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The lambda executor handles lambda expressions and related abstractions.
tff.framework.LambdaExecutor( target_executor )
This executor understands TFF computation compositional constructs, including lambdas, blocks, references, calls, tuples, and selections, and orchestrates the execution of these constructs, while delegating all the non-compositional constructs (tensorflow, intrinsics, data, or placement) to a target executor.
NOTE: Not all lambda expressions are executed by this lambda executor. If the computation contains a call to an instrinsic that takes a functional argument, that functional argument is fed in its entirety to the target executor rather than being parsed by the lambda executor (since its execution needs to happen elsewhere).
The arguments to be ingested can be either federated computations (those are natively interpreted), or whatever other form of arguments are understood by the target executor.
target_executor: An instance of
executor_base.Executorto which the lambda executor delegates all that it cannot handle by itself.
Release resources associated with this Executor, if any.
If the executor has one or more target Executors, implementation of this method must close them.
create_call( *args, **kwargs )
create_selection( *args, **kwargs )
create_tuple( *args, **kwargs )
create_value( *args, **kwargs )