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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLLSTMLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLLSTMLayer.h | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLLSTMLayer.h b/arm_compute/runtime/CL/functions/CLLSTMLayer.h index a94f239472..a29513aaae 100644 --- a/arm_compute/runtime/CL/functions/CLLSTMLayer.h +++ b/arm_compute/runtime/CL/functions/CLLSTMLayer.h @@ -102,6 +102,52 @@ public: const ICLTensor *output_state_in, const ICLTensor *cell_state_in, ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); + /** Initialize function's tensors. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor. Input is a 2D tensor with dimensions [input_size, batch_size]. Data types supported: F16/F32. + * @param[in] input_to_forget_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] input_to_cell_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] input_to_output_weights 2D weights tensor with dimensions [input_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_forget_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_cell_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] recurrent_to_output_weights 2D weights tensor with dimensions [output_size, num_units]. Data type supported: Same as @p input. + * @param[in] forget_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] cell_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] output_gate_bias 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * @param[in] output_state_in 2D weights tensor with dimensions [output_size, batch_size]. Data type supported: Same as @p input. + * @param[in] cell_state_in 2D tensor with dimensions [num_units, batch_size]. Data type supported: Same as @p input. + * @param[out] scratch_buffer 2D tensor with dimensions [num_units * 4, batch_size] with CIFG or [num_units * 3, batch_size] without CIGF. Data type supported: Same as @p input. + * @param[out] output_state_out 2D weights tensor with dimensions [output_size, batch_size]. Data type supported: Same as @p input. + * @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 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_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * forget_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * cell_layer_norm_weights 1D weights tensor with dimensions [num_units]. Data type supported: Same as @p input. + * output_layer_norm_weights 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 (Optional) The clipping threshold for the cell state, such that values are bound within [-cell_clip, cell_clip]. + * If set to 0.0f then clipping is disabled. + * @param[in] projection_threshold (Optional) The clipping threshold for the output from the projection layer, such that values are bound within [-proj_clip, proj_clip]. + * If set to 0.0f then clipping is disabled. + */ + void configure(const CLCompileContext &compile_context, const ICLTensor *input, + const ICLTensor *input_to_forget_weights, const ICLTensor *input_to_cell_weights, const ICLTensor *input_to_output_weights, + const ICLTensor *recurrent_to_forget_weights, const ICLTensor *recurrent_to_cell_weights, const ICLTensor *recurrent_to_output_weights, + const ICLTensor *forget_gate_bias, const ICLTensor *cell_bias, const ICLTensor *output_gate_bias, + const ICLTensor *output_state_in, const ICLTensor *cell_state_in, + ICLTensor *scratch_buffer, ICLTensor *output_state_out, ICLTensor *cell_state_out, ICLTensor *output, + const LSTMParams<ICLTensor> &lstm_params, const ActivationLayerInfo &activation_info, float cell_threshold = 0.f, float projection_threshold = 0.f); /** Static function to check if given info will lead to a valid configuration of @ref CLLSTMLayer * |