diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h | 34 |
1 files changed, 0 insertions, 34 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h index e5b406ee5e..b722b466f0 100644 --- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h @@ -46,40 +46,6 @@ public: /** Set the input, weights, biases and output tensors. * - * @note This method will be deprecated in the next release. - * - * @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: QASYMM8/F16/F32. - * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias (Optional) 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] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. - * @param[in] inner_border_right The number of zeros added to right edge of the input. - * @param[in] inner_border_top The number of zeros added to top edge of the input. - * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. - * - */ - void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info, - unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info = WeightsInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer - * - * @note This method will be deprecated in the next release. - * - * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32. - * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. - * @param[in] output Output tensor info. The output has the same number of dimensions as the @p input. - * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. - * @param[in] inner_border_right The number of zeros added to right edge of the input. - * @param[in] inner_border_top The number of zeros added to top edge of the input. - * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info, - unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info = WeightsInfo()); - - /** 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: QASYMM8/F16/F32. * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. |