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

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

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.FixedLengthRecordReader.serialize_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLengthRecordReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader.

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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

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

tf.TextLineReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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

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

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

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

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

tf.ReaderBase.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not

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

tf.TFRecordReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not

2025-01-10 15:47:30