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authorMichele Di Giorgio <michele.digiorgio@arm.com>2021-01-22 09:47:04 +0000
committerMichele Di Giorgio <michele.digiorgio@arm.com>2021-06-18 10:33:48 +0000
commitd02d5edfa15ba6c04a9986a8a362a945cb38ac31 (patch)
treeced4f49691d6c7038e347a8709b315bff59c64cf /arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
parentb014c27ba6db9840e4a72519760d51a87a2af7e7 (diff)
downloadComputeLibrary-d02d5edfa15ba6c04a9986a8a362a945cb38ac31.tar.gz
Integrate improved CPU depthwise convolution kernels
* Replace assembly kernels for depthwise convolution with more optimized ones. * Add int8 assembly kernels. * Fix implicit padding on optimized kernels Resolves: COMPMID-3867, COMPMID-4361 Change-Id: I0b0867e05f61be4f368f62190d55e14d0ab3ebf2 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5622 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h2
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
index 2f541758f4..6f2ec8cddb 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
@@ -112,7 +112,7 @@ private:
*
* -# @ref NEFillBorderKernel (if pad_x or pad_y > 0) and no assembly kernel implementation is present
* -# @ref NEDepthwiseConvolutionLayer3x3Kernel if 3x3 and no assembly kernel implementation is present
- * -# @ref NEDepthwiseConvolutionAssemblyDispatch if assembly kernel implementation is present
+ * -# @ref cpu::CpuDepthwiseConvolutionAssemblyDispatch if assembly kernel implementation is present
* -# @ref NEDirectConvolutionLayerOutputStageKernel if re-quantization of output is required
* -# @ref NEActivationLayer if fused activation is required
*