Creates a `Dataset` by zipping together the given datasets. This method has similar semantics to the built-in `zip()` function in Python, wit

Load training ops library and return the loaded module.

Shape function for ops that output a single scalar value.

Maps `map_func` across this dataset and flattens the result. Use `flat_map` if you want to make sure that the order of your dataset stays the

Get the tensor value from for a debug-dumped tensor. The tensor may be dumped multiple times in the dump root directory, so a list of tensors

Returns one more than the maximum id assigned to any node.

`TensorShape` of this `LinearOperator`. If this operator acts like the batch matrix `A` with `A.shape = [B1,...,Bb, M, N]`, then this returns

Returns a shape based on `self` with the given rank. This method promotes a completely unknown shape to one with a known rank. Args:

Returns a context manager that specifies the resource container to use. Stateful operations, such as variables and queues, can maintain their

Gets model input details. Returns: A list of input details.

Looks up `keys` in a table, outputs the corresponding values.

Standard deviation. Standard deviation is defined as, ```none stddev = E[(X - E[X])**2]**0.5 ``` where `X` is the random variab

Returns a nested Python `list` with the values for this `RaggedTensor`. Requires that `rt` was constructed in eager execution mode. Returns:

Track a Layer in this Network. `Network` requires that all `Layer`s used in `call()` be tracked so that the `Network` can export a complete l

Helper method for building tree leaves. Appends weight contributions for the given class index to a leaf node. Args: leaf: leaf node to appe

Returns a dictionary from job names to their tasks. For each job, if the task index space is dense, the corresponding value will be a list of

A copy of this Tensor with contents backed by host memory.

Return the instruction which defines this HloValue.

r"""Creates a tensor filled with a scalar value. This operation creates a tensor of shape `dims` and fills it with `value`. For example: ```

Run the UI until user- or command- triggered exit. Args: init_command: (str) Optional command to run on CLI start up. title: (str) Op

Convenience wrapper to create Numpy arrays with a np.int32 dtype.

Add loss tensor(s), potentially dependent on layer inputs. Some losses (for instance, activity regularization losses) may be dependent on the

Run an op or tensor in the given session. Report the results. Args: sess: `Session` object to use for timing. op_or_tensor: `Operati

Saves variables. Args: file_prefix: Path prefix of files created for the checkpoint. global_step: If provided the global step number

Returns how many functions are currently registered.

Returns a tensor shape for the specified format and dimension sizes. Works for both 2D and 3D operations. The output shapes are as follows: FORMAT_NHW

Bind the parse member function so tensorflow::Flags can call it.

Creates a TocoConverter class from a TensorFlow Session.

Extracts a slice from a tensor. This operation extracts a slice of size `size` from a tensor `input_` starting at the location specified by `begi

Sets data formats to convert from and to for specified device type.