diff options
author | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
---|---|---|
committer | telsoa01 <telmo.soares@arm.com> | 2018-03-09 14:13:49 +0000 |
commit | 4fcda0101ec3d110c1d6d7bee5c83416b645528a (patch) | |
tree | c9a70aeb2887006160c1b3d265c27efadb7bdbae /src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp | |
download | armnn-4fcda0101ec3d110c1d6d7bee5c83416b645528a.tar.gz |
Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp')
-rw-r--r-- | src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp b/src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp new file mode 100644 index 0000000000..3671dd7187 --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClActivationUint8Workload.cpp @@ -0,0 +1,47 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "ClActivationUint8Workload.hpp" +#include "backends/ClLayerSupport.hpp" + +#include "backends/ClTensorHandle.hpp" +#include "backends/CpuTensorHandle.hpp" +namespace armnn +{ + +ClActivationUint8Workload::ClActivationUint8Workload(const ActivationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Uint8Workload<ActivationQueueDescriptor>(descriptor, info) +{ + + std::string reasonIfUnsupported; + if (!IsClActivationUint8Supported(&reasonIfUnsupported, m_Data.m_Parameters)) + { + throw InvalidArgumentException(reasonIfUnsupported); + } + + // Only BoundedReLu is supported (see IsClActivationUint8Supported) + arm_compute::ActivationLayerInfo layerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, + m_Data.m_Parameters.m_A, + m_Data.m_Parameters.m_B); + + m_Data.ValidateInputsOutputs("ClActivationUint8Workload", 1, 1); + + 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, layerInfo); +} + +void ClActivationUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClActivationUint8Workload_Execute"); + + m_ActivationLayer.run(); +} + +} //namespace Armnn + + |