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| author | Mike Kelly <mike.kelly@arm.com> | 2020-11-12 10:58:48 +0000 |
|---|---|---|
| committer | Jim Flynn <jim.flynn@arm.com> | 2020-11-13 14:25:30 +0000 |
| commit | 07810fc2fcdd34db74222d90cc73ef12a88e7b78 (patch) | |
| tree | 8becef8453674822d079815b06ae37310b97d2cf /src/backends/cl/ClLayerSupport.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/ClLayerSupport.cpp')
| -rw-r--r-- | src/backends/cl/ClLayerSupport.cpp | 27 |
1 files changed, 18 insertions, 9 deletions
diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp index 7c1466e0e1..cce5c9b3bd 100644 --- a/src/backends/cl/ClLayerSupport.cpp +++ b/src/backends/cl/ClLayerSupport.cpp @@ -197,7 +197,8 @@ bool ClLayerSupport::IsAdditionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool ClLayerSupport::IsArgMinMaxSupported(const TensorInfo& input, @@ -230,7 +231,8 @@ bool ClLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, var, beta, gamma, - descriptor); + descriptor, + nullptr); } bool ClLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input, @@ -357,7 +359,8 @@ bool ClLayerSupport::IsConvolution2dSupported(const TensorInfo& input, descriptor, weights, biases, - isFastMathEnabled); + isFastMathEnabled, + nullptr); } bool ClLayerSupport::IsDequantizeSupported(const TensorInfo& input, @@ -395,7 +398,8 @@ bool ClLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, output, descriptor, weights, - biases); + biases, + nullptr); } bool ClLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input, @@ -411,7 +415,8 @@ bool ClLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& in output, descriptor, weights, - biases); + biases, + nullptr); } @@ -424,7 +429,8 @@ bool ClLayerSupport::IsDivisionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool ClLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input, @@ -494,7 +500,8 @@ bool ClLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, output, weights, biases, - descriptor); + descriptor, + nullptr); } bool ClLayerSupport::IsGatherSupported(const TensorInfo& input0, @@ -639,7 +646,8 @@ bool ClLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool ClLayerSupport::IsNormalizationSupported(const TensorInfo& input, @@ -911,7 +919,8 @@ bool ClLayerSupport::IsSubtractionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool ClLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, |