analogvnn# AnalogVNN: A fully modular framework for modeling and optimizing analog/photonic neural networks. Subpackages# analogvnn.backward analogvnn.backward.BackwardFunction analogvnn.backward.BackwardIdentity analogvnn.backward.BackwardModule analogvnn.backward.BackwardUsingForward analogvnn.fn analogvnn.fn.dirac_delta analogvnn.fn.reduce_precision analogvnn.fn.test analogvnn.fn.to_matrix analogvnn.fn.train analogvnn.graph analogvnn.graph.AccumulateGrad analogvnn.graph.AcyclicDirectedGraph analogvnn.graph.ArgsKwargs analogvnn.graph.BackwardGraph analogvnn.graph.ForwardGraph analogvnn.graph.GraphEnum analogvnn.graph.ModelGraph analogvnn.graph.ModelGraphState analogvnn.graph.to_graph_viz_digraph analogvnn.nn analogvnn.nn.activation analogvnn.nn.activation.Activation analogvnn.nn.activation.BinaryStep analogvnn.nn.activation.ELU analogvnn.nn.activation.Gaussian analogvnn.nn.activation.Identity analogvnn.nn.activation.ReLU analogvnn.nn.activation.SiLU analogvnn.nn.activation.Sigmoid analogvnn.nn.activation.Tanh analogvnn.nn.module analogvnn.nn.module.FullSequential analogvnn.nn.module.Layer analogvnn.nn.module.Model analogvnn.nn.module.Sequential analogvnn.nn.noise analogvnn.nn.noise.GaussianNoise analogvnn.nn.noise.LaplacianNoise analogvnn.nn.noise.Noise analogvnn.nn.noise.PoissonNoise analogvnn.nn.noise.UniformNoise analogvnn.nn.normalize analogvnn.nn.normalize.Clamp analogvnn.nn.normalize.LPNorm analogvnn.nn.normalize.Normalize analogvnn.nn.precision analogvnn.nn.precision.Precision analogvnn.nn.precision.ReducePrecision analogvnn.nn.precision.StochasticReducePrecision analogvnn.nn.Linear analogvnn.parameter analogvnn.parameter.PseudoParameter analogvnn.utils analogvnn.utils.TensorboardModelLog analogvnn.utils.common_types analogvnn.utils.get_model_summaries analogvnn.utils.is_cpu_cuda analogvnn.utils.render_autograd_graph analogvnn.utils.to_tensor_parameter Package Contents# analogvnn.__package__ = 'analogvnn'[source]# analogvnn.__author__ = 'Vivswan Shah (vivswanshah@pitt.edu)'[source]# analogvnn.__version__[source]#