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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-06-18 10:14:57 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-06-19 14:35:22 +0000 |
| commit | ce0c67559cf03965acc8f212263a9f53205a0a3f (patch) | |
| tree | c37105c72538108c46e5964cf49d15acd2d85980 /src/core/NEON/kernels/NEActivationLayerKernel.cpp | |
| parent | 3be0b8c8d4e90bd264e9575dc2b6994ce8e14d50 (diff) | |
| download | ComputeLibrary-ce0c67559cf03965acc8f212263a9f53205a0a3f.tar.gz | |
COMPMID-3377: Async support to NEElementwiseUnaryLayerKernel kernels/functions
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: I208287b44ece051e95f891d43a691cb0ac6e56c5
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3419
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEActivationLayerKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEActivationLayerKernel.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/NEActivationLayerKernel.cpp b/src/core/NEON/kernels/NEActivationLayerKernel.cpp index 2c00a76305..43426dc122 100644 --- a/src/core/NEON/kernels/NEActivationLayerKernel.cpp +++ b/src/core/NEON/kernels/NEActivationLayerKernel.cpp @@ -855,8 +855,8 @@ Status NEActivationLayerKernel::validate(const ITensorInfo *input, const ITensor return Status{}; } -void NEActivationLayerKernel::run_op(const std::vector<InputTensor> &inputs, - const std::vector<OutputTensor> &outputs, +void NEActivationLayerKernel::run_op(const InputTensorMap &inputs, + const OutputTensorMap &outputs, const Window &window, const ThreadInfo &info) { // Early exit on disabled activation @@ -872,5 +872,5 @@ void NEActivationLayerKernel::run_op(const std::vector<InputTensor> &inputs, ARM_COMPUTE_ERROR_ON(inputs.empty() || outputs.empty()); - (this->*_func)(inputs[0].tensor, outputs[0].tensor, window); + (this->*_func)(inputs.at(TensorType::ACL_SRC), outputs.at(TensorType::ACL_DST), window); } |