diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h index 42c9e2d3e9..d4166b3830 100644 --- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h +++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h @@ -51,7 +51,7 @@ public: NEFullyConnectedLayerReshapeWeights(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input and output tensors. * - * @param[in] input Weights tensor. The weights must be 2 dimensional. Data types supported: QS8/QS16/F32. + * @param[in] input Weights tensor. The weights must be 2 dimensional. Data types supported: F32. * @param[out] output Destination tensor. Data type supported: Same as @p input. * @param[in] transpose_weights True if the weights must be transposed. Data types supported: Same as @p weights. * @param[in] is_batched_fc_layer True if it is a batched fully connected layer @@ -59,7 +59,7 @@ public: void configure(const ITensor *input, ITensor *output, bool transpose_weights, bool is_batched_fc_layer); /** Static function to check if given info will lead to a valid configuration of @ref CLFullyConnectedLayerReshapeWeights * - * @param[in] input Weights tensor info. The weights must be 2 dimensional. Data types supported: QS8/QS16/F32. + * @param[in] input Weights tensor info. The weights must be 2 dimensional. Data types supported: F32. * @param[in] output Destination tensor info. Data type supported: Same as @p input. * @param[in] transpose_weights True if the weights must be transposed. Data types supported: Same as @p weights. * @param[in] is_batched_fc_layer True if it is a batched fully connected layer @@ -104,7 +104,7 @@ public: NEFullyConnectedLayer &operator=(NEFullyConnectedLayer &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data type supported: QS8/QS16/F16/F32. + * @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. @@ -114,7 +114,7 @@ public: void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose_weights = true, bool are_weights_reshaped = false); /** 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: QS8/QS16/F16/F32. + * @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. |