/external/tensorflow/tensorflow/python/distribute/ |
D | cross_device_ops.py | 117 def _normalize_value_destination_pairs(value_destination_pairs): argument 121 value_destination_pairs = list(value_destination_pairs) 123 if not isinstance(value_destination_pairs, (list, tuple)): 125 for pair in value_destination_pairs: 138 def _validate_value_destination_pairs(value_destination_pairs): argument 141 if not value_destination_pairs: return False 142 if not isinstance(value_destination_pairs, (list, tuple)): return False 143 if not all(isinstance(pair, tuple) for pair in value_destination_pairs): 146 for v in value_destination_pairs): 179 def _all_devices_match(value_destination_pairs): argument [all …]
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D | parameter_server_strategy.py | 389 def _batch_reduce_to(self, reduce_op, value_destination_pairs): argument 390 for _, destinations in value_destination_pairs: 393 value_destination_pairs)
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D | distribute_lib.py | 1164 def batch_reduce_to(self, reduce_op, value_destination_pairs): argument 1178 return self._batch_reduce_to(reduce_op, value_destination_pairs) 1180 def _batch_reduce_to(self, reduce_op, value_destination_pairs): argument 1183 for t, v in value_destination_pairs
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D | mirrored_strategy.py | 709 def _batch_reduce_to(self, reduce_op, value_destination_pairs): argument 711 reduce_op, value_destination_pairs)
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.distribute.-cross-device-ops.pbtxt | 11 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 15 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-nccl-all-reduce.pbtxt | 13 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 17 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-reduction-to-one-device.pbtxt | 12 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 16 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-hierarchical-copy-all-reduce.pbtxt | 13 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 17 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-strategy-extended.pbtxt | 39 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.distribute.-cross-device-ops.pbtxt | 11 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 15 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-nccl-all-reduce.pbtxt | 13 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 17 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-reduction-to-one-device.pbtxt | 12 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 16 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-hierarchical-copy-all-reduce.pbtxt | 13 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None… 17 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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D | tensorflow.distribute.-strategy-extended.pbtxt | 39 …argspec: "args=[\'self\', \'reduce_op\', \'value_destination_pairs\'], varargs=None, keywords=None…
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/external/tensorflow/tensorflow/contrib/distribute/python/ |
D | cross_device_ops_test.py | 560 def _batch_reduce(test_object, reduce_op, value_destination_pairs): argument 564 value_destination_pairs) 566 return test_object.batch_reduce(reduce_op, value_destination_pairs)
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