88406aa4390710a54ffafd30c19662074ceee0cb,pointnet2/utils/pointnet2_utils.py,ThreeInterpolate,backward,#Any#Any#,201

Before Change

        idx, weight, m = ctx.three_interpolate_for_backward
        B, c, n = grad_out.size()

        grad_features = Variable(torch.cuda.FloatTensor(B, c, m).zero_())

        grad_out_data = grad_out.data.contiguous()
        pointnet2.three_interpolate_grad_wrapper(
            B, c, n, m, grad_out_data, idx, weight, grad_features.data

After Change

        
        idx, weight, m = ctx.three_interpolate_for_backward

        grad_features = _ext.three_interpolate_grad(grad_out.contiguous(), idx,
                                                    weight, m)

        return grad_features, None, None

Instances