tfp.experimental.auto_batching.instructions.interpret

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

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.

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.

results A tuple of results, which are the values of the variables listed in program.out_vars at termination.

ValueError If an internal invariant is violated, or an error is detected in the program being interpreted.