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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/neon/NeonLayerSupport.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/neon/NeonLayerSupport.cpp')
| -rw-r--r-- | src/backends/neon/NeonLayerSupport.cpp | 27 |
1 files changed, 18 insertions, 9 deletions
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp index 0084dbd03f..f55d1c8df6 100644 --- a/src/backends/neon/NeonLayerSupport.cpp +++ b/src/backends/neon/NeonLayerSupport.cpp @@ -167,7 +167,8 @@ bool NeonLayerSupport::IsAdditionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool NeonLayerSupport::IsArgMinMaxSupported(const TensorInfo& input, @@ -199,7 +200,8 @@ bool NeonLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, var, beta, gamma, - descriptor); + descriptor, + nullptr); } bool NeonLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input, @@ -345,7 +347,8 @@ bool NeonLayerSupport::IsConvolution2dSupported(const TensorInfo& input, descriptor, weights, biases, - isFastMathEnabled); + isFastMathEnabled, + nullptr); } bool NeonLayerSupport::IsDepthToSpaceSupported(const TensorInfo& input, @@ -373,7 +376,8 @@ bool NeonLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, output, descriptor, weights, - biases); + biases, + nullptr); } bool NeonLayerSupport::IsDequantizeSupported(const TensorInfo& input, @@ -399,7 +403,8 @@ bool NeonLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& output, descriptor, weights, - biases); + biases, + nullptr); } bool NeonLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input, @@ -474,7 +479,8 @@ bool NeonLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, output, weights, biases, - descriptor); + descriptor, + nullptr); } bool NeonLayerSupport::IsGatherSupported(const TensorInfo& input0, @@ -611,7 +617,8 @@ bool NeonLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool NeonLayerSupport::IsDivisionSupported(const TensorInfo& input0, @@ -623,7 +630,8 @@ bool NeonLayerSupport::IsDivisionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool NeonLayerSupport::IsNormalizationSupported(const TensorInfo& input, @@ -911,7 +919,8 @@ bool NeonLayerSupport::IsSubtractionSupported(const TensorInfo& input0, reasonIfUnsupported, input0, input1, - output); + output, + nullptr); } bool NeonLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, |