python view 1 - PrivacyWall

https://stackoverflow.com/questions/42479902/what-does-view-do-in...

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python - What does `view ()` do in PyTorch? - Stack Overflow

view() reshapes the tensor without copying memory, similar to numpy's reshape(). Given a tensor a with 16 elements:. import torch a = torch.range(1, 16) To reshape this tensor to make it a 4 x 4 tensor, use:. a = a.view(4, 4) Now a will be a 4 x 4 tensor.Note that after the reshape the total number of elements need to remain the same.

https://blog.csdn.net/Dust_Evc/article/details/121785089

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python pytorch中 .view()函数讲解 - CSDN博客

文章浏览阅读5.2w次，点赞159次，收藏342次。本文介绍了PyTorch中.view()方法的使用，包括手动调整Tensor尺寸和使用-1作为参数自动调整尺寸。通过实例展示了.view()如何等效于reshape和resize，以及如何在保持元素总数不变的情况下灵活变换数组形状。

https://qiita.com/kenta1984/items/d68b72214ce92beebbe2

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【PyTorch】Tensorを操作する関数（transpose、view、reshape） - Qiita

view. viewもよく使われる関数です。 1つ目の引数に-1を入れることで、2つ目の引数で指定した値にサイズ数を自動的に調整してくれます。 Tensorの要素数が指定したサイズ数に合わない（割り切れない）場合、エラーになります。

https://zhuanlan.zhihu.com/p/485688233

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【Pytorch】视图函数.view()用法汇总 - 知乎 - 知乎专栏

在使用pytorch定义神经网络时，经常会看到类似如下的.view()用法，这里对其用法做出讲解与演示。一、普通用法 (手动调整size) view()相当于reshape、resize，重新调整Tensor的形状。import torch a1 = torch.arang…

https://blog.csdn.net/weixin_42018581/article/details/102502077

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PyTorch中的view()函数用法示例及其参数详解_.view(-1)-CSDN博客

1. view() tensor.view()方法可以调整tensor的形状，但必须保证调整前后元素总数一致。view不会修改自身的数据，返回的新tensor与原tensor共享内存，即更改一个，另一个也随之改变。在实际应用中，可能经常需要添加或者减少某一维度，这是sequeeze()和unsequeeze()这两个方法就派上了用场。

https://docs.pytorch.org/docs/stable/torch.html

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torch — PyTorch 2.7 documentation

Create a view of an existing torch.Tensor input with specified size, stride and storage_offset. from_file. Creates a CPU tensor with a storage backed by a ... frombuffer. Creates a 1-dimensional Tensor from an object that implements the Python buffer protocol. zeros. Returns a tensor filled with the scalar value 0, with the shape defined by the ...

https://www.geeksforgeeks.org/numpy-ndarray-view-in-python/

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numpy.ndarray.view() in Python | GeeksforGeeks

numpy.ndarray.view() helps to get a new view of array with the same data. Syntax: ndarray.view(dtype=None, type=None) Parameters: dtype : Data-type descriptor of the returned view, e.g., float32 or int16. The default, None, results in the view having the same data-type as a. type : Python type, optional Returns : ndarray or matrix. Code #1: Python3

https://blog.51cto.com/u_12865/6444492

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python中view的用法 python view(-1) - 51CTO博客

python中view的用法 python view(-1)，使用pytorch框架定义神经网络时，经常会在代码中看到view()函数view()的作用相当于numpy中的reshape，重新定义矩阵的形状。一、例1普通用法：importtorchv1=torch.range(1,16)v2=v1.view(4,4)其中v1为116大小的张量，包含16个元素。v2为44大小的张量，同样包含16个元素。

https://docs.python.org/3/tutorial/index.html

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The Python Tutorial — Python 3.13.3 documentation

The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.

https://www.cnblogs.com/ce17091/p/16288794.html

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python中view()函数 - 铁头蛙 - 博客园

注意view前后的元素个数要相同，不然会报错。二、例2 参数使用-1. import torch v1 = torch.range(1, 16) v2 = v1.view(-1, 4) 和图例中的用法一样，view中一个参数定为-1，代表动态调整这个维度上的元素个数，以保证元素的总数不变。因此两个例子的结果是相同的。

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