A Python function that builds a computation to apply to the
input. If the function takes n inputs, 'inputs' should be a list of n
tensors.
computation may return a list of operations and tensors. Tensors must
come before operations in the returned list. The return value of
compile is a list of tensors corresponding to the tensors from the
output of computation.
All Operations returned from computation will be executed when
evaluating any of the returned output tensors.
inputs
A list of inputs or None (equivalent to an empty list). Each input
can be a nested structure containing values that are convertible to
tensors. Note that passing an N-dimension list of compatible values will
result in a N-dimension list of scalar tensors rather than a single Rank-N
tensors. If you need different behavior, convert part of inputs to tensors
with tf.convert_to_tensor.
Returns
Same data structure as if computation(*inputs) is called directly with some
exceptions for correctness. Exceptions include:
1) None output: a NoOp would be returned which control-depends on
computation.
2) Single value output: A tuple containing the value would be returned.
3) Operation-only outputs: a NoOp would be returned which
control-depends on computation.
Raises
RuntimeError
if called when eager execution is enabled.
Known issues
When a tf.random operation is built with XLA, the implementation doesn't
pass the user provided seed to the XLA compiler. As such, the XLA compiler
generates a random number and uses it as a seed when compiling the
operation. This implementation causes a violation of the Tensorflow
defined semantics in two aspects. First, changing the value of the user
defined seed doesn't change the numbers generated by the operation.
Second, when a seed is not specified, running the program multiple times
will generate the same numbers.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-11-04 UTC."],[],[]]