- python - What does `view ()` do in PyTorch? - Stack Overflow
18 torch Tensor view() Simply put, torch Tensor view() which is inspired by numpy ndarray reshape() or numpy reshape(), creates a new view of the tensor, as long as the new shape is compatible with the shape of the original tensor Let's understand this in detail using a concrete example
- 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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- Whats the difference between `reshape()` and `view()` in PyTorch?
torch view has existed for a long time It will return a tensor with the new shape The returned tensor will share the underling data with the original tensor See the documentation here On the other hand, it seems that torch reshape has been introduced recently in version 0 4 According to the document, this method will Returns a tensor with the same data and number of elements as input, but
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Get to Street View in Google Maps To access Street View photos: Search for a place or address in Google Maps Drag Pegman to a place on the map
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