/* * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "internal/op/Lstm.h" #include "internal/op/NodeVisitor.h" #include namespace internal { namespace tflite { namespace op { namespace LSTM { void Node::accept(NodeVisitor &&v) const { v.visit(*this); } } // namespace LSTM } // namespace op } // namespace tflite } // namespace internal namespace internal { namespace tflite { namespace op { namespace LSTM { Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, const uint32_t *outputs) { assert(inputCount == 23 && outputCount == 4); scratch_buffer_index = outputs[0]; output_state_out_index = outputs[1]; cell_state_out_index = outputs[2]; output_index = outputs[3]; input_index = inputs[0]; input_to_input_weights_index = inputs[1]; input_to_forget_weights_index = inputs[2]; input_to_cell_weights_index = inputs[3]; input_to_output_weights_index = inputs[4]; recurrent_to_input_weights_index = inputs[5]; recurrent_to_forget_weights_index = inputs[6]; recurrent_to_cell_weights_index = inputs[7]; recurrent_to_output_weights_index = inputs[8]; cell_to_input_weights_index = inputs[9]; cell_to_forget_weights_index = inputs[10]; cell_to_output_weights_index = inputs[11]; input_gate_bias_index = inputs[12]; forget_gate_bias_index = inputs[13]; cell_bias_index = inputs[14]; output_gate_bias_index = inputs[15]; projection_weights_index = inputs[16]; projection_bias_index = inputs[17]; output_state_in_index = inputs[18]; cell_state_in_index = inputs[19]; activation_index = inputs[20]; cell_threshold_index = inputs[21]; projection_threshold_index = inputs[22]; } } // namespace LSTM } // namespace op } // namespace tflite } // namespace internal