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325 changes: 325 additions & 0 deletions vit_explain.ipynb

Large diffs are not rendered by default.

6 changes: 4 additions & 2 deletions vit_grad_rollout.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,8 @@
import numpy as np
import cv2

DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

def grad_rollout(attentions, gradients, discard_ratio):
result = torch.eye(attentions[0].size(-1))
with torch.no_grad():
Expand Down Expand Up @@ -57,10 +59,10 @@ def get_attention_gradient(self, module, grad_input, grad_output):
def __call__(self, input_tensor, category_index):
self.model.zero_grad()
output = self.model(input_tensor)
category_mask = torch.zeros(output.size())
category_mask = torch.zeros(output.size()).to(DEVICE)
category_mask[:, category_index] = 1
loss = (output*category_mask).sum()
loss.backward()

return grad_rollout(self.attentions, self.attention_gradients,
self.discard_ratio)
self.discard_ratio)