Returns a unique temporary directory for the test to use. If you call this method multiple times during in a test, it will return the same fo

If you know how many elements you will push at the time you create the TopN object, you can call reserve to preallocate the memory that TopN will need

Flattens an ND-array into a 1D-array with the same elements. @param array the array to flatten @param elementType the element class (e.g. {@code Inte

[optional.mod], modifiers Destroys the inner T value if one is present.

Group tensors together. This creates a tuple of tensors with the same values as the `tensors` argument, except that the value of each tensor is o

Split the values of a `Tensor` into the TensorArray. Args: value: (N+1)-D. Tensor of type `dtype`. The Tensor to split. lengths: 1-

Returns a context manager that specifies the default device to use. The `device_name_or_function` argument may either be a device name string

May be used, e.g., to get GPU handles, etc. TODO(tucker): Add example usage.

Returns a nested structure of `tf.Tensor`s containing the next element. Args: name: (Optional.) A name for the created operation. Retu

Like assertAllClose, but also suitable for comparing fp16 arrays. In particular, the tolerance is reduced to 1e-3 if at least one of the argu

Asserts that message is same as parsed expected_message_ascii. Creates another prototype of message, reads the ascii message into it and then

Wrapper around Session.run() that inserts tensor watch options. Args: fetches: Same as the `fetches` arg to regular `Session.run()`.

Returns the rank of a tensor. This operation returns an integer representing the rank of `input`. For example: ``` # 't' is [[[1, 1, 1], [2, 2, 2]]

Returns a TensorArray with the same content and properties. Returns: A new TensorArray object with flow that ensures the control dependenci

Returns `Tensor`'s shape partitioned into `sample`, `batch`, `event`. Args: x: `Tensor`. name: Python `str`. The name to give this op

Adds a layer instance on top of the layer stack. Arguments: layer: layer instance. Raises: TypeError: If `layer` is not a la

Slice a RichTextLines object. The object itself is not changed. A sliced instance is returned. Args: begin: (int) Beginning line index

Adds a value to this variable. This is essentially a shortcut for `assign_add(self, delta)`. Args: delta: A `Tensor`. The value to ad

Writes file_content to the file. Appends to the end of the file.

Mean.

Warning: note that the pointer returned is not necessarily directly to device virtual address space, but is platform-dependent.

Returns the string name represents this endpoint.

Const adds an operation to graph that produces value as output.

\brief Copy the other tensor into this tensor and reshape it. This tensor shares other's underlying storage. Returns `true` iff `other.shape()` has t

Returns the next record (key, value) pair produced by a reader. Will dequeue a work unit from queue if necessary (e.g. when the Reader needs

The graph-level random seed of this graph.

begin/end for iterating over all nodes.