tfp.experimental.auto_batching.instructions.interpret

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Interprets a program in this instruction language and returns the result.

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.