Esempio n. 1
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 def input_fn_train():
     return dataset.input_fn(per_replica_batch_size, train_speech_dataset)
Esempio n. 2
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 def input_fn_eval():
     return dataset.input_fn(per_replica_batch_size, eval_speech_dataset)
Esempio n. 3
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 def input_fn_train():
     return dataset.input_fn(per_device_batch_size, train_speech_dataset)
Esempio n. 4
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 def input_fn_eval():
     return dataset.input_fn(per_device_batch_size, eval_speech_dataset)
 def input_fn_eval():  # #pylint: disable=unused-variable
     return dataset.input_fn(per_device_batch_size, eval_speech_dataset)
Esempio n. 6
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 def input_fn_eval():
   return dataset.input_fn(
       per_device_batch_size, eval_speech_dataset)
Esempio n. 7
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 def input_fn_train():
   return dataset.input_fn(
       per_device_batch_size, train_speech_dataset)
Esempio n. 8
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 def input_fn_eval():
   return dataset.input_fn(
       per_replica_batch_size, eval_speech_dataset)
Esempio n. 9
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 def input_fn_train():
   return dataset.input_fn(
       per_replica_batch_size, train_speech_dataset)