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.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]