tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.get_current_value_type()

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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.MultivariateNormalDiagWithSoftplusStDevTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.graph

tf.contrib.learn.TensorFlowRNNClassifier.get_variable_value(name) Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.