tf.WholeFileReader.supports_serialize
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.WholeFileReader.supports_serialize Whether the Reader implementation can serialize its state.

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tf.TextLineReader.num_work_units_completed()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TextLineReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing.

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tf.VarLenFeature
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

class tf.VarLenFeature Configuration for parsing a variable-length input feature. Fields: dtype:

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tf.FixedLenFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenFeature.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

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tf.decode_raw()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.decode_raw(bytes, out_type, little_endian=None, name=None) Reinterpret the bytes of a string as a vector of numbers.

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tf.QueueBase.dtypes
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.dtypes The list of dtypes for each component of a queue element.

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tf.QueueBase.dequeue_many()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.dequeue_many(n, name=None) Dequeues and concatenates n elements from this queue. This

2025-01-10 15:47:30
tf.placeholder()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.placeholder(dtype, shape=None, name=None) Inserts a placeholder for a tensor that will be always fed.

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tf.TextLineReader
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

class tf.TextLineReader A Reader that outputs the lines of a file delimited by newlines. Newlines

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tf.IdentityReader.read()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.IdentityReader.read(queue, name=None) Returns the next record (key, value pair) produced by a reader. Will

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