diff options
Diffstat (limited to 'arm_compute')
-rw-r--r-- | arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h | 8 | ||||
-rw-r--r-- | arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h | 4 |
2 files changed, 6 insertions, 6 deletions
diff --git a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h index f31560cb86..d63f5d4907 100644 --- a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h +++ b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h @@ -50,16 +50,16 @@ public: /** Initialise the kernel's input and output. * - * @param[in] input Source tensor. Data types supported: F32. - * @param[out] output Destination tensor. Data types supported: F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] input Source tensor. Data types supported: F16/F32. + * @param[out] output Destination tensor. Data types supported: F16/F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. * @param[in] inner_border Top and right inner border sizes. These rows and columns will be filled with zero. * @param[in] info Contains padding and stride information described in @ref PadStrideInfo. */ void configure(const ICLTensor *input, ICLTensor *output, const BorderSize &inner_border, const PadStrideInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayerUpsample * - * @param[in] input Source tensor info. Data types supported: F32. - * @param[in] output Destination tensor info. Data types supported: F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] input Source tensor info. Data types supported: F16/F32. + * @param[in] output Destination tensor info. Data types supported: F16/F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. * @param[in] inner_border Top and right inner border sizes. These rows and columns will be filled with zero. * @param[in] info Contains padding and stride information described in @ref PadStrideInfo. * diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h index a66fc258bb..f29039a97c 100644 --- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h @@ -64,7 +64,7 @@ public: CLDeconvolutionLayer(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,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: 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. @@ -77,7 +77,7 @@ public: 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 CLDeconvolutionLayer * - * @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. + * @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: 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. |