Return the fully-qualified name of a top-level function.

Get the local name of a given variable, without any surrounding name scopes.

Function decorator for declaring custom import handlers.

Initialize TensorFlow session using good default settings.

Initialize all tf.Variables that have not already been initialized. Equivalent to the following, but more efficient and does not bloat the tf gra

Linear interpolation.

Linear interpolation with clip.

List all files recursively in a given directory while ignoring given file and directory names. Returns list of tuples containing both absolute and

Logarithm in base 2.

Make a path/filename that resides under the current submit run_dir. Args: *paths: Path components to be passed to os.path.join Retur

Download the given URL and return a binary-mode file object to access the data.

Re-initialize all trainable variables of this network, including sub-networks.

Re-initialize all variables of this network, including sub-networks.

Call FileWriter.add_summary() with all summaries in the default graph, automatically finalizing and merging them on the first call.

Set the global username override value.

Set the value of a given variable based on the given NumPy array. Note: This method is very inefficient -- prefer to use tflib.set_vars() when

Convert a Tensorflow shape to a list of ints. Retained for backwards compatibility -- use TensorShape.as_list() in new code.

Create a run dir, gather files related to the run, copy files to the run dir, and launch the run in appropriate place.

Calculate the product of the tuple elements.