# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. """Unit tests for converting TensorFlow debugging ops to Relay.""" try: import tensorflow.compat.v1 as tf except ImportError: import tensorflow as tf import numpy as np from tvm import relay from tvm.relay.frontend.tensorflow import from_tensorflow def run_relay(graph): mod, params = from_tensorflow(graph.as_graph_def(add_shapes=True)) return relay.create_executor("debug", mod=mod).evaluate()(**params) def test_no_op(): g = tf.Graph() with g.as_default(): no_op = tf.no_op() with tf.Session() as sess: # In TF, the type of a no-op is None. assert sess.run(no_op) is None # In TVM, no-op is currently translated to 0, though it should # probably be none or an empty tuple. np.testing.assert_allclose(0, run_relay(g).numpy()) if __name__ == "__main__": test_no_op()