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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-10-23 20:29:30 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 81a26ad6b626ce2da83659d7c6c17b6104d1f203 (patch) | |
| tree | 536807115771f1a4b06048892d1d4e17c98779de /arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h | |
| parent | 511347a7282b948bddfc071e9a8fa08e79da25b4 (diff) | |
| download | ComputeLibrary-81a26ad6b626ce2da83659d7c6c17b6104d1f203.tar.gz | |
COMPMID-643: Add bias to CLDepthwiseConvolution.
Change-Id: Ibfe7b8c1172d10cbcae7971fe86b82090519d31d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/92798
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Jaroslaw Rzepecki <jaroslaw.rzepecki@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h index 7dabed1814..a38446293b 100644 --- a/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDepthwiseSeparableConvolutionLayer.h @@ -53,17 +53,20 @@ public: * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F32. * @param[in] depthwise_weights Depthwise convolution weights tensor. These are 3D tensors with dimensions [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] depthwise_biases (Optional) Biases tensor.Biases are 1D tensor with dimensions [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p weights. * @param[out] depthwise_out Depthwise destination tensor. * @param[in] pointwise_weights Pointwise convolution weights tensor. These are 4D tensors with dimensions [1, 1, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. + * @param[in] pointwise_biases (Optional) Biases tensor. Biases are 1D tensor with dimensions [OFM]. Must be nullptr if not needed. + * Data type supported: Same as @p weights. * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. * Data types supported: Same as @p input. * @param[in] depthwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for depthwise convolution. * @param[in] pointwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for pointwise convolution. */ - void configure(ICLTensor *input, const ICLTensor *depthwise_weights, ICLTensor *depthwise_out, const ICLTensor *pointwise_weights, const ICLTensor *biases, ICLTensor *output, - const PadStrideInfo &depthwise_conv_info, - const PadStrideInfo &pointwise_conv_info); + void configure(ICLTensor *input, const ICLTensor *depthwise_weights, const ICLTensor *depthwise_biases, ICLTensor *depthwise_out, + const ICLTensor *pointwise_weights, const ICLTensor *pointwise_biases, ICLTensor *output, + const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info); // Inherited methods overriden: void run() override; |