tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.__init__()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalDiagWithSoftplusStdDev')

tf.contrib.distributions.MultivariateNormalDiag.parameters

tf.contrib.distributions.MultivariateNormalDiag.parameters Dictionary of parameters used 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.distributions.WishartCholesky.dtype

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

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.Normal.param_shapes()

tf.contrib.distributions.Normal.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired shape of a call to sample(). Subclasses should override static method _param_shapes. Args: sample_shape: Tensor or python list/tuple. Desired shape of a call to sample(). name: name to prepend ops with. Returns: dict of parameter name to Tensor shapes.

tf.contrib.distributions.WishartFull.batch_shape()

tf.contrib.distributions.WishartFull.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor. The product of the dimensions of the batch_shape is the number of independent distributions of this kind the instance represents. Args: name: name to give to the op Returns: batch_shape: Tensor.

tf.SparseTensorValue.__getnewargs__()

tf.SparseTensorValue.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

tensorflow::Env

An interface used by the tensorflow implementation to access operating system functionality like the filesystem etc. Callers may wish to provide a custom Env object to get fine grain control. All Env implementations are safe for concurrent access from multiple threads without any external synchronization. Member Details tensorflow::Env::Env() virtual tensorflow::Env::~Env()=default Status tensorflow::Env::GetFileSystemForFile(const string &fname, FileSystem **result) Returns the FileSystem

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape()

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor. Args: name: name to give to the op Returns: event_shape: Tensor.