akankshakshurai/cuda-error-resolution-analysis huggingface dataset:
Feature map from r3d_18

username: Subhankar_Ghosh
cooked: <p>I am using the <a href="https://pytorch.org/docs/stable/torchvision/models.html#resnet-3d" rel="nofollow noopener">resnet3d18</a> available in the vision module:</p>
<pre><code class="lang-auto">    model = models.video.r3d_18(pretrained=True, progress=False)
    num_features = model.fc.in_features
    model.fc = nn.Linear(num_features, num_classes)
</code></pre>
<p>Since the model is being downloaded I am not sure how to label the layers and display the feature maps. Specifically I am trying to visualize the feature map of the first layer.</p>
<p>Can you all please help me out?</p>
<p>Thanks!</p>

username: ptrblck
cooked: <p>To visualize the feature (or activation) maps, you could use forward hooks as given in <a href="https://discuss.pytorch.org/t/visualize-feature-map/29597/2">this example</a>. Let me know, if that works for you.</p>