def forward()

in fast_grad_conv.py [0:0]


    def forward(ctx, weight_param, bias_param, batch_size=1):
        ctx.save_for_backward(weight_param)
        weight = weight_param.repeat(batch_size, 1, 1, 1)
        if bias_param is not None:
            bias = bias_param.repeat(batch_size)
        return weight, bias