tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict

tf.contrib.distributions.DirichletMultinomial.is_reparameterized

Member Details tensorflow::Thread::Thread() tensorflow::Thread::~Thread() Blocks until the thread of control stops running.

tf.contrib.losses.hinge_loss(logits, target, scope=None) Method that returns the loss tensor for hinge loss. Args: logits: The logits, a float tensor. target: The ground truth output tensor. Its shape should match the shape of logits. The values of the tensor are expected to be 0.0 or 1.0. scope: The scope for the operations performed in computing the loss. Returns: A Tensor of same shape as logits and target representing the loss values across the batch. Raises: ValueError: If the shape

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name

tf.nn.rnn_cell.EmbeddingWrapper.output_size

tf.contrib.graph_editor.SubGraphView.__str__()

string tensorflow::PartialTensorShape::DebugString() const For error messages.

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.dtype

Status tensorflow::Env::NewRandomAccessFile(const string &fname, std::unique_ptr< RandomAccessFile > *result) Creates a brand new random access read-only file with the specified name. On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK. If the file does not exist, returns a non-OK status. The returned file may be concurrently accessed by multiple threads. The ownership of the returned RandomAccessFile is passed