Cheonick Jeong

icon company Shanghai Jiao Tong University icon location Shanghai, China icon location EE PhD @ SJTU

Results 2 issues of Cheonick Jeong

Why use narrow function when calculate Mutual Information.

[https://github.com/sungyubkim/MINE-Mutual-Information-Neural-Estimation-/blob/master/GAN_VDB_MINE.ipynb](url) In the above url In [11]. the code: ` z = torch.narrow(z, dim=1, start=0, length=3) # slice for MI mi = torch.mean(M(z, x_tilde)) - torch.log(torch.mean(torch.exp(M(z_bar, x_tilde)))+1e-8) loss -= 0.01...

May be a bug?

Hi～Thanks for your code. But in [this line](https://github.com/implus/UM-MAE/blob/main/mask_transform.py#L69) it may be a bug. I try your code in my tasks, and the image shape is [382,382]. But args.token_size=16 means self.num_patches=256,...