def forward()

in visu/gradient_ascent.py [0:0]


def forward(model, layer, channel, x):
    if model.sobel is not None:
        x = model.sobel(x)
    count = 0
    for y, m in enumerate(model.features.modules()):
        if not isinstance(m, nn.Sequential):
            x = m(x)
            if isinstance(m, nn.Conv2d):
                if count == layer:
                    res = x
            if isinstance(m, nn.ReLU):
                if count == layer:
                    # check if channel is not activated
                    if x[:, channel, :, :].mean().data.cpu().numpy() == 0:
                        return res
                    return x
                count = count + 1