tf.OpError.__str__()

tf.OpError.__str__()

tf.SparseTensor.__truediv__()

tf.SparseTensor.__truediv__(sp_x, y) Internal helper function for 'sp_t / dense_t'.

tf.contrib.distributions.Categorical.mode()

tf.contrib.distributions.Categorical.mode(name='mode') Mode.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).

tf.contrib.graph_editor.OpMatcher.__init__()

tf.contrib.graph_editor.OpMatcher.__init__(positive_filter) Graph match constructor.

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

tensorflow::Tensor::bit_casted_shaped()

TTypes< T, NDIMS >::Tensor tensorflow::Tensor::bit_casted_shaped(gtl::ArraySlice< int64 > new_sizes) Return the tensor data to an Eigen::Tensor with the new shape specified in new_sizes and cast to a new dtype T. Using a bitcast is useful for move and copy operations. The allowed bitcast is the only difference from shaped().

tensorflow::PartialTensorShape::IsFullyDefined()

bool tensorflow::PartialTensorShape::IsFullyDefined() const Return true iff the rank and all of the dimensions are well defined.

tf.contrib.distributions.WishartCholesky.scale()

tf.contrib.distributions.WishartCholesky.scale() Wishart distribution scale matrix.

tensorflow::Env::NowSeconds()

virtual uint64 tensorflow::Env::NowSeconds() Returns the number of seconds since some fixed point in time. Only useful for computing deltas of time.