tf.contrib.framework.add_model_variable()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.add_model_variable(var) Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

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tf.contrib.framework.assert_same_float_dtype()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.assert_same_float_dtype(tensors=None, dtype=None) Validate and return float type based on tensors

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tf.contrib.framework.assign_from_values_fn()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.assign_from_values_fn(var_names_to_values) Returns a function that assigns specific variables from the given

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tf.contrib.framework.convert_to_tensor_or_sparse_tensor()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.convert_to_tensor_or_sparse_tensor(value, dtype=None, name=None, as_ref=False) Converts value to a

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tf.contrib.framework.has_arg_scope()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.has_arg_scope(func) Checks whether a func has been decorated with @add_arg_scope or not.

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tf.contrib.framework.with_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

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tf.contrib.framework.with_same_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.with_same_shape(expected_tensor, tensor) Assert tensors are the same shape, from the same graph.

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tf.contrib.framework.reduce_sum_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.reduce_sum_n(tensors, name=None) Reduce tensors to a scalar sum. This reduces

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tf.contrib.framework.local_variable()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.local_variable(initial_value, validate_shape=True, name=None) Create variable and add it to GraphKeys

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tf.contrib.framework.create_global_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.create_global_step(graph=None) Create global step tensor in graph. Args:

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