| /external/tensorflow/tensorflow/python/ops/ |
| D | confusion_matrix.py | 162 labels = control_flow_ops.with_dependencies(
166 predictions = control_flow_ops.with_dependencies(
176 labels = control_flow_ops.with_dependencies(
180 predictions = control_flow_ops.with_dependencies(
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| D | numerics.py | 71 out = control_flow_ops.with_dependencies([verify_input], x)
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| D | image_ops_impl.py | 177 return control_flow_ops.with_dependencies(
199 return control_flow_ops.with_dependencies(
265 return control_flow_ops.with_dependencies(
914 image = control_flow_ops.with_dependencies(assert_ops, image)
1082 image = control_flow_ops.with_dependencies(assert_ops, image)
1169 image = control_flow_ops.with_dependencies(assert_ops, image)
1241 image = control_flow_ops.with_dependencies(assert_ops, image)
1245 target_height = control_flow_ops.with_dependencies(
1248 target_width = control_flow_ops.with_dependencies(assert_ops,
1301 resized = control_flow_ops.with_dependencies(assert_ops, resized)
[all …]
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| D | random_ops.py | 405 shape = control_flow_ops.with_dependencies([check], shape)
458 shape = control_flow_ops.with_dependencies([check], shape)
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| D | parsing_ops.py | 1050 result = control_flow_ops.with_dependencies([check],
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| D | control_flow_ops.py | 1063 return with_dependencies([v], self._pivot)
2845 v = with_dependencies([v], p)
2865 def with_dependencies(dependencies, output_tensor, name=None): function
3085 tpl.append(with_dependencies([gate], t))
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| D | check_ops.py | 1086 condition = control_flow_ops.with_dependencies([rank_check], condition)
1351 condition = control_flow_ops.with_dependencies([rank_check], condition)
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| D | sparse_ops.py | 2087 output_shape_tensor = control_flow_ops.with_dependencies([
2091 output_shape_tensor = control_flow_ops.with_dependencies(
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| D | control_flow_ops_test.py | 158 control_flow_ops.with_dependencies(
169 const_with_dep = control_flow_ops.with_dependencies(
182 const_with_dep = control_flow_ops.with_dependencies(
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | numerics_test.py | 76 a = control_flow_ops.with_dependencies([check], a)
86 a = control_flow_ops.with_dependencies([check], a)
96 a = control_flow_ops.with_dependencies([check], a)
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| D | control_flow_ops_py_test.py | 174 v2 = control_flow_ops.with_dependencies([op], v)
189 v2 = control_flow_ops.with_dependencies([op], enter_v)
2665 nj = control_flow_ops.with_dependencies([op], nj)
2691 nj = control_flow_ops.with_dependencies([op], nj)
2828 ni = control_flow_ops.with_dependencies([q.enqueue((i,))], ni)
2859 ni = control_flow_ops.with_dependencies(
4259 a = lambda: control_flow_ops.with_dependencies([state_ops.assign(v0, 0)], 0)
4260 b = lambda: control_flow_ops.with_dependencies([state_ops.assign(v1, 1)], 1)
4261 c = lambda: control_flow_ops.with_dependencies([state_ops.assign(v2, 2)], 2)
4330 real_v = control_flow_ops.with_dependencies(
[all …]
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| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linear_operator_identity.py | 49 self._num_rows = control_flow_ops.with_dependencies([
369 x = control_flow_ops.with_dependencies([aps], x)
424 self._num_rows = control_flow_ops.with_dependencies([
459 self._batch_shape_arg = control_flow_ops.with_dependencies([
697 x = control_flow_ops.with_dependencies([aps], x)
711 rhs = control_flow_ops.with_dependencies([aps], rhs)
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| D | linear_operator_zeros.py | 314 x = control_flow_ops.with_dependencies([aps], x)
368 self._num_rows = control_flow_ops.with_dependencies([
377 self._num_columns = control_flow_ops.with_dependencies([
423 self._batch_shape_arg = control_flow_ops.with_dependencies([
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| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | row_partition.py | 275 value_rowids = control_flow_ops.with_dependencies(checks, value_rowids)
351 row_splits = control_flow_ops.with_dependencies(checks, row_splits)
391 row_lengths = control_flow_ops.with_dependencies(checks, row_lengths)
438 row_starts = control_flow_ops.with_dependencies(checks, row_starts)
474 row_limits = control_flow_ops.with_dependencies(checks, row_limits)
584 row_splits = control_flow_ops.with_dependencies(checks, row_splits)
622 def with_dependencies(self, dependencies): member in RowPartition
634 new_row_splits = control_flow_ops.with_dependencies(dependencies,
1221 return control_flow_ops.with_dependencies(checks, t1), True
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| D | ragged_squeeze_op.py | 97 squeezed_rt = control_flow_ops.with_dependencies(assertion_list,
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | dirichlet.py | 302 return control_flow_ops.with_dependencies([
313 return control_flow_ops.with_dependencies([
329 return control_flow_ops.with_dependencies([
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| D | beta.py | 320 return control_flow_ops.with_dependencies([
335 return control_flow_ops.with_dependencies([
345 return control_flow_ops.with_dependencies([
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| D | dirichlet_multinomial.py | 340 return control_flow_ops.with_dependencies([
351 return control_flow_ops.with_dependencies([
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| D | gamma.py | 275 return control_flow_ops.with_dependencies([
286 return control_flow_ops.with_dependencies([
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| D | util.py | 86 return control_flow_ops.with_dependencies(
105 return control_flow_ops.with_dependencies(assertions, x)
230 probs = control_flow_ops.with_dependencies(dependencies, probs)
377 return control_flow_ops.with_dependencies([
485 return control_flow_ops.with_dependencies(assertions, x)
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| D | student_t.py | 316 return control_flow_ops.with_dependencies(
358 return control_flow_ops.with_dependencies(
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| D | multinomial.py | 312 return control_flow_ops.with_dependencies([
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| D | transformed_distribution.py | 621 return control_flow_ops.with_dependencies(
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| /external/tensorflow/tensorflow/python/training/ |
| D | input.py | 617 with_deps = lambda x: control_flow_ops.with_dependencies(t_values, x)
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| /external/tensorflow/tensorflow/python/debug/cli/ |
| D | analyzer_cli_test.py | 1718 y = control_flow_ops.with_dependencies(
1723 z = control_flow_ops.with_dependencies(
|