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

tf.FixedLenFeature.__repr__() Return a nicely formatted representation string

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

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index].

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

tf.FixedLenSequenceFeature.allow_missing Alias for field number 2

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

tf.IdentityReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

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

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

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

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

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

tf.FixedLengthRecordReader.__init__(record_bytes, header_bytes=None, footer_bytes=None, name=None) Create a FixedLengthRecordReader

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

tf.TFRecordReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

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

tf.placeholder_with_default(input, shape, name=None) A placeholder op that passes though input when its output is

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

tf.parse_tensor(serialized, out_type, name=None) Transforms a serialized tensorflow.TensorProto proto into a Tensor.

2025-01-10 15:47:30