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Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp b/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp new file mode 100644 index 0000000000..1e5cf0c722 --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClActivationFloatWorkload.cpp @@ -0,0 +1,54 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "ClActivationFloatWorkload.hpp" +#include "backends/ClTensorHandle.hpp" +#include "backends/ArmComputeUtils.hpp" + +namespace armnn +{ +arm_compute::Status ClActivationWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const ActivationDescriptor& descriptor) +{ + const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + const arm_compute::ActivationLayerInfo activationLayerInfo = + ConvertActivationDescriptorToAclActivationLayerInfo(descriptor); + + if (input.GetDataType() == DataType::QuantisedAsymm8 && + activationLayerInfo.activation() == arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, + "CL: Logistic Activations unsupported with QAsymm8 data type."}; + } + + return arm_compute::CLActivationLayer::validate(&aclInput, + &aclOutput, + activationLayerInfo); +} + +ClActivationFloatWorkload::ClActivationFloatWorkload(const ActivationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : FloatWorkload<ActivationQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClActivationFloatWorkload", 1, 1); + + const arm_compute::ActivationLayerInfo activationLayerInfo = + ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters); + + arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + m_ActivationLayer.configure(&input, &output, activationLayerInfo); +} + +void ClActivationFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClActivationFloatWorkload_Execute"); + m_ActivationLayer.run(); +} + +} //namespace armnn
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