Returns the list of all local per-replica values contained in `value`. Note: This only returns values on the worker initiated by this client.

Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.

Returns the minimum representable value in this data type. Raises: TypeError: if this is a non-numeric, unordered, or quantized type.

Request that the threads stop. After this is called, calls to `should_stop()` will return `True`. Note: If an exception is being passed in,

Gets the total dataset size (number of elements). Returns: An integer denoting the number of elements in the dataset.

Returns a `numpy.dtype` based on this `DType`.

Returns True if the `other` DType will be converted to this DType. The conversion rules are as follows: ```python DType(T) .is_com

Releases the cleanup function instead of running it. Hint: use c.release()() to run early.

Runs restore ops from the checkpoint. Requires a valid checkpoint.

If map has an entry for k, return the corresponding value, else return def.

Prepend the current test case's working temporary directory to <prefix>

Retrieves the weights of the model. Returns: A flat list of Numpy arrays.

Creates a `Dataset` that prefetches elements from this dataset. Note: Like other `Dataset` methods, prefetch operates on the elements of the

Updates the progress bar. Arguments: current: Index of current step. values: List of tuples: `(name, value_for_last_s

Add all input tensors element wise. Inputs must be of same size and shape. ```python x = [9, 7, 10] tf.math.add_n(x) ==> 26 ```

Exit this control flow context.

Provides a read-only view to the model's output tensor(s). Retains ownership of object.

TODO(apassos) make this return a constant reference

The prefix of the most recent checkpoint in `directory`. Equivalent to `tf.train.latest_checkpoint(directory)` where `directory` is the const

Randomly shuffles the elements of this dataset. This dataset fills a buffer with `buffer_size` elements, then randomly samples elements from

Starts this server. Raises: tf.errors.OpError: Or one of its subclasses if an error occurs while starting the TensorFlow server.

Returns the list of all local per-replica values contained in `value`. DEPRECATED: Please use `experimental_local_results` instead. Note: Th

Formats hipError_t to output prettified values into a log stream. Error summaries taken from: TODO(leary) switch to cuGetErrorName when updated rocm.

Formats CUresult to output prettified values into a log stream.

Returning the inputs as a list.

Add operations to minimize `loss` by updating `var_list`. This method simply combines calls `compute_gradients()` and `apply_gradients()`. If

Returns the total number of elements, or none for incomplete shapes.

Updates the shape of this tensor. This method can be called multiple times, and will merge the given `shape` with the current shape of this t

Generates a 'Unique Identifier' based on all internal fields. Caller should use the uid string to check `RunConfig` instance integrity in one

A float val -> Tensor<float>

Value converts the Tensor to a Go value. For now, not all Tensor types are supported, and this function may panic if it encounters an unsupported Data

Add the output of another operation as the next input of the operation being built. @param input {@link Output} supposed to be the input of the opera

Returns a `Tensor` for the given key. A `str` key is used to access a base feature (not-transformed). When a `FeatureColumn` is passed, the t

Returns the mode in which the file was opened.

Compute the number of elements in this table. Args: name: A name for the operation (optional). Returns: A scalar tensor containi

Number of elements currently held by this TopN object. This will be no greater than 'limit' passed to the constructor.

Summary of the accumulated runtime stats.

Get the MKL shape from the second string tensor

Minimize `loss` by updating `var_list`. This method simply computes gradient using `tf.GradientTape` and calls `apply_gradients()`. If you wa

Override existing hyperparameter values, parsing new values from a string. See parse_values for more detail on the allowed format for values.