# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for lite.py functionality related to select TF op usage."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.lite.python import lite
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from tensorflow.lite.python.interpreter import Interpreter
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from tensorflow.python.client import session
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.platform import test
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@test_util.run_v1_only('b/120545219')
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class FromSessionTest(test_util.TensorFlowTestCase):
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def testFlexMode(self):
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in_tensor = array_ops.placeholder(
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shape=[1, 16, 16, 3], dtype=dtypes.float32)
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out_tensor = in_tensor + in_tensor
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sess = session.Session()
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# Convert model and ensure model is not None.
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converter = lite.TFLiteConverter.from_session(sess, [in_tensor],
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[out_tensor])
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converter.target_ops = set([lite.OpsSet.SELECT_TF_OPS])
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tflite_model = converter.convert()
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self.assertTrue(tflite_model)
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# Ensures the model contains TensorFlow ops.
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# TODO(nupurgarg): Check values once there is a Python delegate interface.
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interpreter = Interpreter(model_content=tflite_model)
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with self.assertRaises(RuntimeError) as error:
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interpreter.allocate_tensors()
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self.assertIn(
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'Regular TensorFlow ops are not supported by this interpreter. Make '
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'sure you invoke the Flex delegate before inference.',
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str(error.exception))
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if __name__ == '__main__':
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test.main()
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