Inserts an identity TF graph called on References under
For ease of reasoning about and proving completeness of TFF-to-TF translation capabilities, we will maintain the invariant that we constantly pass up the AST instances of the pattern:
Call / \ CompiledComputation Reference
Any block of TFF reducible to TensorFlow must have a functional type signature without nested functions, and therefore we may assume there is a single Reference in the code we are parsing to TF. We continually push logic into the compiled computation as we make our way up the AST, preserving the pattern above; when we hit the lambda that binds this reference, we simply unwrap the call.
To perform this process, we must begin with this pattern; otherwise there may be some arbitrary TFF constructs present between any occurrences of TF and the arguments to which they are applied, e.g. arbitrary selections from and nesting of tuples containing references.
insert_called_tf_identity_at_leaves ensures that the pattern above is present
at the leaves of any portion of the TFF AST which is destined to be reduced to
We detect such a destiny by checking for the existence of a
computation_building_blocks.Lambda whose parameter and result type can both be
bound into TensorFlow. This pattern is enforced here as parameter validation on
comp: Instance of
computation_building_blocks.Lambdawhose AST we will traverse, replacing appropriate instances of
computation_building_blocks.Referencewith graphs representing thei identity function of the appropriate type called on the same reference.
compmust declare a parameter and result type which are both able to be stamped in to a TensorFlow graph.
A possibly modified version of
comp, where any references now have a parent of
computation_building_blocks.Call with function an instance of