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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.
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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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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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Previsualizar una ruta en Street View en Google Maps Importante: Para obtener indicaciones en Street View, haz clic en Cómo llegar . A continuación, escribe el origen y el destino de la ruta. En tu ordenador, en la ruta que quieras, haz clic en Detalles. Para ver indicaciones más detalladas, haz clic en Ampliar .
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Street View blurs remain blurred in transition animations between Street View and Immersive View. Find street-level imagery from other dates Important: Historic imagery isn't available for every place that has Street View. You can find street-level imagery taken at different times from the Street View archives and other contributors.
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https://stackoverflow.com/questions/49643225/whats…
What's 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 ...