pytorch

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/**
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 * Copyright (c) 2016-present, Facebook, Inc.
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 *
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 * Licensed under the Apache License, Version 2.0 (the "License");
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 * you may not use this file except in compliance with the License.
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 * You may obtain a copy of the License at
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 *
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 *     http://www.apache.org/licenses/LICENSE-2.0
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 *
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 * Unless required by applicable law or agreed to in writing, software
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 * distributed under the License is distributed on an "AS IS" BASIS,
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 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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 * See the License for the specific language governing permissions and
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 * limitations under the License.
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 */
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#include "caffe2/core/flags.h"
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#include "caffe2/core/init.h"
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#include "caffe2/predictor/predictor.h"
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#include "caffe2/utils/proto_utils.h"
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C10_DEFINE_string(init_net, "", "The given path to the init protobuffer.");
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C10_DEFINE_string(
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    predict_net,
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    "",
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    "The given path to the predict protobuffer.");
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namespace caffe2 {
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void run() {
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  if (FLAGS_init_net.empty()) {
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    LOG(FATAL) << "No init net specified. Use --init_net=/path/to/net.";
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  }
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  if (FLAGS_predict_net.empty()) {
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    LOG(FATAL) << "No predict net specified. Use --predict_net=/path/to/net.";
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  }
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  caffe2::NetDef init_net, predict_net;
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  CAFFE_ENFORCE(ReadProtoFromFile(FLAGS_init_net, &init_net));
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  CAFFE_ENFORCE(ReadProtoFromFile(FLAGS_predict_net, &predict_net));
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  // Can be large due to constant fills
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  VLOG(1) << "Init net: " << ProtoDebugString(init_net);
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  LOG(INFO) << "Predict net: " << ProtoDebugString(predict_net);
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  auto predictor = std::make_unique<Predictor>(init_net, predict_net);
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  LOG(INFO) << "Checking that a null forward-pass works";
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  Predictor::TensorList inputVec, outputVec;
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  (*predictor)(inputVec, &outputVec);
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  CAFFE_ENFORCE_GT(outputVec.size(), 0);
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}
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}
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int main(int argc, char** argv) {
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  caffe2::GlobalInit(&argc, &argv);
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  caffe2::run();
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  // This is to allow us to use memory leak checks.
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  caffe2::ShutdownProtobufLibrary();
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  return 0;
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}
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