tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.name

Status tensorflow::Env::NewAppendableFile(const string &fname, std::unique_ptr< WritableFile > *result) Creates an object that either appends to an existing file, or writes to a new file (if the file does not exist to begin with). On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK. The returned file will only be accessed by one thread at a time. The ownership of the returned WritableFile is passed to the caller

tensorflow::TensorShape::TensorShape(gtl::ArraySlice< int64 > dim_sizes) Construct a TensorShape from the provided sizes. REQUIRES: dim_sizes[i] >= 0

tf.contrib.learn.TensorFlowRNNClassifier.get_tensor(name) Returns tensor by name. Args: name: string, name of the tensor. Returns: Tensor.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy(name='entropy')

tf.tan(x, name=None) Computes tan of x element-wise. Args: x: A Tensor. Must be one of the following types: half, float32, float64, int32, int64, complex64, complex128. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.std(name='std') Standard deviation.

tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)

tf.contrib.distributions.Beta.b Shape parameter.