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| author | Anthony Barbier <anthony.barbier@arm.com> | 2017-11-23 18:02:04 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:04 +0000 |
| commit | f202e50a8b89f143f74c393e33e0154817bd3c1d (patch) | |
| tree | e9653958a6e343c1d7610840b66b9391d3fcf75b /arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h | |
| parent | dbfb31cdee063ec61e0ab1087f99f235c12d2e7e (diff) | |
| download | ComputeLibrary-f202e50a8b89f143f74c393e33e0154817bd3c1d.tar.gz | |
COMPMID-556 Improved indentation and error handling in format_doxygen.py
Change-Id: I6f51ffe6c324d9da500716b52c97c344f2a2a164
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110486
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h index 3433e77ba1..8757bc63aa 100644 --- a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h @@ -68,18 +68,18 @@ public: /** Constructor */ NEDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input, weights, biases and output tensors. - * - * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. - * @param[in] weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. - * @param[in] bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Same as @p input. - * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. - * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. - * @param[in] ax The number of zeros added to right edge of the input. - * @param[in] ay The number of zeros added to top edge of the input. - * @param[in] upscalex How much to scale the X axis. - * @param[in] upscaley How much to scale the Y axis. - * - */ + * + * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. + * @param[in] weights The 4d weights with dimensions [width, height, OFM, IFM]. Data type supported: Same as @p input. + * @param[in] bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Same as @p input. + * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. + * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. + * @param[in] ax The number of zeros added to right edge of the input. + * @param[in] ay The number of zeros added to top edge of the input. + * @param[in] upscalex How much to scale the X axis. + * @param[in] upscaley How much to scale the Y axis. + * + */ void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info, unsigned int ax, unsigned int ay, float upscalex, float upscaley); |