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

r"""Fused `tf.nn.conv2d()` followed by `downsample_2d()`. Padding is performed only once at the beginning, not between the operations. The fu

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().

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.

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

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.

r"""Fused bias and activation function. Adds bias `b` to activation tensor `x`, evaluates activation function `act`, and scales the result by

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.

How much time passed between the previous two calls to update.

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

Expects two images of dimension h, w, c

How much time has passed since the last call to update.

How much time has passed since the creation of the context.

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.

Print a summary table of the network structure.

Register the gradients of the given loss function with respect to the given variables. Intended to be called once per GPU.

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.