diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NELSTMLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NELSTMLayer.h | 60 |
1 files changed, 31 insertions, 29 deletions
diff --git a/arm_compute/runtime/NEON/functions/NELSTMLayer.h b/arm_compute/runtime/NEON/functions/NELSTMLayer.h index ae13d0c36f..e85e87b88e 100644 --- a/arm_compute/runtime/NEON/functions/NELSTMLayer.h +++ b/arm_compute/runtime/NEON/functions/NELSTMLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -68,22 +68,23 @@ public: * @param[out] cell_state_out 2D tensor with dimensions [num_units, batch_size]. Data type supported: Same as @p input. * @param[out] output Destination tensor. Output is a 2D tensor with dimensions [output_size, batch_size]. * Data types supported: Same as @p input. - * @param[in] lstm_params (Optional) Weights tensors used in peephole optimization: - * input_to_input_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. - * recurrent_to_input_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. - * cell_to_input_weights 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input. - * cell_to_forget_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * cell_to_output_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * input_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input - * projection_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. - * projection_bias 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p input. - * input_layer_norm_coefficients 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * forget_layer_norm_coefficients 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * cell_layer_norm_coefficients 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * output_layer_norm_coefficients 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] lstm_params Weights tensors used in peephole optimization: + * input_to_input_weights (Optional) 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * recurrent_to_input_weights (Optional) 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * cell_to_input_weights (Optional) 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input. + * cell_to_forget_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_to_output_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * input_gate_bias (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input + * projection_weights (Optional) 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * projection_bias (Optional) 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p input. + * input_layer_norm_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * forget_layer_norm_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_layer_norm_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * output_layer_norm_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. * @param[in] activation_info Contains activation information described in @ref ActivationLayerInfo. * @param[in] cell_threshold The clipping threshold for the cell state, such that values are bound within [-cell_clip, cell_clip]. If set to 0.0 then clipping is disabled. - * @param[in] projection_threshold The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled. + * @param[in] projection_threshold The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. + * If set to 0.0 then clipping is disabled. */ void configure(const ITensor *input, const ITensor *input_to_forget_weights, const ITensor *input_to_cell_weights, const ITensor *input_to_output_weights, @@ -112,22 +113,23 @@ public: * @param[in] cell_state_out 2D tensor with dimensions [num_units, batch_size]. Data type supported: Same as @p input. * @param[in] output Destination tensor. Output is a 2D tensor with dimensions [output_size, batch_size]. * Data types supported: Same as @p input. - * @param[in] lstm_params (Optional) Weights tensors used in peephole optimization: - * input_to_input_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. - * recurrent_to_input_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. - * cell_to_input_weights 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input. - * cell_to_forget_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * cell_to_output_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. - * input_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input - * projection_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. - * projection_bias 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p input. - * input_layer_norm_coefficients 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. - * forget_layer_norm_coefficients 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. - * cell_layer_norm_coefficients 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. - * output_layer_norm_coefficients 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] lstm_params Weights tensors used in peephole optimization: + * input_to_input_weights (Optional) 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * recurrent_to_input_weights (Optional) 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * cell_to_input_weights (Optional) 1D weights tensor with dimensions [num_units]. Can be nullptr. Data type supported: Same as @p input. + * cell_to_forget_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_to_output_weights (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * input_gate_bias (Optional) 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input + * projection_weights (Optional) 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * projection_bias (Optional) 1D weights tensor with dimensions [output_size]. Data type supported: Same as @p input. + * input_layer_norm_weights (Optional) 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. + * forget_layer_norm_weights (Optional) 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. + * cell_layer_norm_weights (Optional) 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. + * output_layer_norm_weights (Optional) 1D weights tensor info with dimensions [num_units]. Data type supported: Same as @p input. * @param[in] activation_info Contains activation information described in @ref ActivationLayerInfo. * @param[in] cell_threshold The clipping threshold for the cell state, such that values are bound within [-cell_clip, cell_clip]. If set to 0.0 then clipping is disabled. - * @param[in] projection_threshold The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled. + * @param[in] projection_threshold The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. + * If set to 0.0 then clipping is disabled. * * @return a status */ |