tf.errors.DeadlineExceededError.
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.errors.DeadlineExceededError.__init__(node_def, op, message) Creates a DeadlineExceededError.

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tf.nn.rnn_cell.DropoutWrapper.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.DropoutWrapper.state_size

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tf.TensorArray.size()
  • References/Big Data/TensorFlow/TensorFlow Python/TensorArray Operations

tf.TensorArray.size(name=None) Return the size of the TensorArray.

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tf.contrib.graph_editor.SubGraphView.is_passthrough()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.is_passthrough(t) Check whether a tensor is passthrough.

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tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph

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tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss(final_loss, name='Loss')

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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.distributions.Normal.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

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tf.contrib.distributions.Gamma.event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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tf.ifft3d()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.ifft3d(input, name=None) Compute the inverse 3-dimensional discrete Fourier Transform over the inner-most 3

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