Exactly like the 'fetches' argument to Session.Run().
Can be a single tensor or op, a list of 'fetches' or a dictionary
of fetches. For example:
fetches = global_step_tensor
fetches = [train_op, summary_op, global_step_tensor]
fetches = {'step': global_step_tensor, 'summ': summary_op}
Note that this can recurse as expected:
fetches = {'step': global_step_tensor,
'ops': [train_op, check_nan_op]}
feed_dict
Exactly like the feed_dict argument to Session.Run()
options
Exactly like the options argument to Session.run(), i.e., a
config_pb2.RunOptions proto.
[null,null,["Last updated 2024-01-23 UTC."],[],[],null,["# tf.estimator.SessionRunArgs\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.15.0.post1/tensorflow/python/training/session_run_hook.py#L185-L207) |\n\nRepresents arguments to be added to a `Session.run()` call. (deprecated)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.estimator.SessionRunArgs`](https://www.tensorflow.org/api_docs/python/tf/estimator/SessionRunArgs), [`tf.compat.v1.train.SessionRunArgs`](https://www.tensorflow.org/api_docs/python/tf/estimator/SessionRunArgs)\n\n\u003cbr /\u003e\n\n tf.estimator.SessionRunArgs(\n fetches, feed_dict=None, options=None\n )\n\n| **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.keras instead.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `fetches` | Exactly like the 'fetches' argument to Session.Run(). Can be a single tensor or op, a list of 'fetches' or a dictionary of fetches. For example: fetches = global_step_tensor fetches = \\[train_op, summary_op, global_step_tensor\\] fetches = {'step': global_step_tensor, 'summ': summary_op} Note that this can recurse as expected: fetches = {'step': global_step_tensor, 'ops': \\[train_op, check_nan_op\\]} |\n| `feed_dict` | Exactly like the `feed_dict` argument to `Session.Run()` |\n| `options` | Exactly like the `options` argument to `Session.run()`, i.e., a config_pb2.RunOptions proto. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|-------------|-----------------------------------------|\n| `fetches` | A `namedtuple` alias for field number 0 |\n| `feed_dict` | A `namedtuple` alias for field number 1 |\n| `options` | A `namedtuple` alias for field number 2 |\n\n\u003cbr /\u003e"]]