181 lines
7.2 KiB
Python
181 lines
7.2 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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"""Functional test for slot_creator."""
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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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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 test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import partitioned_variables
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from tensorflow.python.ops import random_ops
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from tensorflow.python.ops import variable_scope
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from tensorflow.python.ops import variables
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from tensorflow.python.platform import test
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from tensorflow.python.training import slot_creator
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class SlotCreatorTest(test.TestCase):
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@test_util.run_v1_only("b/120545219")
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def testCreateSlotFromVariable(self):
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with self.cached_session():
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v = variables.Variable([1.0, 2.5], name="var")
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slot = slot_creator.create_slot(v, v.initialized_value(), name="slot")
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("var/slot", slot.op.name)
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self.assertEqual([2], slot.get_shape().as_list())
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self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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self.assertAllEqual([1.0, 2.5], self.evaluate(slot))
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@test_util.run_deprecated_v1
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def testCreateSlotFromTensor(self):
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with self.cached_session():
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v = constant_op.constant([1.0, 2.5], name="const")
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slot = slot_creator.create_slot(v, v * 2, name="slot")
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("const/slot", slot.op.name)
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self.assertEqual([2], slot.get_shape().as_list())
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self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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self.assertAllEqual([2.0, 5.0], self.evaluate(slot))
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@test_util.run_deprecated_v1
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def testCreateZerosSlotFromVariable(self):
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with self.cached_session():
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v = variables.Variable([1.0, 2.5], name="var")
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with ops.control_dependencies(None):
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slot = slot_creator.create_zeros_slot(
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v, name="slot", dtype=dtypes.float64)
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("var/slot", slot.op.name)
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self.assertEqual([2], slot.get_shape().as_list())
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self.assertEqual(dtypes.float64, slot.dtype.base_dtype)
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self.assertAllEqual([0.0, 0.0], self.evaluate(slot))
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@test_util.run_v1_only("b/120545219")
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def testCreateZerosSlotFromDynamicShapedVariable(self):
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with self.cached_session():
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dyn_shape = constant_op.constant([2], dtype=dtypes.int32)
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dyn_shape = array_ops.placeholder_with_default(dyn_shape,
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shape=[None])
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v = variable_scope.get_variable(
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"var",
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initializer=random_ops.random_uniform(dyn_shape,
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dtype=dtypes.float64),
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validate_shape=False)
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with ops.control_dependencies(None):
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slot = slot_creator.create_zeros_slot(
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v, name="slot", dtype=dtypes.float64)
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("var/slot", slot.op.name)
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self.assertEqual([2], array_ops.shape(slot).eval())
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self.assertEqual(dtypes.float64, slot.dtype.base_dtype)
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self.assertAllEqual([0.0, 0.0], self.evaluate(slot))
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@test_util.run_deprecated_v1
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def testCreateZerosSlotFromTensor(self):
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with self.cached_session():
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v = constant_op.constant([1.0, 2.5], name="const")
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with ops.control_dependencies(None):
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slot = slot_creator.create_zeros_slot(v, name="slot")
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("const/slot", slot.op.name)
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self.assertEqual([2], slot.get_shape().as_list())
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self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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self.assertAllEqual([0.0, 0.0], self.evaluate(slot))
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@test_util.run_deprecated_v1
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def testCreateZerosSlotFromDynamicShapedTensor(self):
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with self.cached_session():
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v = random_ops.random_uniform([2], dtype=dtypes.float64)
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v = array_ops.placeholder_with_default(v, shape=[None], name="const")
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with ops.control_dependencies(None):
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slot = slot_creator.create_zeros_slot(
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v, name="slot", dtype=dtypes.float64)
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self.evaluate(variables.global_variables_initializer())
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self.assertEqual("const/slot", slot.op.name)
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self.assertEqual([2], array_ops.shape(slot).eval())
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self.assertEqual(dtypes.float64, slot.dtype.base_dtype)
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self.assertAllEqual([0.0, 0.0], self.evaluate(slot))
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@test_util.run_v1_only("b/120545219")
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def testCreateSlotFromVariableRespectsScope(self):
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# See discussion on #2740.
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with self.cached_session():
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with variable_scope.variable_scope("scope"):
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v = variables.Variable([1.0, 2.5], name="var")
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slot = slot_creator.create_slot(v, v.initialized_value(), name="slot")
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self.assertEqual("scope/scope/var/slot", slot.op.name)
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@test_util.run_deprecated_v1
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def testCreateSlotFromFirstMDimensionVariable(self):
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with self.test_session():
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s = variables.Variable([1.0, 2.5], name="var")
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p_v = variable_scope.get_variable(
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"var",
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shape=[2, 2],
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partitioner=partitioned_variables.fixed_size_partitioner(2))
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for i, v in enumerate(p_v):
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slot = slot_creator.create_slot(v, s.initialized_value(), name="slot")
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si = slot._save_slice_info
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variables.global_variables_initializer().run()
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self.assertEqual("var/part_%d/slot" % i, slot.op.name)
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self.assertEqual([2], slot.get_shape().as_list())
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self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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self.assertAllEqual([1.0, 2.5], slot.eval())
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self.assertAllEqual([2], si.full_shape)
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self.assertAllEqual([i], si.var_offset)
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self.assertAllEqual([1], si.var_shape)
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@test_util.run_deprecated_v1
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def testCreateSlotFromScalarVariable(self):
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with self.test_session():
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s = variables.Variable(1.0, name="var")
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p_v = variable_scope.get_variable(
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"var",
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shape=[2, 2],
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partitioner=partitioned_variables.fixed_size_partitioner(2))
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for i, v in enumerate(p_v):
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slot = slot_creator.create_slot(v, s.initialized_value(), name="slot")
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variables.global_variables_initializer().run()
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self.assertEqual("var/part_%d/slot" % i, slot.op.name)
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self.assertEqual([], slot.get_shape().as_list())
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self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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self.assertAllEqual(1.0, slot.eval())
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if __name__ == "__main__":
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test.main()
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