tf.compat.v1.assign is mostly compatible with eager execution and tf.function. However, argument 'validate_shape' will be ignored. To avoid shape validation, set 'shape' to tf.TensorShape(None) when constructing the variable:
This operation outputs a Tensor that holds the new value of ref after the value has been assigned. This makes it easier to chain operations that need to use the reset value.
Args
ref
A mutable Tensor. Should be from a Variable node. May be uninitialized.
value
A Tensor. Must have the same shape and dtype as ref. The value to be assigned to the variable.
validate_shape
An optional bool. Defaults to True. If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to. If false, 'ref' will take on the shape of 'value'.
use_locking
An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
name
A name for the operation (optional).
Returns
A Tensor that will hold the new value of ref after the assignment has completed.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]