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Created with Raphaël 2.2.031Jan3029282724232221201817161514131098763230Dec27262320191817161312111096543227Nov2625242221201918161514131287654131Oct302928252423221716151411109874325Sep24201917161312111096543230Aug292827262322212019151413121312987652129Jul26252423222019Update the extract functions in the `canonical_form_utils` modules to be private.Updates callsites to reflect the fact that the local executor is the default.Update `canonical_form_utils.replace_intrinsics_with_bodies` to be private.Add helper functions required to handle degenerate cases of canonical form involving secure sum intrinsic.Implement Dispose and call it from RemoteExecutorBump version of attr pip package.Handle string representations of empty collections.Update to newest releases tensorflow and tensorflow-addons pip packages.Refactor type checking in the `canonical_form_utils` module.Update type checking in `canonical_form_utils` to handle the all the `CanonicalForm` attributes consistently.Reduce strictness of comparing execution time metric to 1 millisecond instead of 0.01 milliseconds.Convert record to list if it cannot be converted to dict in default type_fns for build_dp_aggregate.Extract the logic to insert a fake client output into a helper function.Remove unnecessary type check on the return value of `consolidate_and_extract_local_processing`.Update `check_tensorflow_compatible_type` to have a more generic error message.Add `contains_called_intrinsic` helper function.Be compatible with cutomized keras layer in TFF.Update benchmarks to run.Update transformations to support the `secure_sum` intrinsic.Remove unused test utility.Implements `deduplicate_called_graphs`.Internal.Close ConcurrentExecutor thread at end of program rather than in close()Implements `generate_tensorflow_representing_block`.Delete cache across executor closeRemoved the special casing of extracting a reference to the top level lambda.Removes ReferenceExecutor-only benchmark, as this is no longer the default.Centralized training for stackoverflow model.Remove string comparison from unit test.Remove extra indent in the doc.This CL creates a `build_personalization_eval` API which builds the TFF computation for evaluating personalization strategies.Adds experimental capability to pin more than one client on a TFF bottom stack.Integrate sizing_executor to be available when running trainingUpdated process for creating Docker images of the Remote Executor ServiceAdd ClientData convenience helpersUpdated the ConcurrentExecutor to re-initialize the event loop after close() in case it is used in multiple computations.Adjusts semantics of `group_block_locals_by_namespace` to return parallel structure of variable names bound to these comps.Add `secure_sum` intrinsic to TFF.Fix order-dependent test.Update references to simple_fedavg in `Using TFF for Federated Learning Research`.