【问题标题】:tensorflow c++ SetDefaultDevice in multi-gpu mode多GPU模式下的tensorflow c ++ SetDefaultDevice
【发布时间】:2018-09-06 15:23:15
【问题描述】:

我想在多个 GPU 上加载相同的图表以进行推理,但是我无法使用 graph::SetDefaultDevice 将图表与设备关联起来。该问题不在 SetDefaultDevice 中出现,而是在稍后创建与图的会话时出现。这是从tensorflow的example_trainer.cc中提取的一个简单示例

#include <tensorflow/core/platform/env.h>
#include <tensorflow/core/public/session.h>
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/core/graph/default_device.h"

int main() {
  using namespace tensorflow;
  using namespace tensorflow::ops;
  Scope root = Scope::NewRootScope();
  auto A = Const(root, { {3.f, 2.f}, {-1.f, 0.f} }); 
  auto b = Const(root, { {3.f, 5.f} }); 
  auto v = MatMul(root.WithOpName("v"), A, b, MatMul::TransposeB(true));

  GraphDef def;
  TF_CHECK_OK(root.ToGraphDef(&def));

  graph::SetDefaultDevice(false ? "/device:GPU:0" : "/cpu:0", &def);
  /*
  for (auto &node: *def.mutable_node()) {
        node.set_device("/cpu:0");
        std::cout << node.name() << " = '" << node.device() <<"'"<< std::endl;
  }
  std::cout << "=======================\n";
  */
  SessionOptions options;
  std::unique_ptr<Session> session(NewSession(options));
  TF_CHECK_OK(session->Create(def));
  return 0;
}

运行时出现以下错误

2018-09-06 18:18:13.853316: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-09-06 18:18:13.856079: F /home/daniel/tensorflow_cc/example/example.cpp:27] Non-OK-status: session->Create(def) status: Not found: No attr named '/cpu:0' in NodeDef:
     [[Node: Const = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [3 2][-1]...>, _device="/cpu:0"]()]]
     [[Node: Const = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [3 2][-1]...>, _device="/cpu:0"]()]]
Aborted (core dumped)

如果我删除 SetDefault Device 调用,它会完美运行。我也尝试在带有 GPU 的机器上执行此操作,但没有成功。

我知道问题不在于 SetDefaultDevice,因为手动设置每个节点的设备最终会在创建会话时遇到同样的问题。

Const = '/cpu:0'
Const_1 = '/cpu:0'
v = '/cpu:0'
=======================
2018-09-06 18:15:05.966337: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-09-06 18:15:05.969048: F /home/daniel/tensorflow_cc/example/example.cpp:26] Non-OK-status: session->Create(def) status: Not found: No attr named '/cpu:0' in NodeDef:
     [[Node: Const = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [3 2][-1]...>, _device="/cpu:0"]()]]
     [[Node: Const = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [2,2] values: [3 2][-1]...>, _device="/cpu:0"]()]]
Aborted (core dumped)

【问题讨论】:

    标签: c++ tensorflow machine-learning deep-learning


    【解决方案1】:

    这似乎只是单体构建 (--config=monolithic) 的问题,即构建 libtensorflow_cc.so 时。我不确定,但可能与

    https://github.com/tensorflow/tensorflow/issues/5379 https://github.com/tensorflow/tensorflow/issues/16291

    【讨论】:

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