tensorflow::Status::ToString()

string tensorflow::Status::ToString() const Return a string representation of this status suitable for printing. Returns the string "OK" for success.

tf.contrib.distributions.WishartCholesky.dtype

tf.contrib.distributions.WishartCholesky.dtype The DType of Tensors handled by this Distribution.

tf.contrib.distributions.WishartCholesky.pmf()

tf.contrib.distributions.WishartCholesky.pmf(value, name='pmf') Probability mass function. Args: value: float or double Tensor. name: The name to give this op. Returns: pmf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if is_continuous.

tf.contrib.learn.monitors.StepCounter.every_n_step_begin()

tf.contrib.learn.monitors.StepCounter.every_n_step_begin(step) Callback before every n'th step begins. Args: step: int, the current value of the global step. Returns: A list of tensors that will be evaluated at this step.

tf.contrib.distributions.MultivariateNormalFull.is_continuous

tf.contrib.distributions.MultivariateNormalFull.is_continuous

tensorflow::TensorShapeUtils::IsMatrixOrHigher()

static bool tensorflow::TensorShapeUtils::IsMatrixOrHigher(const TensorShape &shape)

tf.contrib.distributions.ExponentialWithSoftplusLam.alpha

tf.contrib.distributions.ExponentialWithSoftplusLam.alpha Shape parameter.

tf.contrib.distributions.Multinomial.validate_args

tf.contrib.distributions.Multinomial.validate_args Python boolean indicated possibly expensive checks are enabled.

tensorflow::TensorShape::AsProto()

void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const Fill *proto from *this.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.dtype

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.dtype The DType of Tensors handled by this Distribution.