diff options
Diffstat (limited to 'arm_compute/runtime/CL')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
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. |