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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 the experimental input pipeline ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import numpy as np
from tensorflow.contrib.data.python.ops import error_ops
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import io_ops
from tensorflow.python.platform import test
from tensorflow.python.util import compat
class MapDatasetTest(test.TestCase):
def testMapIgnoreError(self):
components = np.array([1., 2., 3., np.nan, 5.]).astype(np.float32)
dataset = (
dataset_ops.Dataset.from_tensor_slices(components)
.map(lambda x: array_ops.check_numerics(x, "message")).apply(
error_ops.ignore_errors()))
iterator = dataset.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op)
for x in [1., 2., 3., 5.]:
self.assertEqual(x, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testParallelMapIgnoreError(self):
components = np.array([1., 2., 3., np.nan, 5.]).astype(np.float32)
dataset = (
dataset_ops.Dataset.from_tensor_slices(components).map(
lambda x: array_ops.check_numerics(x, "message"),
num_parallel_calls=2).prefetch(2).apply(error_ops.ignore_errors()))
iterator = dataset.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op)
for x in [1., 2., 3., 5.]:
self.assertEqual(x, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testReadFileIgnoreError(self):
def write_string_to_file(value, filename):
with open(filename, "w") as f:
f.write(value)
filenames = [os.path.join(self.get_temp_dir(), "file_%d.txt" % i)
for i in range(5)]
for filename in filenames:
write_string_to_file(filename, filename)
dataset = (
dataset_ops.Dataset.from_tensor_slices(filenames).map(
io_ops.read_file, num_parallel_calls=2).prefetch(2).apply(
error_ops.ignore_errors()))
iterator = dataset.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
# All of the files are present.
sess.run(init_op)
for filename in filenames:
self.assertEqual(compat.as_bytes(filename), sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
# Delete one of the files.
os.remove(filenames[0])
# Attempting to read filenames[0] will fail, but ignore_errors()
# will catch the error.
sess.run(init_op)
for filename in filenames[1:]:
self.assertEqual(compat.as_bytes(filename), sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testCaptureResourceInMapFn(self):
def _build_ds(iterator):
def _map_fn(x):
get_next = iterator.get_next()
return x * get_next
return dataset_ops.Dataset.range(10).map(_map_fn)
def _build_graph():
captured_iterator = dataset_ops.Dataset.range(
10).make_initializable_iterator()
ds = _build_ds(captured_iterator)
iterator = ds.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
return captured_iterator.initializer, init_op, get_next
with ops.Graph().as_default() as g:
captured_init_op, init_op, get_next = _build_graph()
with self.test_session(graph=g) as sess:
sess.run(captured_init_op)
sess.run(init_op)
for i in range(10):
self.assertEquals(i * i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
if __name__ == "__main__":
test.main()
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