Status tensorflow::Env::GetFileSize(const string &fname, uint64 *file_size) Stores the size of fname in *file_size.

tf.decode_base64(input, name=None) Decode web-safe base64-encoded strings. Input may or may not have padding at the end. See EncodeBase64 for padding. Web-safe means that input must use - and _ instead of + and /. Args: input: A Tensor of type string. Base64 strings to decode. name: A name for the operation (optional). Returns: A Tensor of type string. Decoded strings.

tf.contrib.distributions.MultivariateNormalFull.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.

tf.contrib.distributions.StudentT.prob(value, name='prob') Probability density/mass function (depending on is_continuous). Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.contrib.distributions.BernoulliWithSigmoidP.mode(name='mode') Mode. Additional documentation from Bernoulli: Returns 1 if p > 1-p and 0 otherwise.

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.mean(name='mean')

tf.contrib.learn.monitors.CaptureVariable.post_step(step, session)

tf.contrib.learn.monitors.EveryN.run_on_all_workers

tf.SparseTensorValue.__new__(_cls, indices, values, shape) Create new instance of SparseTensorValue(indices, values, shape)

tf.contrib.distributions.Poisson.mode(name='mode') Mode. Additional documentation from Poisson: Note that when lam is an integer, there are actually two modes. Namely, lam and lam - 1 are both modes. Here we return only the larger of the two modes.