diff options
| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-03-09 14:09:08 +0000 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-03-31 17:08:51 +0000 |
| commit | 33f41fabd30fb444aaa0cf3e65b61794d498d151 (patch) | |
| tree | a381cff3096a3b05198b0cd311fee28e40fd5a4f /arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h | |
| parent | 5f91b5d7063462854b62d342f9d4e04ae647e9a6 (diff) | |
| download | ComputeLibrary-33f41fabd30fb444aaa0cf3e65b61794d498d151.tar.gz | |
Fix trademarks throughout the codebase
Resolves: COMPMID-4299
Change-Id: Ie6a52c1371b9a2a7b5bb4f019ecd5e70a2008567
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5338
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h index 1b3f36d866..58b11744a8 100644 --- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h +++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h @@ -35,7 +35,7 @@ namespace arm_compute { -/** Basic function to reshape the weights of Fully Connected layer with Neon. This function calls the following kernels: +/** Basic function to reshape the weights of Fully Connected layer. This function calls the following kernels: * * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. */ @@ -117,7 +117,7 @@ private: }; } // namespace weights_transformations -/** Basic function to compute a Fully Connected layer on Neon. This function calls the following Neon kernels: +/** Basic function to compute a Fully Connected layer. This function calls the following kernels: * -# @ref NEIm2ColKernel (called when the input comes from a convolutional layer) * -# @ref NEFullyConnectedLayerReshapeWeights (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once) * -# @ref NEGEMMMatrixMultiplyKernel or @ref NEGEMMLowpMatrixMultiplyCore (if quantized asymmetric) |