tf.estimator.SessionRunValues

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Contains the results of Session.run().

tf.estimator.SessionRunValues(
    _cls, results, options, run_metadata
)

In the future we may use this object to add more information about result of run without changing the Hook API.

Args:

• results: The return values from Session.run() corresponding to the fetches attribute returned in the RunArgs. Note that this has the same shape as the RunArgs fetches. For example: fetches = global_step_tensor => results = nparray(int) fetches = [train_op, summary_op, global_step_tensor] => results = [None, nparray(string), nparray(int)] fetches = {'step': global_step_tensor, 'summ': summary_op} => results = {'step': nparray(int), 'summ': nparray(string)}
• options: RunOptions from the Session.run() call.
• run_metadata: RunMetadata from the Session.run() call.

Attributes:

• results
• options
• run_metadata