# Copyright 2017 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. # ============================================================================== """Tests for continue_statements module.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensorflow.python.autograph.converters import continue_statements from tensorflow.python.autograph.core import converter_testing from tensorflow.python.eager import context as tfe_ctx from tensorflow.python.framework import constant_op from tensorflow.python.platform import test class ContinueCanonicalizationTest(converter_testing.TestCase): def assertTransformedEquivalent(self, test_fn, *inputs): with self.converted(test_fn, continue_statements, {}, constant_op.constant) as result: self.assertEqual(test_fn(*inputs), result.test_fn(*inputs)) def test_basic(self): def test_fn(x): v = [] while x > 0: x -= 1 if x % 2 == 0: continue v.append(x) return v with tfe_ctx.eager_mode(): self.assertTransformedEquivalent(test_fn, 0) self.assertTransformedEquivalent(test_fn, 1) self.assertTransformedEquivalent(test_fn, 3) self.assertTransformedEquivalent(test_fn, 4) def test_for_loop(self): def test_fn(a): v = [] for x in a: x -= 1 if x % 2 == 0: continue v.append(x) return v with tfe_ctx.eager_mode(): self.assertTransformedEquivalent(test_fn, []) self.assertTransformedEquivalent(test_fn, [1]) self.assertTransformedEquivalent(test_fn, [2]) self.assertTransformedEquivalent(test_fn, [1, 2, 3]) def test_nested(self): def test_fn(x): v = [] u = [] w = [] while x > 0: x -= 1 if x % 2 == 0: if x % 3 != 0: u.append(x) else: w.append(x) continue v.append(x) return v, u, w with tfe_ctx.eager_mode(): self.assertTransformedEquivalent(test_fn, 0) self.assertTransformedEquivalent(test_fn, 1) self.assertTransformedEquivalent(test_fn, 3) self.assertTransformedEquivalent(test_fn, 4) if __name__ == '__main__': test.main()