Float32"; + return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported); + } + + 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); + + const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); + if (!supported && reasonIfUnsupported) + { + *reasonIfUnsupported = aclStatus.error_description(); + } + + return aclStatus; +} + + +} //namespace armnn |