tfp.experimental.auto_batching.instructions.interpret
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Interprets a program in this instruction language and returns the result.
View aliases
Main aliases
tfp.experimental.auto_batching.frontend.instructions.interpret, tfp.experimental.auto_batching.frontend.st.inst.interpret, tfp.experimental.auto_batching.frontend.stack.inst.interpret, tfp.experimental.auto_batching.stack_optimization.inst.interpret, tfp.experimental.auto_batching.stackless.inst.interpret
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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-11-21 UTC.
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View source on GitHub