| /external/tensorflow/tensorflow/python/training/ |
| input.py | 183 enq = q.enqueue_many([input_tensor])
452 def _store_sparse_tensors(tensor_list, enqueue_many, keep_input,
470 enqueue_many: Python `Boolean`.
489 if enqueue_many:
525 elif enqueue_many:
555 def _store_sparse_tensors_join(tensor_list_list, enqueue_many, keep_input):
558 tensor_list_list[0], enqueue_many, keep_input)
562 tensor_list, enqueue_many, keep_input,
620 def _validate_keep_input(keep_input, enqueue_many):
626 if not enqueue_many and keep_input.shape.ndims == 1
[all...] |
| input_test.py | 542 batched = inp.batch(pre_batched, enqueue_many=True, batch_size=batch_size)
751 batched = inp.batch([sparse], batch_size=2, enqueue_many=True)
769 batched = inp.batch([sparse], batch_size=2, enqueue_many=True)
776 def _testKeepInputHelper(self, num_threads, enqueue_many,
789 if enqueue_many:
798 enqueue_many=enqueue_many)
834 # Can't have vector `keep_input` with `enqueue_many=False`
[all...] |
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| sampling_ops.py | 41 enqueue_many=False,
55 batch, according to enqueue_many.
61 enqueue_many: Bool. If true, interpret input tensors as having a batch
71 ValueError: enqueue_many is True and labels doesn't have a batch
72 dimension, or if enqueue_many is False and labels isn't a scalar.
73 ValueError: enqueue_many is True, and batch dimension on data and labels
97 if enqueue_many:
108 enqueue_many=True)
139 enqueue_many=False,
151 batch, according to enqueue_many
[all...] |
| sampling_ops_test.py | 49 # Label must have only batch dimension if enqueue_many is True.
57 enqueue_many=True)
65 enqueue_many=True)
78 # Data must have batch dimension if enqueue_many is True.
86 enqueue_many=True)
96 enqueue_many=True)
199 enqueue_many=True)
322 def curried_sampler(val, lbls, probs, batch, enqueue_many=False):
329 enqueue_many=enqueue_many)
[all...] |
| bucket_ops.py | 179 keep_input = _validate_keep_input(keep_input, enqueue_many=False)
181 tensor_list, enqueue_many=False, keep_input=keep_input)
192 shapes = _shapes([tensor_list], shapes, enqueue_many=False)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| fifo_queue_test.py | 125 q.enqueue_many([[1, 2, 3, 4], [[1, 1], [2, 2], [3, 3], [4, 4]]]).run()
131 q.enqueue_many([[1, 2, 3]]).run()
141 q.enqueue_many({"a": [12.0, 13.0]})
289 enqueue_op = q.enqueue_many((elems,))
303 enqueue_op = q.enqueue_many((empty_t,))
342 enqueue_op = q.enqueue_many((float_elems, int_elems))
357 enqueue_op = q.enqueue_many((elems,))
369 enqueue_op = q.enqueue_many((elems,))
386 enqueue_op = q.enqueue_many((float_elems, int_elems))
417 enqueue_op = q.enqueue_many((float_elems, int_elems)
[all...] |
| padding_fifo_queue_test.py | 117 q.enqueue_many([[1, 2, 3, 4], [[1, 1], [2, 2], [3, 3], [4, 4]]]).run()
254 enqueue_op = q.enqueue_many((elems,))
269 enqueue_op = q.enqueue_many((empty_t,))
323 enqueue_op = q.enqueue_many((float_elems, int_elems))
340 enqueue_op = q.enqueue_many((float_elems, int_elems))
355 enqueue_op = q.enqueue_many((elems,))
367 enqueue_op = q.enqueue_many((elems,))
384 enqueue_op = q.enqueue_many((float_elems, int_elems))
415 enqueue_op = q.enqueue_many((float_elems, int_elems))
531 enqueue_op = q.enqueue_many((elems,)
[all...] |
| priority_queue_test.py | 126 q.enqueue_many((values, values)) for values in enqueue_values
176 q.enqueue_many((values, values)) for values in enqueue_values
231 q.enqueue_many((elem[i * batch:(i + 1) * batch],
277 q.enqueue_many((elem, side_value_0, side_value_1)).run()
295 q.enqueue_many((elem, elem)).run()
303 q.enqueue_many((elem, elem)).run()
312 q.enqueue_many((["a", "b", "c"], ["a", "b", "c"])).run()
334 [q.enqueue_many((input_priority, input_other))],
|
| reader_ops_test.py | 100 queue.enqueue_many([["A", "B", "C"]]).run()
125 enqueue = queue.enqueue_many([["DD", "EE"]])
147 queue.enqueue_many([["X", "Y", "Z"]]).run()
158 queue.enqueue_many([["Y", "Z"]]).run()
206 queue.enqueue_many([["X", "Y", "Z"]]).run()
221 queue.enqueue_many([["K", "L"]]).run()
252 queue.enqueue_many([self._filenames]).run()
268 enqueue = queue.enqueue_many([self._filenames])
313 queue.enqueue_many([files]).run()
338 queue.enqueue_many([files]).run(
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| random_shuffle_queue_test.py | 70 q.enqueue_many([[1, 2, 3, 4], [[1, 1], [2, 2], [3, 3], [4, 4]]]).run()
76 q2.enqueue_many(([[1, 2, 3]],))
82 q.enqueue_many([[1, 2, 3, 4], [[5], [6], [7], [8]]]).run()
226 enqueue_op = q.enqueue_many((elems,))
241 enqueue_op = q.enqueue_many((empty_t,))
316 enqueue_op = q.enqueue_many((float_elems, int_elems))
333 enqueue_op = q.enqueue_many((elems,))
346 enqueue_op = q.enqueue_many((elems,))
364 enqueue_op = q.enqueue_many((float_elems, int_elems))
398 enqueue_op = q.enqueue_many((float_elems, int_elems)
[all...] |
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.train.pbtxt | 257 argspec: "args=[\'tensors\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
261 argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
361 argspec: "args=[\'tensors\', \'keep_input\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
365 argspec: "args=[\'tensors_list\', \'keep_input\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], "
369 argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
373 argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
413 argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
417 argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], "
|
| tensorflow.-f-i-f-o-queue.pbtxt | 51 name: "enqueue_many"
|
| tensorflow.-padding-f-i-f-o-queue.pbtxt | 51 name: "enqueue_many"
|
| tensorflow.-priority-queue.pbtxt | 51 name: "enqueue_many"
|
| tensorflow.-queue-base.pbtxt | 50 name: "enqueue_many"
|
| tensorflow.-random-shuffle-queue.pbtxt | 51 name: "enqueue_many"
|
| /external/tensorflow/tensorflow/python/framework/ |
| file_system_test.py | 43 queue.enqueue_many([["test://foo"]]).run()
|
| /external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
| ops.py | 408 enqueue_many,
429 if enqueue_many:
432 'When enqueue_many is True, input tensors must have an axis '
456 enqueue_many=False,
468 enqueue_many: If true, the input tensors must contain a 'batch' axis as
477 If enqueue_many is false, the output tensors will have a new 'batch' axis
481 ValueError: If enqueue_many is True and the first axis of the tensors
491 enqueue_many=enqueue_many,
495 return _batch_helper('lt_batch', fn, batch_size, enqueue_many,
[all...] |
| ops_test.py | 331 [self.pack_lt, self.pack_lt], batch_size=2, enqueue_many=True)
336 [batch_2_op] = ops.batch([self.pack_lt], batch_size=2, enqueue_many=True)
339 [batch_10_op] = ops.batch([batch_2_op], batch_size=10, enqueue_many=True)
347 [batch_10_op] = ops.batch([batch_2_op], batch_size=10, enqueue_many=True)
354 ops.batch([self.original_lt], 3, enqueue_many=True)
375 [self.pack_lt, self.pack_lt], batch_size=2, enqueue_many=True)
383 enqueue_many=True,
388 [batch_10_lt] = ops.batch([batch_2_lt], batch_size=10, enqueue_many=True)
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| binary_mnist.py | 66 enqueue_many=True,
|
| mnist.py | 61 enqueue_many=True,
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| graph_io.py | 419 enqueue_many = read_batch_size > 1
437 enqueue_many=enqueue_many,
446 enqueue_many=enqueue_many,
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| wals_test.py | 150 enqueue_many=True)
155 enqueue_many=True)
171 enqueue_many=True)
|
| /external/tensorflow/tensorflow/contrib/cloud/python/ops/ |
| bigquery_reader_ops_test.py | 176 queue.enqueue_many(reader.partitions()).run()
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| model_average_optimizer.py | 252 sync_op = sync_queue.enqueue_many(tokens)
|
