tfp.experimental.auto_batching.instructions.interpret
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Interprets a program in this instruction language and returns the result.
tfp.experimental.auto_batching.instructions.interpret(
program, *inputs
)
This is a definitional interpreter; its purpose is to define the
semantics of the instruction language. As such, it does no
auto-batching, and generally strives to be as simple as possible.
It also does not stage graph computations, so will only work in
Eager mode TensorFlow.
Args |
|---|
program
|
The Program tuple to interpret.
|
*inputs
|
Values to pass to the program. The length of inputs must be
the same as the length of program.vars_in.
|
Returns |
|---|
results
|
A tuple of results, which are the values of the variables listed
in program.out_vars at termination.
|
Raises |
|---|
ValueError
|
If an internal invariant is violated, or an error is
detected in the program being interpreted.
|
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Last updated 2023-11-21 UTC.
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View source on GitHub