tf.estimator.NanTensorHook

Monitors the loss tensor and stops training if loss is NaN.

Inherits From: SessionRunHook

Can either fail with exception or just stop training.

loss_tensor Tensor, the loss tensor.
fail_on_nan_loss bool, whether to raise exception when loss is NaN.

Methods

after_create_session

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Called when new TensorFlow session is created.

This is called to signal the hooks that a new session has been created. This has two essential differences with the situation in which begin is called:

  • When this is called, the graph is finalized and ops can no longer be added to the graph.
  • This method will also be called as a result of recovering a wrapped session, not only at the beginning of the overall session.

Args
session A TensorFlow Session that has been created.
coord A Coordinator object which keeps track of all threads.

after_run

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Called after each call to run().

The run_values argument contains results of requested ops/tensors by before_run().

The run_context argument is the same one send to before_run call. run_context.request_stop() can be called to stop the iteration.

If session.run() raises any exceptions then after_run() is not called.

Args
run_context A SessionRunContext object.
run_values A SessionRunValues object.

before_run

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Called before each call to run().

You can return from this call a