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Results 1 - 3 of 3 for StartAndCollectCostGraph (0.21 sec)

  1. tensorflow/cc/training/queue_runner.h

      Status StartAndCollectCostGraph(Session* sess,
                                      const RunOptions& run_options = RunOptions());
    
      /// Starts the queue runner with the given session, and wait for up to the
      /// specified time (in milliseconds) for the queues to start to fill up.
      Status Start(Session* sess, int wait_for_ms);
      Status StartAndCollectCostGraph(Session* session, int wait_for_ms,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Aug 31 18:27:00 UTC 2022
    - 5K bytes
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  2. tensorflow/cc/training/queue_runner.cc

      // Cannot run Stop() here because the session might already be closed or
      // destroyed.
      Join().IgnoreError();
    }
    
    Status QueueRunner::Start(Session* sess) { return Start(sess, 0); }
    
    Status QueueRunner::StartAndCollectCostGraph(Session* sess,
                                                 const RunOptions& run_options) {
      SetRunArgumentsAndCostGraph(run_options);
      return Start(sess, 0);
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 13 08:30:37 UTC 2024
    - 7K bytes
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  3. tensorflow/cc/training/queue_runner_test.cc

          BuildQueueRunnerDef(kQueueName, {kEnqueueOp0}, kCloseOp0, kCancelOp0, {});
      std::unique_ptr<QueueRunner> qr;
      TF_EXPECT_OK(QueueRunner::New(queue_runner_def, &qr));
      RunOptions run_options;
      TF_CHECK_OK(qr->StartAndCollectCostGraph(session.get(), run_options));
    
      // Make sure there was at least one element enqueued in q0: this prevents a
      // race condition where we close the queue before it was populated.
      std::vector<Tensor> dq0;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Sep 21 06:27:51 UTC 2019
    - 14.7K bytes
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