/external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
D | graph_io.py | 54 queue_capacity=10000, argument 107 queue_capacity=queue_capacity, 122 queue_capacity=10000, argument 177 queue_capacity=queue_capacity, 192 queue_capacity=10000, argument 250 queue_capacity=queue_capacity, 343 queue_capacity=10000, argument 389 if (not queue_capacity) or (queue_capacity <= 0): 390 raise ValueError('Invalid queue_capacity %s.' % queue_capacity) 393 (batch_size <= 0 or batch_size >= queue_capacity)): [all …]
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D | graph_io_test.py | 74 queue_capacity = 1234 87 queue_capacity=queue_capacity, 99 queue_capacity=queue_capacity, 111 queue_capacity=queue_capacity, 123 queue_capacity=default_batch_size, 135 queue_capacity=None, 147 queue_capacity=queue_capacity, 159 queue_capacity=queue_capacity, 167 queue_capacity + 1, 171 queue_capacity=queue_capacity, [all …]
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D | numpy_io.py | 36 queue_capacity=1000, argument 44 queue_capacity=queue_capacity,
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D | pandas_io.py | 62 queue_capacity=1000, argument 71 queue_capacity=queue_capacity,
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D | generator_io.py | 40 queue_capacity=1000, argument 126 queue_capacity,
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D | pandas_io_test.py | 208 x, y, batch_size=2, shuffle=True, queue_capacity=None, num_epochs=2)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | state_saving_rnn_estimator.py | 249 queue_capacity=1000, argument 302 capacity=queue_capacity) 393 queue_capacity, argument 485 queue_capacity=queue_capacity, 562 queue_capacity=1000, argument 649 queue_capacity=queue_capacity,
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D | state_saving_rnn_estimator_test.py | 343 queue_capacity=10, 424 queue_capacity=2 + batch_size, 507 queue_capacity=2 * batch_size, 565 queue_capacity=2 + batch_size, 648 queue_capacity=2 + batch_size,
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.estimator.inputs.pbtxt | 5 …argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'n… 9 …argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'n…
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/external/tensorflow/tensorflow/contrib/training/python/training/ |
D | sampling_ops.py | 141 queue_capacity=16, argument 245 capacity=queue_capacity,
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
D | input_pipeline.py | 275 queue_capacity=2, # Each queue element is a full copy of the dataset
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