mjdietzx

import torch
from torch.autograd import Variable
import torch.nn as nn


class Bottleneck(nn.Module):
    cardinality = 32  # the size of the set of transformations

    def __init__(self, nb_channels_in, nb_channels, nb_channels_out, stride=1):
        super().__init__()

dgca

/**
 * Abstraction over `useReducer` to make writing reducer functions easier and without
 * switch statements.
 *
 * @see https://codesandbox.io/s/usedispatchmethods-wwkcw?file=/src/App.js
 * @example
 * 
 * const Thinger = () => {
 *   const [state, dispatch] = useDispatchMethods(
 *     {