/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements.  See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership.  The ASF licenses this file
* to you 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.
*/

/*
* Copyright (c) 2021, Open AI Lab
* Author: lswang@openailab.com
*/

#include "../trt_executor.hpp"

#include <cmath>
#include <NvInferRuntime.h>


bool TensorRTEngine::AddTanhNode(struct graph *ir_graph, struct node *node)
{
    struct tensor* tanh_input = get_ir_graph_tensor(ir_graph, node->input_tensors[0]);
    struct tensor* tanh_output = get_ir_graph_tensor(ir_graph, node->output_tensors[0]);
    if (nullptr == tanh_input || nullptr == tanh_output)
    {
        fprintf(stderr, "Tengine: Get input & output for Reshape(id: %d, name: %s) layer failed.\n", node->index, node->name);
        return false;
    }

    if (!check_if_input_in_map(tanh_input->index, this->tensor_swap_map))
    {
        fprintf(stderr, "Tengine: Query input for Reshape(id: %d, name: %s) layer failed.\n", node->index, node->name);
        return false;
    }

    nvinfer1::ITensor* trt_tensor = tensor_real_map[tensor_swap_map[tanh_input->index]];

    nvinfer1::IActivationLayer* layer = this->network->addActivation(*trt_tensor,nvinfer1::ActivationType::kTANH);
    if (nullptr == layer)
    {
        fprintf(stderr, "Tengine: Add Reshape(id: %d, name: %s) layer failed.\n", node->index, node->name);
        return false;
    }

    layer->setName(node->name);

    this->layer_map[node->index] = layer;

    nvinfer1::ITensor* tanh_output_tensor = layer->getOutput(0);

    this->tensor_real_map[node->output_tensors[0]] = tanh_output_tensor;
    this->tensor_swap_map[node->output_tensors[0]] = node->output_tensors[0];

    return true;
}
