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| author | SiCong Li <sicong.li@arm.com> | 2017-07-28 14:46:20 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
| commit | c51b72fe34e6018a1807a2c78228da7beeee1750 (patch) | |
| tree | e1c969d6a54ae2561f8d4c6c35fd2534785f09b3 /arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | |
| parent | 572ade736ab344a62afa7da214cd9407fe53a281 (diff) | |
| download | ComputeLibrary-c51b72fe34e6018a1807a2c78228da7beeee1750.tar.gz | |
COMPMID-355 Implement CL DirectConvolution1x1
* Add FP16 to validation tests.
* Complete benchmark tests for CL and NEON Direct Convolution.
Change-Id: Ie73d8580832372db01b82b39786fd9c8be560090
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82014
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | 5 |
1 files changed, 1 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h index 28eecf029a..635ec883bf 100644 --- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h @@ -33,7 +33,6 @@ class ICLTensor; /** Interface for the direct convolution kernel. */ -template <unsigned int kernel_size> class CLDirectConvolutionLayerKernel : public ICLKernel { public: @@ -52,7 +51,7 @@ public: /** Set the input, weights, biases and output tensors. * * @param[in] input The input tensor to convolve. 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. + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16, F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. * The 3rd dimension must be the same as the input's volume 3rd dimension. * Data type supported:Same as @p input. @@ -80,7 +79,5 @@ private: int _conv_stride_x; int _conv_stride_y; }; - -using CLDirectConvolutionLayer3x3Kernel = CLDirectConvolutionLayerKernel<3>; } #endif /*__ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYERKERNEL_H__ */ |