TTypes< T, NDIMS >::Tensor tensorflow::Tensor::shaped(gtl::ArraySlice< int64 > new_sizes)

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed by the distribution Dirichlet.

tf.sqrt(x, name=None) Computes square root of x element-wise. I.e., (y = \sqrt{x} = x^{1/2}). Args: x: A Tensor or SparseTensor. Must be one of the following types: half, float32, float64, complex64, complex128. name: A name for the operation (optional). Returns: A Tensor or SparseTensor, respectively. Has the same type as x.

tf.contrib.training.SequenceQueueingStateSaver.num_unroll

tf.contrib.distributions.Chi2WithAbsDf.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Mixture.parameters Dictionary of parameters used by this Distribution.

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph

tf.contrib.distributions.Gamma.cdf(value, name='cdf') Cumulative distribution function. Given random variable X, the cumulative distribution function cdf is: cdf(x) := P[X <= x] Args: value: float or double Tensor. name: The name to give this op. Returns: cdf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.erfc(x, name=None) Computes the complementary error function of x element-wise. Args: x: A Tensor. Must be one of the following types: half, float32, float64. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.