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# 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 control_flow module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.converters import control_flow
from tensorflow.contrib.autograph.core import converter_testing
from tensorflow.contrib.autograph.pyct import transformer
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.platform import test
class ControlFlowTest(converter_testing.TestCase):
def assertTransformedResult(self, test_fn, inputs, expected):
if not isinstance(inputs, tuple):
inputs = (inputs,)
with self.converted(test_fn, control_flow, {},
constant_op.constant) as result:
with self.test_session() as sess:
self.assertEqual(sess.run(result.test_fn(*inputs)), expected)
def test_while_basic(self):
def test_fn(n):
i = 0
s = 0
while i < n:
s += i
i += 1
return s, i, n
self.assertTransformedResult(test_fn, constant_op.constant(5), (10, 5, 5))
def test_while_single_output(self):
def test_fn(n):
while n > 0:
n -= 1
return n
self.assertTransformedResult(test_fn, constant_op.constant(5), 0)
def test_if_basic(self):
def test_fn(n):
a = 0
b = 0
if n > 0:
a = -n
else:
b = 2 * n
return a, b
self.assertTransformedResult(test_fn, constant_op.constant(1), (-1, 0))
self.assertTransformedResult(test_fn, constant_op.constant(-1), (0, -2))
def test_if_complex_outputs(self):
class TestClass(object):
def __init__(self, a, b):
self.a = a
self.b = b
def test_fn(n, obj):
obj.a = 0
obj.b = 0
if n > 0:
obj.a = -n
else:
obj.b = 2 * n
return obj
with self.converted(test_fn, control_flow, {}) as result:
with self.test_session() as sess:
res_obj = result.test_fn(constant_op.constant(1), TestClass(0, 0))
self.assertEqual(sess.run((res_obj.a, res_obj.b)), (-1, 0))
res_obj = result.test_fn(constant_op.constant(-1), TestClass(0, 0))
self.assertEqual(sess.run((res_obj.a, res_obj.b)), (0, -2))
def test_if_single_output(self):
def test_fn(n):
if n > 0:
n = -n
return n
self.assertTransformedResult(test_fn, constant_op.constant(1), -1)
def test_if_semi(self):
def test_fn(n):
if n > 0:
n = 3
return n
self.assertTransformedResult(test_fn, constant_op.constant(2), 3)
self.assertTransformedResult(test_fn, constant_op.constant(-3), -3)
def test_if_local_var(self):
def test_fn(n):
if n > 0:
b = 4
n = b + 1
return n
self.assertTransformedResult(test_fn, constant_op.constant(1), 5)
self.assertTransformedResult(test_fn, constant_op.constant(-1), -1)
def test_if_no_outputs(self):
def test_fn(n):
if n > 0:
b = 4 # pylint:disable=unused-variable
return n
# Without side effect guards, the if statement will stage a cond,
# but that will be pruned at execution.
self.assertTransformedResult(test_fn, constant_op.constant(1), 1)
self.assertTransformedResult(test_fn, constant_op.constant(-1), -1)
def test_if_imbalanced_outputs(self):
def test_fn(n):
if n > 0:
b = 4
return b
node, ctx = self.prepare(test_fn, {})
with self.assertRaises(transformer.AutographParseError):
control_flow.transform(node, ctx)
def test_simple_for(self):
def test_fn(l):
s1 = 0
s2 = 0
for e in l:
s1 += e
s2 += e * e
return s1, s2
self.assertTransformedResult(test_fn, constant_op.constant([1, 3]), (4, 10))
empty_vector = constant_op.constant([], shape=(0,), dtype=dtypes.int32)
self.assertTransformedResult(test_fn, empty_vector, (0, 0))
def test_for_single_output(self):
def test_fn(l):
s = 0
for e in l:
s += e
return s
self.assertTransformedResult(test_fn, constant_op.constant([1, 3]), 4)
empty_vector = constant_op.constant([], shape=(0,), dtype=dtypes.int32)
self.assertTransformedResult(test_fn, empty_vector, 0)
def test_for_iterated_expression(self):
eval_count = [0]
def count_evals(x):
eval_count[0] += 1
return x
def test_fn(n):
s = 0
for e in count_evals(range(n)):
s += e
return s
ns = {'count_evals': count_evals}
node, ctx = self.prepare(test_fn, ns)
node = control_flow.transform(node, ctx)
with self.compiled(node, ns) as result:
self.assertEqual(result.test_fn(5), 10)
self.assertEqual(eval_count[0], 1)
if __name__ == '__main__':
test.main()
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