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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-09-21 16:33:15 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:19 +0000 |
commit | 932491f44d51940d82514417a82e43cb11b06bd4 (patch) | |
tree | cbd5a422dcc0650c0163c7db93792c42e40e3886 /arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h | |
parent | eb027e933758b1e749f0f6bd2817ee8979ef903c (diff) | |
download | ComputeLibrary-932491f44d51940d82514417a82e43cb11b06bd4.tar.gz |
COMPMID-1519: Add support for 3D input/output in CLGEMMLowpOutputStage
Change-Id: I637add70310d2da4d82b236a6352af9d33be17a1
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149706
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h index c6ae535713..958e70fca4 100644 --- a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h @@ -91,7 +91,7 @@ private: * -# @ref CLGEMMLowpMatrixMultiplyCore (if the data type is QASYMM8) * -# @ref CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint (if the data type is QASYMM8) * -# @ref CLArithmeticAdditionKernel (if biases != nullptr and we have a 1x1 convolution with the NHWC data layout) - * -# @ref CLCol2ImKernel (if NCHW data layout) or @ref CLReshapeLayer (if NHWC with QASYMM8) + * -# @ref CLCol2ImKernel (if NCHW data layout) */ class CLGEMMConvolutionLayer : public IFunction { @@ -187,7 +187,6 @@ private: CLCol2ImKernel _col2im_kernel; CLActivationLayer _activationlayer_function; CLArithmeticAdditionKernel _add_bias_kernel; - CLReshapeLayer _reshape_layer; const ICLTensor *_original_weights; @@ -200,6 +199,7 @@ private: bool _append_bias; bool _skip_im2col; + bool _skip_col2im; bool _is_quantized; bool _is_activationlayer_enabled; bool _is_prepared; |