4890b781b6
Skip individual test cases or entire suites that are not running in v1. Also replace some @run_deprecated_v1 annotations since simply running the test in graph mode was not enough. PiperOrigin-RevId: 224604547
302 lines
11 KiB
Python
302 lines
11 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.stack_ops."""
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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 numpy as np
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.ops import gen_data_flow_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import test
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class StackOpTest(test.TestCase):
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def _testStackPushPop(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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h = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push_v2(h, [[4.0, 5.0]])
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_pop_v2(h, dtypes.float32)
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self.assertAllClose([[4.0, 5.0]], self.evaluate(c1))
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@test_util.run_deprecated_v1
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def testStackPushPop(self):
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self._testStackPushPop(use_gpu=False)
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self._testStackPushPop(use_gpu=True)
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def _testStackPushPopSwap(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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a = np.arange(2000)
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x = constant_op.constant(a, dtype=dtypes.float32)
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h = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push_v2(h, x, swap_memory=True)
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_pop_v2(h, dtypes.float32)
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self.assertAllClose(a, self.evaluate(c1))
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@test_util.run_deprecated_v1
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def testStackPushPopSwap(self):
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self._testStackPushPopSwap(use_gpu=False)
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self._testStackPushPopSwap(use_gpu=True)
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def _testStackWhileSwap(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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n = constant_op.constant(0)
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h = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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def c(x):
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return math_ops.less(x, 10)
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def b(x):
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with ops.control_dependencies([x]):
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a = constant_op.constant(np.ones(2000), dtype=dtypes.float32)
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v = gen_data_flow_ops.stack_push_v2(h, a, swap_memory=True)
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with ops.control_dependencies([v]):
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return math_ops.add(x, 1)
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r = control_flow_ops.while_loop(c, b, [n])
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v = constant_op.constant(np.zeros(2000), dtype=dtypes.float32)
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def c1(x, y):
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del y
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return math_ops.greater(x, 0)
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def b1(x, y):
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nx = math_ops.subtract(x, 1)
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ny = y + gen_data_flow_ops.stack_pop_v2(h, dtypes.float32)
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return [nx, ny]
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_, ry = control_flow_ops.while_loop(
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c1, b1, [r, v], [r.get_shape(), tensor_shape.unknown_shape()])
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self.assertAllClose(np.ones(2000) * 10.0, self.evaluate(ry))
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@test_util.run_v1_only("b/120545219")
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def testStackWhileSwap(self):
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self._testStackWhileSwap(use_gpu=False)
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self._testStackWhileSwap(use_gpu=True)
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def _testMultiStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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h1 = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_push_v2(h1, 4.0)
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with ops.control_dependencies([c1]):
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c1 = gen_data_flow_ops.stack_pop_v2(h1, dtypes.float32)
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h2 = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="bar")
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c2 = gen_data_flow_ops.stack_push_v2(h2, 5.0)
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with ops.control_dependencies([c2]):
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c2 = gen_data_flow_ops.stack_pop_v2(h2, dtypes.float32)
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r = c1 + c2
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self.assertAllClose(9.0, self.evaluate(r))
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@test_util.run_deprecated_v1
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def testMultiStack(self):
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self._testMultiStack(use_gpu=False)
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self._testMultiStack(use_gpu=True)
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def _testSameNameStacks(self, use_gpu):
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"""Different stacks with the same name do not interfere."""
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with self.cached_session(use_gpu=use_gpu) as sess:
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h1 = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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h2 = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_push_v2(h1, 4.0)
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with ops.control_dependencies([c1]):
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c2 = gen_data_flow_ops.stack_push_v2(h2, 5.0)
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with ops.control_dependencies([c2]):
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pop1 = gen_data_flow_ops.stack_pop_v2(h1, dtypes.float32)
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pop2 = gen_data_flow_ops.stack_pop_v2(h2, dtypes.float32)
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out1, out2 = self.evaluate([pop1, pop2])
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self.assertAllClose(out1, 4.0)
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self.assertAllClose(out2, 5.0)
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@test_util.run_deprecated_v1
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def testSameNameStacks(self):
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self._testSameNameStacks(use_gpu=False)
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self._testSameNameStacks(use_gpu=True)
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def _testCloseStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu) as sess:
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h = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_close_v2(h)
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self.evaluate(c1)
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@test_util.run_deprecated_v1
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def testCloseStack(self):
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self._testCloseStack(use_gpu=False)
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self._testCloseStack(use_gpu=True)
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def _testPushCloseStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu) as sess:
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h = gen_data_flow_ops.stack_v2(
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-1, elem_type=dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push_v2(h, [[4.0, 5.0]])
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_close_v2(h)
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self.evaluate(c1)
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@test_util.run_deprecated_v1
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def testPushCloseStack(self):
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self._testPushCloseStack(use_gpu=False)
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self._testPushCloseStack(use_gpu=True)
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class StackOpRefTest(test.TestCase):
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"""Tests for deprecated non-resource variant of stack ops."""
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def _testStackPushPop(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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h = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push(h, [[4.0, 5.0]])
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_pop(h, dtypes.float32)
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self.assertAllClose([[4.0, 5.0]], self.evaluate(c1))
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@test_util.run_deprecated_v1
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def testStackPushPop(self):
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self._testStackPushPop(use_gpu=False)
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self._testStackPushPop(use_gpu=True)
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def _testStackPushPopSwap(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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a = np.arange(2000)
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x = constant_op.constant(a, dtype=dtypes.float32)
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h = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push(h, x, swap_memory=True)
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_pop(h, dtypes.float32)
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self.assertAllClose(a, self.evaluate(c1))
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@test_util.run_deprecated_v1
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def testStackPushPopSwap(self):
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self._testStackPushPopSwap(use_gpu=False)
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self._testStackPushPopSwap(use_gpu=True)
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def _testMultiStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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h1 = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_push(h1, 4.0)
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with ops.control_dependencies([c1]):
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c1 = gen_data_flow_ops.stack_pop(h1, dtypes.float32)
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h2 = gen_data_flow_ops._stack(dtypes.float32, stack_name="bar")
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c2 = gen_data_flow_ops.stack_push(h2, 5.0)
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with ops.control_dependencies([c2]):
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c2 = gen_data_flow_ops.stack_pop(h2, dtypes.float32)
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r = c1 + c2
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self.assertAllClose(9.0, self.evaluate(r))
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def _testStackWhileSwap(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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n = constant_op.constant(0)
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h = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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def c(x):
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return math_ops.less(x, 10)
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def b(x):
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with ops.control_dependencies([x]):
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a = constant_op.constant(np.ones(2000), dtype=dtypes.float32)
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v = gen_data_flow_ops.stack_push(h, a, swap_memory=True)
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with ops.control_dependencies([v]):
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return math_ops.add(x, 1)
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r = control_flow_ops.while_loop(c, b, [n])
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v = constant_op.constant(np.zeros(2000), dtype=dtypes.float32)
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def c1(x, y):
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del y
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return math_ops.greater(x, 0)
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def b1(x, y):
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nx = math_ops.subtract(x, 1)
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ny = y + gen_data_flow_ops.stack_pop(h, dtypes.float32)
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return [nx, ny]
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_, ry = control_flow_ops.while_loop(
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c1, b1, [r, v], [r.get_shape(), tensor_shape.unknown_shape()])
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self.assertAllClose(np.ones(2000) * 10.0, self.evaluate(ry))
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@test_util.run_v1_only("b/120545219")
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def testStackWhileSwap(self):
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self._testStackWhileSwap(use_gpu=False)
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self._testStackWhileSwap(use_gpu=True)
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@test_util.run_deprecated_v1
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def testMultiStack(self):
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self._testMultiStack(use_gpu=False)
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self._testMultiStack(use_gpu=True)
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def _testSameNameStacks(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu):
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h1 = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_push(h1, 4.0)
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h2 = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c2 = gen_data_flow_ops.stack_push(h2, 5.0)
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_ = c1 + c2
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self.assertNotEqual(h1.eval()[1], self.evaluate(h2)[1])
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@test_util.run_deprecated_v1
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def testSameNameStacks(self):
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self._testSameNameStacks(use_gpu=False)
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self._testSameNameStacks(use_gpu=True)
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def _testCloseStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu) as sess:
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h = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c1 = gen_data_flow_ops.stack_close(h)
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self.evaluate(c1)
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@test_util.run_deprecated_v1
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def testCloseStack(self):
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self._testCloseStack(use_gpu=False)
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self._testCloseStack(use_gpu=True)
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def _testPushCloseStack(self, use_gpu):
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with self.cached_session(use_gpu=use_gpu) as sess:
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h = gen_data_flow_ops._stack(dtypes.float32, stack_name="foo")
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c = gen_data_flow_ops.stack_push(h, [[4.0, 5.0]])
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with ops.control_dependencies([c]):
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c1 = gen_data_flow_ops.stack_close(h)
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self.evaluate(c1)
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@test_util.run_deprecated_v1
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def testPushCloseStack(self):
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self._testPushCloseStack(use_gpu=False)
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self._testPushCloseStack(use_gpu=True)
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if __name__ == "__main__":
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test.main()
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