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- python - What does `view ()` do in PyTorch? - Stack Overflow
All that happens is that the method will do the math for you on how to fill that dimension For example a view(2, -1, 4) is equivalent to a view(2, 2, 4) [16 (2 x 4) = 2] Notice that the returned tensor shares the same data If you make a change in the "view" you are changing the original tensor's data: python Copy
- What does `-1` of `view()` mean in PyTorch? - Stack Overflow
In this view x view(-1) is a weird flatten layer but missing the squeeze (i e adding a dimension of 1) Adding this squeeze or removing it is usually important for the code to actually run
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View video transcripts You can see the full transcript of any video that has captions This is useful if you want to read along with the video, or if you want to find a specific part of the video You can also jump to specific parts of the video by tapping on any line of caption text In the video description, click Show transcript
- View, organize, or delete comments - YouTube Help
You can view public comments you’ve left across YouTube To go to the original place you posted your comment, click or tap the content If you commented on a deleted video, or if YouTube removed your comment for a policy violation, it won't show in this history
- How can I open a Markdown file? - Stack Overflow
I have a Markdown file, and I want to open it with the formatting I tried using a web browser, but it just gave me plain text I also added two Chrome extensions, but it still just gave me some pl
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Why has my house suddenly been blurred out on Street View? My house had some really useful pictures on Street View It is my business location as well as my home, the logo of the business is the property and the property is a strong representation of the business Today, all pictures are suddenly blurred I didn't request it
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- Whats the difference between `reshape()` and `view()` in PyTorch?
Although both torch view and torch reshape are used to reshape tensors, here are the differences between them As the name suggests, torch view merely creates a view of the original tensor The new tensor will always share its data with the original tensor This means that if you change the original tensor, the reshaped tensor will change and vice versa
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