| /external/tensorflow/tensorflow/contrib/framework/python/ops/ |
| checkpoint_ops_test.py | 31 from tensorflow.python.ops import variables
50 bias = variables.Variable(
54 variables.global_variables_initializer().run()
94 variables.global_variables_initializer().run()
109 accum = variables.Variable(
113 variables.global_variables_initializer().run()
132 # We have an initializer for each of two partitioned variables, which will
183 variables.global_variables_initializer().run()
|
| /external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
| summaries_test.py | 26 from tensorflow.python.ops import variables
52 generator_variables=[variables.Variable(0), variables.Variable(1)],
58 discriminator_variables=[variables.Variable(0)],
110 variables.global_variables_initializer().run()
130 variables.global_variables_initializer().run()
181 sess.run(variables.global_variables_initializer())
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| nadam_optimizer_test.py | 28 from tensorflow.python.ops import variables
62 # Initialize variables for numpy implementation.
73 var0 = variables.Variable(var0_np)
74 var1 = variables.Variable(var1_np)
85 variables.global_variables_initializer().run()
117 # Initialize variables for numpy implementation.
128 var0 = variables.Variable(var0_np)
129 var1 = variables.Variable(var1_np)
134 variables.global_variables_initializer().run()
|
| variable_clipping_optimizer_test.py | 27 from tensorflow.python.ops import variables
69 var0 = variables.Variable([[0.0, 1.0], [2.0, 3.0]], dtype=dtype)
70 var1 = variables.Variable([4.0, 5.0], dtype=dtype)
80 variables.global_variables_initializer().run()
106 var0 = variables.Variable(
108 var1 = variables.Variable(
120 variables.global_variables_initializer().run()
|
| addsign_test.py | 30 from tensorflow.python.ops import variables
70 # Initialize variables for numpy implementation.
83 var0 = variables.VariableV1(var0_np)
84 var1 = variables.VariableV1(var1_np)
85 global_step = variables.VariableV1(
101 self.evaluate(variables.global_variables_initializer())
173 # Initialize variables for numpy implementation.
186 var0 = variables.VariableV1(var0_np)
187 var1 = variables.VariableV1(var1_np)
188 global_step = variables.VariableV1
[all...] |
| powersign_test.py | 31 from tensorflow.python.ops import variables
71 # Initialize variables for numpy implementation.
84 var0 = variables.VariableV1(var0_np)
85 var1 = variables.VariableV1(var1_np)
86 global_step = variables.VariableV1(
103 self.evaluate(variables.global_variables_initializer())
178 # Initialize variables for numpy implementation.
191 var0 = variables.VariableV1(var0_np)
192 var1 = variables.VariableV1(var1_np)
193 global_step = variables.VariableV1
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| dense_update_ops_no_tsan_test.py | 26 from tensorflow.python.ops import variables
38 p = variables.Variable(array_ops.zeros([1024, 1024]))
43 self.evaluate(variables.global_variables_initializer())
65 p = variables.Variable(array_ops.zeros([1024, 1024]))
70 self.evaluate(variables.global_variables_initializer())
93 # resource variables.
98 p = variables.Variable(zeros_t)
125 p = variables.Variable(zeros_t)
|
| dense_update_ops_test.py | 27 from tensorflow.python.ops import variables
37 p = variables.Variable(x)
46 p = variables.Variable(x)
55 p = variables.Variable(x)
93 p = variables.VariableV1([1])
107 p = variables.VariableV1(array_ops.fill([1024, 1024], 1), dtypes.int32)
115 p = variables.VariableV1(array_ops.fill([1024, 1024], 1), dtypes.int32)
|
| template_test.py | 34 from tensorflow.python.ops import variables
54 variables.Variable(0, trainable=trainable)
108 self.evaluate(variables.global_variables_initializer())
174 self.assertEqual([v], tpl.variables)
176 self.assertEqual([x, v], tpl.variables)
342 # nested1 and nested2 should not share variables
345 # Variables created by nested1 should be isolated from variables
347 self.assertEqual(nested1.variables, [v1])
348 self.assertEqual(nested2.variables, [v2]
[all...] |
| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| prefetch_queue_test.py | 31 from tensorflow.python.ops import variables
47 examples = variables.Variable(zero64)
59 variables.global_variables_initializer().run()
84 examples = variables.Variable(zero64)
96 variables.global_variables_initializer().run()
124 examples = variables.Variable(zero64)
137 variables.global_variables_initializer().run()
178 examples = variables.Variable(zero64)
197 variables.global_variables_initializer().run()
|
| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| adadelta_test.py | 31 from tensorflow.python.ops import variables
50 var0 = variables.Variable(var0_init, dtype=dtype)
51 var1 = variables.Variable(var1_init, dtype=dtype)
72 self.evaluate(variables.global_variables_initializer())
163 variables.global_variables_initializer().run()
175 self.assertIsInstance(opt.lr, variables.Variable)
176 self.assertIsInstance(opt_2.lr, variables.Variable)
177 self.assertIsInstance(opt_3.lr, variables.Variable)
179 self.evaluate(variables.global_variables_initializer())
|
| nadam_test.py | 30 from tensorflow.python.ops import variables
82 # Initialize variables for numpy implementation.
101 variables.global_variables_initializer().run()
129 # Initialize variables for numpy implementation.
142 variables.global_variables_initializer().run()
166 self.assertIsInstance(opt.lr, variables.Variable)
167 self.assertIsInstance(opt_2.lr, variables.Variable)
168 self.assertIsInstance(opt_3.lr, variables.Variable)
170 self.evaluate(variables.global_variables_initializer())
177 self.assertIsInstance(opt.decay, variables.Variable
[all...] |
| adam_test.py | 34 from tensorflow.python.ops import variables
117 # Initialize variables for numpy implementation.
136 variables.global_variables_initializer().run()
164 var = variables.Variable([[1.0], [2.0]])
169 variables.global_variables_initializer().run()
176 repeated_index_update_var = variables.Variable(
178 aggregated_update_var = variables.Variable(
194 variables.global_variables_initializer().run()
206 # Initialize variables for numpy implementation.
234 self.evaluate(variables.global_variables_initializer()
[all...] |
| optimizer_v2_test.py | 52 from tensorflow.python.ops import variables
69 self.evaluate(variables.global_variables_initializer())
75 self.evaluate(variables.global_variables_initializer())
92 self.evaluate(variables.global_variables_initializer())
98 self.evaluate(variables.global_variables_initializer())
128 var0 = variables.Variable([1.0, 2.0], dtype=dtype)
129 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
134 self.evaluate(variables.global_variables_initializer())
140 self.evaluate(variables.global_variables_initializer())
194 # Convert gradients to tf.Variables
[all...] |
| /external/apache-harmony/jdwp/src/test/java/org/apache/harmony/jpda/tests/jdwp/StackFrame/ |
| JDWPStackFrameAccessTest.java | 89 private final List<VariableInfo> variables = new ArrayList<VariableInfo>(); field in class:JDWPStackFrameAccessTest.MethodInfo
100 return variables;
105 variables.add(new VariableInfo(variableName, initialValue, setValue, newValue));
117 variables.add(new VariableInfo(variableName, initialValue, setValue, newValue));
225 * an instance providing the local variables (and their value) for the method
226 * used for suspension. This is a special method because we do not update variables,
239 Frame.Variable[] variables = jdwpGetVariableTable(classID, testMethodID); local
240 assertNotNull("No variable table for method " + testMethodName, variables);
247 // Test all variables.
249 assertTrue("Not enough variables in variable table"
380 Frame.Variable[] variables = jdwpGetVariableTable(classID, methodID); local
[all...] |
| /external/cldr/tools/java/org/unicode/cldr/util/ |
| VariableAndPathParser.java | 15 * Small helper class; given a file with a specified syntax, extract variables and paths,
94 final Map<String, String> variables = new HashMap<>(); local
103 variables.put(curVar.getKey(), curVar.getValue());
112 return variables;
|
| /external/proguard/src/proguard/preverify/ |
| CodePreverifier.java | 257 * variables. If necessary, class constants are added to the constant pool
264 TracedVariables variables)
266 int maximumVariablesSize = variables.size();
274 Value value = variables.getValue(index);
302 Value value = variables.getValue(index);
303 Value producerValue = variables.getProducerValue(index);
510 VerificationType[] variables = fullFrame.variables; local
518 // Are all variables equal?
520 equalVerificationTypes(variables, previousVariableTypes, variablesCount)
[all...] |
| /external/protobuf/src/google/protobuf/compiler/objectivec/ |
| objectivec_primitive_field.cc | 121 map<string, string>* variables) {
123 (*variables)["type"] = primitive_name;
124 (*variables)["storage_type"] = primitive_name;
|
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| warm_starting_util_test.py | 34 from tensorflow.python.ops import variables
63 sess.run(variables.global_variables_initializer())
85 sess.run(variables.global_variables_initializer())
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| encoders.py | 21 from tensorflow.contrib.framework.python.ops import variables
55 trainable: If `True` also add variables to the graph collection
59 reuse: If `True`, variables inside the op will be reused.
72 embeddings = variables.model_variable(
113 trainable: If `True` also add variables to the graph collection
117 reuse: If `True`, variables inside the op will be reused.
135 embeddings = variables.model_variable(
|
| /external/tensorflow/tensorflow/contrib/model_pruning/python/ |
| pruning_utils_test.py | 28 from tensorflow.python.ops import variables
59 variables.global_variables_initializer().run()
75 variables.global_variables_initializer().run()
|
| /external/tensorflow/tensorflow/python/training/tracking/ |
| util_xla_test.py | 74 variables = model.trainable_variables
75 gradients = tape.gradient(loss, variables)
76 optimizer.apply_gradients(zip(gradients, variables))
|
| /external/tensorflow/tensorflow/python/training/ |
| supervisor_test.py | 42 from tensorflow.python.ops import variables
428 variables.VariableV1([1.0], name="foo")
496 variables.VariableV1([1.0, 2.0, 3.0])
504 variables.VariableV1([1.0, 2.0, 3.0])
514 v = variables.VariableV1([1.0, 2.0, 3.0])
524 v = variables.VariableV1([1.0, 2.0, 3.0])
539 v = variables.VariableV1(p, name="v")
542 init_op=variables.global_variables_initializer(),
559 v = variables.VariableV1(
562 w = variables.VariableV1
[all...] |
| /external/tensorflow/tensorflow/python/debug/lib/ |
| session_debug_grpc_test.py | 43 from tensorflow.python.ops import variables
152 u = variables.VariableV1(2.1, name="u")
153 v = variables.VariableV1(20.0, name="v")
179 u = variables.VariableV1(2.1, name="u")
180 v = variables.VariableV1(20.0, name="v")
213 u = variables.VariableV1(2.1, name="u")
214 v = variables.VariableV1(20.0, name="v")
245 u = variables.VariableV1(2.1, name="u")
246 v = variables.VariableV1(20.0, name="v")
290 u = variables.VariableV1(2.1, name="u"
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| network_test.py | 78 for var in net.variables:
88 for var in net.variables:
106 net(constant_op.constant([[2.0]])) # Force variables to be created.
117 net(x) # Force variables to be created.
145 self.evaluate(net.variables[0].assign([[3.]]))
165 self.assertIsNot(net1.variables[0], net2.variables[0])
166 self.assertAllEqual(self.evaluate(net1.variables[0]),
167 self.evaluate(net2.variables[0]))
191 self.assertEqual("two_layer_net/" + layer_one.variables[0].name
[all...] |
