f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
202 lines
6.9 KiB
Python
202 lines
6.9 KiB
Python
# Copyright 2015 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 tensorflow.ops.data_flow_ops.FIFOQueue."""
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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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import time
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from six.moves import xrange # pylint: disable=redefined-builtin
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.framework import dtypes as dtypes_lib
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from tensorflow.python.ops import data_flow_ops
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from tensorflow.python.platform import test
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class FIFOQueueTest(xla_test.XLATestCase):
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def testEnqueue(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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enqueue_op = q.enqueue((10.0,))
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enqueue_op.run()
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def testEnqueueWithShape(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32, shapes=(3, 2))
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enqueue_correct_op = q.enqueue(([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]],))
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enqueue_correct_op.run()
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with self.assertRaises(ValueError):
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q.enqueue(([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]],))
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self.assertEqual(1, q.size().eval())
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def testMultipleDequeues(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, [dtypes_lib.int32], shapes=[()])
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self.evaluate(q.enqueue([1]))
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self.evaluate(q.enqueue([2]))
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self.evaluate(q.enqueue([3]))
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a, b, c = self.evaluate([q.dequeue(), q.dequeue(), q.dequeue()])
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self.assertAllEqual(set([1, 2, 3]), set([a, b, c]))
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def testQueuesDontShare(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, [dtypes_lib.int32], shapes=[()])
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self.evaluate(q.enqueue(1))
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q2 = data_flow_ops.FIFOQueue(10, [dtypes_lib.int32], shapes=[()])
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self.evaluate(q2.enqueue(2))
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self.assertAllEqual(self.evaluate(q2.dequeue()), 2)
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self.assertAllEqual(self.evaluate(q.dequeue()), 1)
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def testEnqueueDictWithoutNames(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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with self.assertRaisesRegex(ValueError, "must have names"):
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q.enqueue({"a": 12.0})
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def testParallelEnqueue(self):
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with self.session() as sess, self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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elems = [10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
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enqueue_ops = [q.enqueue((x,)) for x in elems]
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dequeued_t = q.dequeue()
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# Run one producer thread for each element in elems.
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def enqueue(enqueue_op):
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sess.run(enqueue_op)
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threads = [
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self.checkedThread(target=enqueue, args=(e,)) for e in enqueue_ops
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]
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for thread in threads:
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thread.start()
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for thread in threads:
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thread.join()
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# Dequeue every element using a single thread.
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results = []
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for _ in xrange(len(elems)):
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results.append(dequeued_t.eval())
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self.assertItemsEqual(elems, results)
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def testParallelDequeue(self):
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with self.session() as sess, self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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elems = [10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
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enqueue_ops = [q.enqueue((x,)) for x in elems]
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dequeued_t = q.dequeue()
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# Enqueue every element using a single thread.
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for enqueue_op in enqueue_ops:
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enqueue_op.run()
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# Run one consumer thread for each element in elems.
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results = []
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def dequeue():
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results.append(sess.run(dequeued_t))
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threads = [self.checkedThread(target=dequeue) for _ in enqueue_ops]
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for thread in threads:
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thread.start()
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for thread in threads:
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thread.join()
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self.assertItemsEqual(elems, results)
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def testDequeue(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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elems = [10.0, 20.0, 30.0]
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enqueue_ops = [q.enqueue((x,)) for x in elems]
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dequeued_t = q.dequeue()
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for enqueue_op in enqueue_ops:
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enqueue_op.run()
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for i in xrange(len(elems)):
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vals = self.evaluate(dequeued_t)
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self.assertEqual([elems[i]], vals)
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def testEnqueueAndBlockingDequeue(self):
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with self.session() as sess, self.test_scope():
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q = data_flow_ops.FIFOQueue(3, dtypes_lib.float32)
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elems = [10.0, 20.0, 30.0]
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enqueue_ops = [q.enqueue((x,)) for x in elems]
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dequeued_t = q.dequeue()
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def enqueue():
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# The enqueue_ops should run after the dequeue op has blocked.
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# TODO(mrry): Figure out how to do this without sleeping.
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time.sleep(0.1)
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for enqueue_op in enqueue_ops:
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sess.run(enqueue_op)
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results = []
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def dequeue():
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for _ in xrange(len(elems)):
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results.append(sess.run(dequeued_t))
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enqueue_thread = self.checkedThread(target=enqueue)
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dequeue_thread = self.checkedThread(target=dequeue)
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enqueue_thread.start()
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dequeue_thread.start()
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enqueue_thread.join()
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dequeue_thread.join()
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for elem, result in zip(elems, results):
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self.assertEqual([elem], result)
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def testMultiEnqueueAndDequeue(self):
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with self.session() as sess, self.test_scope():
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q = data_flow_ops.FIFOQueue(10, (dtypes_lib.int32, dtypes_lib.float32))
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elems = [(5, 10.0), (10, 20.0), (15, 30.0)]
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enqueue_ops = [q.enqueue((x, y)) for x, y in elems]
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dequeued_t = q.dequeue()
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for enqueue_op in enqueue_ops:
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enqueue_op.run()
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for i in xrange(len(elems)):
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x_val, y_val = sess.run(dequeued_t)
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x, y = elems[i]
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self.assertEqual([x], x_val)
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self.assertEqual([y], y_val)
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def testQueueSizeEmpty(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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self.assertEqual([0], q.size().eval())
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def testQueueSizeAfterEnqueueAndDequeue(self):
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with self.session(), self.test_scope():
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q = data_flow_ops.FIFOQueue(10, dtypes_lib.float32)
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enqueue_op = q.enqueue((10.0,))
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dequeued_t = q.dequeue()
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size = q.size()
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self.assertEqual([], size.get_shape())
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enqueue_op.run()
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self.assertEqual(1, self.evaluate(size))
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dequeued_t.op.run()
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self.assertEqual(0, self.evaluate(size))
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if __name__ == "__main__":
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test.main()
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