From 7d66a8e3f603f2cd363f04a750847e3f9eabdfd4 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Tue, 17 Jul 2018 12:28:42 +0100 Subject: COMPMID-1386: Add support for converting weights for CL. Change-Id: I62e3ead903366baeeb1488f233a9b8b0c388c9de Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/140403 Tested-by: Jenkins Reviewed-by: Giorgio Arena Reviewed-by: Anthony Barbier --- .../runtime/NEON/functions/NEFullyConnectedLayer.h | 28 +++++++++++----------- 1 file changed, 14 insertions(+), 14 deletions(-) (limited to 'arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h') diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h index 33ac8ecb8a..ea0762ea79 100644 --- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h +++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h @@ -104,26 +104,26 @@ public: NEFullyConnectedLayer &operator=(NEFullyConnectedLayer &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data type supported: F16/F32. - * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input. - * @param[in] biases Bias tensor. Can be nullptr. Data type supported:Same as @p input. - * @param[out] output Destination tensor. Data type supported: Same as @p input. - * @param[in] transpose_weights (Optional) Transpose the weights tensor if true. Defaults to true. - * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false. + * @param[in] input Source tensor. Data type supported: F16/F32. + * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input. + * @param[in] biases Bias tensor. Can be nullptr. Data type supported:Same as @p input. + * @param[out] output Destination tensor. Data type supported: Same as @p input. + * @param[in] fc_info (Optional) Fully connected layer additional info */ - void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose_weights = true, bool are_weights_reshaped = false); + void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, + FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLFullyConnectedLayer * - * @param[in] input Source tensor info. Data type supported: F16/F32. - * @param[in] weights Weights tensor info. The weights must be 2 dimensional. Data type supported: Same as @p input - * @param[in] biases Bias tensor info. It can be nullptr. Data type supported:Same as @p input. - * @param[in] output Destination tensor info. Data type supported: Same as @p input. - * @param[in] transpose_weights (Optional) Transpose weights if true. Defaults to true. - * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false. + * @param[in] input Source tensor info. Data type supported: F16/F32. + * @param[in] weights Weights tensor info. The weights must be 2 dimensional. Data type supported: Same as @p input + * @param[in] biases Bias tensor info. It can be nullptr. Data type supported:Same as @p input. + * @param[in] output Destination tensor info. Data type supported: Same as @p input. + * @param[in] fc_info (Optional) Fully connected layer additional info * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, bool transpose_weights = true, bool are_weights_reshaped = false); + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, + FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); //Inherited methods override void run() override; -- cgit v1.2.1