If restore_checkpoint_path is supplied, restore from checkpoint. Otherwise,
init all variables.
Args
restore_checkpoint_path
A string containing the path to a checkpoint to
restore.
output_dict
A dict mapping string names to Tensor objects to run.
Tensors must all be from the same graph.
feed_dict
dict object mapping Tensor objects to input values to feed.
Returns
Dict of values read from output_dict tensors. Keys are the same as
output_dict, values are the results read from the corresponding Tensor
in output_dict.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.learn.infer\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/learn/python/learn/graph_actions.py#L711-L735) |\n\nRestore graph from `restore_checkpoint_path` and run `output_dict` tensors. (deprecated) \n\n tf.contrib.learn.infer(\n restore_checkpoint_path, output_dict, feed_dict=None\n )\n\n| **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed after 2017-02-15. Instructions for updating: graph_actions.py will be deleted. Use tf.train.\\* utilities instead. You can use learn/estimators/estimator.py as an example.\n\nIf `restore_checkpoint_path` is supplied, restore from checkpoint. Otherwise,\ninit all variables.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------------|----------------------------------------------------------------------------------------------------|\n| `restore_checkpoint_path` | A string containing the path to a checkpoint to restore. |\n| `output_dict` | A `dict` mapping string names to `Tensor` objects to run. Tensors must all be from the same graph. |\n| `feed_dict` | `dict` object mapping `Tensor` objects to input values to feed. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Dict of values read from `output_dict` tensors. Keys are the same as `output_dict`, values are the results read from the corresponding `Tensor` in `output_dict`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|----------------------------------------------------|\n| `ValueError` | if `output_dict` or `feed_dicts` is None or empty. |\n\n\u003cbr /\u003e"]]
View source on GitHub