diff options
author | Mike Kelly <mike.kelly@arm.com> | 2020-11-12 10:58:48 +0000 |
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committer | Jim Flynn <jim.flynn@arm.com> | 2020-11-13 14:25:30 +0000 |
commit | 07810fc2fcdd34db74222d90cc73ef12a88e7b78 (patch) | |
tree | 8becef8453674822d079815b06ae37310b97d2cf /src/backends/cl/workloads/ClAdditionWorkload.cpp | |
parent | 8502adeafbbb1db0acefa62560d93453e38dcadb (diff) | |
download | armnn-07810fc2fcdd34db74222d90cc73ef12a88e7b78.tar.gz |
IVGCVSW-5328-5329 Fuse Activation
* Added Fused Activation Optimization to both CL and Neon backends.
* Added Fused Activation support to all the CL and Neon workloads
that support it.
* Changed ProfilingTest network to be a Convolution layer
followed by an Abs layer rather than an Activation layer.
* Added IBackendInternal::OptimizeSubgraphView function that can accept a
ModelOptions.
* Network will now call OptimizeSubgraphView passing in the ModelOptions.
Signed-off-by: Keith Davis <keith.davis@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
Diffstat (limited to 'src/backends/cl/workloads/ClAdditionWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClAdditionWorkload.cpp | 15 |
1 files changed, 12 insertions, 3 deletions
diff --git a/src/backends/cl/workloads/ClAdditionWorkload.cpp b/src/backends/cl/workloads/ClAdditionWorkload.cpp index 18e2400ccd..7e75a04110 100644 --- a/src/backends/cl/workloads/ClAdditionWorkload.cpp +++ b/src/backends/cl/workloads/ClAdditionWorkload.cpp @@ -8,6 +8,7 @@ #include <cl/ClTensorHandle.hpp> #include <backendsCommon/CpuTensorHandle.hpp> #include <aclCommon/ArmComputeTensorUtils.hpp> +#include <aclCommon/ArmComputeUtils.hpp> #include "ClWorkloadUtils.hpp" @@ -26,7 +27,10 @@ ClAdditionWorkload::ClAdditionWorkload(const AdditionQueueDescriptor& descriptor arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor(); arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[1])->GetTensor(); arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor(); - m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy); + + const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor); + + m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy, activationInfo); } void ClAdditionWorkload::Execute() const @@ -37,16 +41,21 @@ void ClAdditionWorkload::Execute() const arm_compute::Status ClAdditionValidate(const TensorInfo& input0, const TensorInfo& input1, - const TensorInfo& output) + const TensorInfo& output, + const ActivationDescriptor* activationDescriptor) { const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0); const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo( + activationDescriptor); + const arm_compute::Status aclStatus = arm_compute::CLArithmeticAddition::validate(&aclInput0Info, &aclInput1Info, &aclOutputInfo, - g_AclConvertPolicy); + g_AclConvertPolicy, + activationInfo); return aclStatus; } |