A tf.compat.v1.train.Saver adapter for use when eager execution is enabled.
tf.contrib.eager.Saver(var_list)
Saver's name-based checkpointing strategy is fragile. Please switch to
tf.train.Checkpoint or tf.keras.Model.save_weights, which perform a more
robust object-based saving. These APIs will load checkpoints written by
Saver.
Args
var_list
The list of variables that will be saved and restored. Either a
list of tf.Variable objects, or a dictionary mapping names to
tf.Variable objects.
Raises
RuntimeError
if invoked when eager execution has not been enabled.
If provided the global step number is appended to file_prefix
to create the checkpoint filename. The optional argument can be a
Tensor, a Variable, or an integer.
Returns
A string: prefix of filenames created for the checkpoint. This may be
an extension of file_prefix that is suitable to pass as an argument
to a subsequent call to restore().
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]