rm autolog h file

deploy/cpp_infer/include/autolog.h

-// Copyright (c) 2020 PaddlePaddle Authors. 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.
-
-#pragma once
-
-#include <chrono>
-#include <iomanip>
-#include <iostream>
-#include <ostream>
-#include <stdlib.h>
-#include <vector>
-#include <glog/logging.h>
-
-
-class AutoLogger {
-public:
-    AutoLogger(std::string model_name, 
-               bool use_gpu,
-               bool enable_tensorrt,
-               bool enable_mkldnn,
-               int cpu_threads,
-               int batch_size,
-               std::string input_shape,
-               std::string model_precision,
-               std::vector<double> time_info,
-               int img_num) {
-        this->model_name_ = model_name;
-        this->use_gpu_ = use_gpu;
-        this->enable_tensorrt_ = enable_tensorrt;
-        this->enable_mkldnn_ = enable_mkldnn;
-        this->cpu_threads_ = cpu_threads;
-        this->batch_size_ = batch_size;
-        this->input_shape_ = input_shape;
-        this->model_precision_ = model_precision;
-        this->time_info_ = time_info;
-        this->img_num_ = img_num;
-    }
-    void report() {
-        LOG(INFO) << "----------------------- Config info -----------------------";
-        LOG(INFO) << "runtime_device: " << (this->use_gpu_ ? "gpu" : "cpu");
-        LOG(INFO) << "ir_optim: " << "True";
-        LOG(INFO) << "enable_memory_optim: " << "True";
-        LOG(INFO) << "enable_tensorrt: " << this->enable_tensorrt_;
-        LOG(INFO) << "enable_mkldnn: " << (this->enable_mkldnn_ ? "True" : "False");
-        LOG(INFO) << "cpu_math_library_num_threads: " << this->cpu_threads_;
-        LOG(INFO) << "----------------------- Data info -----------------------";
-        LOG(INFO) << "batch_size: " << this->batch_size_;
-        LOG(INFO) << "input_shape: " << this->input_shape_;
-        LOG(INFO) << "data_num: " << this->img_num_;
-        LOG(INFO) << "----------------------- Model info -----------------------";
-        LOG(INFO) << "model_name: " << this->model_name_;
-        LOG(INFO) << "precision: " << this->model_precision_;
-        LOG(INFO) << "----------------------- Perf info ------------------------";
-        LOG(INFO) << "Total time spent(ms): "
-                  << std::accumulate(this->time_info_.begin(), this->time_info_.end(), 0);
-        LOG(INFO) << "preprocess_time(ms): " << this->time_info_[0] / this->img_num_
-                  << ", inference_time(ms): " << this->time_info_[1] / this->img_num_
-                  << ", postprocess_time(ms): " << this->time_info_[2] / this->img_num_;
-    }
-        
-private:
-    std::string model_name_;
-    bool use_gpu_ = false;
-    bool enable_tensorrt_ = false;
-    bool enable_mkldnn_ = true;
-    int cpu_threads_ = 10;
-    int batch_size_ = 1;
-    std::string input_shape_ = "dynamic";
-    std::string model_precision_ = "fp32";
-    std::vector<double> time_info_;
-    int img_num_;
-};

deploy/cpp_infer/src/main.cpp

@@ -35,7 +35,6 @@
 #include <sys/stat.h>
 
 #include <gflags/gflags.h>
-#include <include/autolog.h>
 
 DEFINE_bool(use_gpu, false, "Infering with GPU or CPU.");
 DEFINE_int32(gpu_id, 0, "Device id of GPU to execute.");