EVOLUTION-MANAGER

Edit File: ops_util.py

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Ops util to handle ops for Lite.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections from tensorflow.lite.python import wrap_toco from tensorflow.python.util.tf_export import tf_export class SupportedOp(collections.namedtuple("SupportedOp", ["op"])): """Spec of supported ops. Args: op: string of op name. """ @tf_export(v1=["lite.experimental.get_potentially_supported_ops"]) def get_potentially_supported_ops(): """Returns operations potentially supported by TensorFlow Lite. The potentially support list contains a list of ops that are partially or fully supported, which is derived by simply scanning op names to check whether they can be handled without real conversion and specific parameters. Given that some ops may be partially supported, the optimal way to determine if a model's operations are supported is by converting using the TensorFlow Lite converter. Returns: A list of SupportedOp. """ ops = wrap_toco.wrapped_get_potentially_supported_ops() return [SupportedOp(o["op"]) for o in ops]