diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h | 34 |
1 files changed, 1 insertions, 33 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h index 4eb684b9aa..62977a7647 100644 --- a/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h @@ -86,37 +86,6 @@ public: NEDeconvolutionLayer &operator=(NEDeconvolutionLayer &&) = default; /** Default destructor */ virtual ~NEDeconvolutionLayer() = default; - /** 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: F32/F16/QASYMM8. - * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias Optional, ignored if NULL. The biases have one dimension. Data type supported: Data types supported: S32 for QASYMM8 input, F32 for F32 input, F16 for F16 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] 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. - * - */ - void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info, - unsigned int inner_border_right, unsigned int inner_border_top); - /** Static function to check if given info will lead to a valid configuration of @ref NEDeconvolutionLayer - * - * @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: F32/F16/QASYMM8. - * @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: Data types supported: S32 for QASYMM8 input, F32 for F32 input, F16 for F16 input. - * @param[in] output Output tensor info. 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] 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. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &info, - unsigned int inner_border_right, unsigned int inner_border_top); /** Set the input, weights, biases and output tensors. * @@ -154,8 +123,7 @@ private: const ITensor *_original_weights; ITensor *_input; PadStrideInfo _info; - std::pair<unsigned int, unsigned int> _inner_border; - bool _is_prepared; + bool _is_prepared; }; } // arm_compute #endif /* __ARM_COMPUTE_NEDECONVOLUTIONLAYER_H__ */ |