(ctx, grad_output)
| 221 | |
| 222 | @staticmethod |
| 223 | def backward(ctx, grad_output): |
| 224 | eps = ctx.eps |
| 225 | |
| 226 | N, C, H, W = grad_output.size() |
| 227 | y, var, weight = ctx.saved_variables |
| 228 | g = grad_output * weight.view(1, C, 1, 1) |
| 229 | mean_g = g.mean(dim=1, keepdim=True) |
| 230 | |
| 231 | mean_gy = (g * y).mean(dim=1, keepdim=True) |
| 232 | gx = 1. / sqrt(var + eps) * (g - y * mean_gy - mean_g) |
| 233 | return gx, (grad_output * y).sum(dim=3).sum(dim=2).sum(dim=0), grad_output.sum(dim=3).sum(dim=2).sum( |
| 234 | dim=0), None |
| 235 | |
| 236 | class LayerNorm2d(nn.Module): |
| 237 |
nothing calls this directly
no outgoing calls
no test coverage detected