Track a series of values and provide access to smoothed values over a window or the global series average.

Fully connected ResNet Block class. Args: size_in (int): input dimension size_out (int): output dimension size_h (int):

Conditional batch normalization layer class. Args: c_dim (int): dimension of latent conditioned code c f_dim (int): feature dime

Conditional batch normalization legacy layer class. Args: c_dim (int): dimension of latent conditioned code c f_dim (int): featu

Given vector \f$x\f$, computes \f$x^2\f$ and \f$\frac{dx^2}{x}\f$

Dogleg preserves a great deal of state from iteration to iteration. Many of the things that we need to calculate are dependent only on this s

Mesh evaluation class. It handles the mesh evaluation process. Args: n_points (int): number of points to be used for evaluation

Superclass for various min and max subclasses

Affine layer class. Args: c_dim (tensor): dimension of latent conditioned code c dim (int): input dimension

Conditional batch normalization-based Resnet block class. Args: c_dim (int): dimension of latend conditioned code c size_in (int

ImNet layer py-torch implementation.

3D convolutional Residual Block Layer. Maintains same resolution.

1D-Convolutional ResNet block class. Args: size_in (int): input dimension size_out (int): output dimension size_h (int):