wehub-resource-sync
128 lines
3.3 KiB
Python
128 lines
3.3 KiB
Python
# Copyright 2017 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 functions module."""
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from tensorflow.python.autograph.converters import functions
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from tensorflow.python.autograph.converters import return_statements
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from tensorflow.python.autograph.core import ag_ctx
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from tensorflow.python.autograph.core import converter
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from tensorflow.python.autograph.core import converter_testing
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from tensorflow.python.autograph.impl import api
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from tensorflow.python.framework import constant_op
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from tensorflow.python.platform import test
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class FunctionTransformer(converter_testing.TestCase):
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def test_basic(self):
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def f(l):
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"""Docstring."""
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a = 1
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l += a
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return l
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tr = self.transform(f, functions)
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result_op = tr(constant_op.constant(1))
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self.assertIn('f/', result_op.op.name)
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self.assertEqual('Docstring.', tr.__doc__)
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def test_multiline_docstring(self):
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def f():
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"""First sentence.
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Second sentence.
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Returns:
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Something.
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"""
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return constant_op.constant(1)
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tr = self.transform(f, functions)
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result_op = tr()
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self.assertIn('f/', result_op.op.name)
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self.assertIn('First sentence.', tr.__doc__)
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self.assertIn('Second sentence.', tr.__doc__)
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def test_nested_functions(self):
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def f(l):
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def inner_fn(i):
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return i + 1
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l += 1
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return l, inner_fn(l)
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tr = self.transform(f, (functions, return_statements))
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first, second = tr(constant_op.constant(1))
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self.assertIn('f/', first.op.name)
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self.assertNotIn('inner_fn', first.op.name)
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self.assertIn('f/inner_fn/', second.op.inputs[0].name)
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def test_conversion_context_preserves_in_inner_functions(self):
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def inner_fn_callee():
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self.assertEqual(
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ag_ctx.control_status_ctx().status, ag_ctx.Status.DISABLED)
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def f():
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def inner_fn():
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inner_fn_callee()
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with ag_ctx.ControlStatusCtx(
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ag_ctx.Status.DISABLED, converter.ConversionOptions(recursive=True)):
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inner_fn()
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tr = self.transform(f, functions)
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tr()
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def test_method(self):
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class TestClass(object):
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def f(self, l):
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def inner_fn(i):
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return i + 1
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l += 1
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return l, inner_fn(l)
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tr = self.transform(TestClass.f, (functions, return_statements))
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first, second = tr(TestClass(), constant_op.constant(1))
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self.assertIn('f/', first.op.name)
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self.assertNotIn('inner_fn', first.op.name)
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self.assertIn('f/inner_fn/', second.op.inputs[0].name)
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def test_lambda_in_return_value(self):
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def f():
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return lambda x: x + 1
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tr = self.transform(f, functions)
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result_l = tr()
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self.assertTrue(api.is_autograph_artifact(result_l))
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if __name__ == '__main__':
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test.main()
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