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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-06-23 10:38:25 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | 5cb4c42cb5d781a44409ebc97a408e1379ce182d (patch) | |
| tree | dbb544322eacee38f9719225e037aca90ba6fbf3 /arm_compute/runtime/CL/functions/CLConvolutionLayer.h | |
| parent | 0a8334cb78dae66fdc31257a96ba15f7c41bde50 (diff) | |
| download | ComputeLibrary-5cb4c42cb5d781a44409ebc97a408e1379ce182d.tar.gz | |
COMPMID-414 - Port CLConvolutionLayer to support 8 bit fixed point - CLWeightsReshapeKernel
Change-Id: Ie32e6bdd557a8243eb9988aa7eab4e4ca2291e79
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78701
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLConvolutionLayer.h | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h index 6a40396f9a..8030b40a71 100644 --- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h @@ -53,7 +53,7 @@ public: CLConvolutionLayerReshapeWeights(); /** Set the input and output tensors. * - * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: F32. + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: QS8/F16/F32. * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. * @param[out] output Destination tensor. Data types supported: Same as @p weights. * @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise. @@ -64,16 +64,16 @@ public: void run() override; private: - CLConvolutionLayerWeightsReshapeKernel _weights_reshape_kernel; - CLGEMMTranspose1xWKernel _weights_transposed_kernel; - CLTensor _weights_reshaped; - bool _transpose1xW; + CLWeightsReshapeKernel _weights_reshape_kernel; + CLGEMMTranspose1xWKernel _weights_transposed_kernel; + CLTensor _weights_reshaped; + bool _transpose1xW; }; /** Basic function to compute the convolution layer. This function calls the following OpenCL kernels: * - * -# @ref CLConvolutionLayerWeightsReshapeKernel (executed only once for each configuration) - * -# @ref CLGEMMTranspose1xWKernel (executed only once for each configuration) + * -# @ref CLWeightsReshapeKernel (executed only once for each configuration) + * -# @ref CLGEMMTranspose1xWKernel (executed only once for each configuration) * -# @ref CLIm2ColKernel * -# @ref CLGEMMInterleave4x4Kernel * -# @ref CLGEMMMatrixMultiplyKernel |