tf.estimator.SessionRunContext

Contains the results of Session.run().

View aliases

Compat aliases for migration

tf.compat.v1.estimator.SessionRunValues, tf.compat.v1.train.SessionRunValues

tf.estimator.SessionRunValues(
    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`

TensorFlow

tf.estimator / SessionRunContext

View aliases

Args

Attributes

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.estimator / SessionRunContext

View aliases

Args

Attributes