Forcefully enter the specified variable scope, ignoring any surrounding scopes.

Ask the user the question until the user inputs a valid answer.

Finds the python object with the given name and calls it as a function.

Create new network with the given parameters, and copy all variables from this network.

Convert a minibatch of images from uint8 to float32 with configurable dynamic range. Can be used as an input transformation for Network.run().

Convert a minibatch of images from float32 to uint8 with configurable dynamic range. Can be used as an output transformation for Network.run().

Convert a normal path to template and the convert it back to a normal path with given path type.

Takes in a list of tuples of (src, dst) paths and copies files. Will create all necessary directories.

Copy the values of all variables from the given network, excluding sub-networks.

Copy the values of all trainable variables from the given network, including sub-networks.

Create tf.Variable with large initial value without bloating the tf graph.

Exponent in base 2.

Shortcut function for flattening a tensor.

Convert the seconds to human readable string with days, hours, minutes and seconds.

Given a type name string (or an object having a __name__ attribute), return matching Numpy and ctypes types that have the same size in bytes.

Get the directory path of the module containing the given object name.

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.

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.

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.