Find an estimate of the manifold of given feature vectors.

Pickle import.

Fast CUDA implementation of `fused_bias_act()` using custom ops.

Accept either a comma separated list of numbers 'a,b,c' or a range 'a-c' and return as a list of ints.

Accept either a comma separated list of numbers 'a,b,c' or a range 'a-c' and return as a list of ints.

Fast CUDA implementation of `upfirdn_2d()` using custom ops.

Slow reference implementation of `upfirdn_2d()` using standard TensorFlow ops.

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

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

EasyDict of sub-networks created by the build func.

Finds the python class with the given name and constructs it with the given arguments.

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().

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

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.

Inverse of the error function.

Exponent in base 2.

r"""Filter a batch of 2D images with the given FIR filter. Accepts a batch of 2D images of the shape `[N, C, H, W]` or `[N, H, W, C]` and fil

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

Name string for each input.

Short-hand for input_shapes[0].

List of input tensor shapes, including minibatch dimension.

Input placeholders in the template graph.

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