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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://pythonguides.com/pytorch-view/

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PyTorch View Tutorial [With 11 Examples] - Python Guides

This PyTorch tutorial will explain the usage of the PyTorch View in Python. The PyTorch view() function returns a new tensor with a similar number of data and should have a similar number of elements. ... print(a.view(1, 8)): Here we are viewing tensor in 1 row and 8 columns.

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

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python pytorch中 .view()函数讲解 - CSDN博客

PyTorch中的.view()函数是一个用于改变张量形状的方法。它类似于NumPy中的.reshape()函数，可以通过重新排列张量的维度来改变其形状，而不改变张量的数据。在深度学习中，.view()函数常用于调整输入数据的形状以适应模型的输入要求，或者在网络层之间传递数据时进行形状的转换。

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/u013593554/article/details/131365170

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Python函数.view(1,-1）和 .view(-1,1)有什么区别 - CSDN博客

文章浏览阅读3.6k次，点赞5次，收藏14次。.view(1,-1)将多维张量转换为行向量，而.view(-1,1)转换为列向量，两种方法均保持张量元素总数不变。它们根据原始张量的形状和指定的维度自动推断另一个维度，常用于数据重塑。

https://blog.csdn.net/scut_salmon/article/details/82391320

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torch x = x.view(-1, ...)理解 - CSDN博客

在函数的参数中经常可以看到-1例如x.view(-1, 4) 这里-1表示一个不确定的数，就是你如果不确定你想要reshape成几行，但是你很肯定要reshape成4列，那不确定的地方就可以写成-1. 例如一个长度的16向量x， x.view(-1, 4)等价于x.view(4, 4) x.view(-1, 2)等价于x.view(8，2) 以此类推

https://blog.csdn.net/WhiffeYF/article/details/104251419

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1.torch.view(参数a，参数b，…) - CSDN博客

view()函数是用于对Tensor(张量)进行形状变化的函数，如一个Tensor的size是3x2，可以通过view()函数将其形状转为2x3。但是需要注意的是进行操作的张量必须是contiguous()的，即在在内存中连续的。（不连续可以使用tensor.contiguous()操作转为连续）。一、view()函数基本操作函数定义：view(*args) [Ps:...

https://blog.csdn.net/qq_26400705/article/details/109816853

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python中view()函数怎么用？ - CSDN博客

Python中的函数不仅仅是一种实用工具，更是贯穿于各类编程场景的核心构件。无论是在函数式编程、装饰器设计、GUI编程、Web开发、异步任务处理，还是数据预处理和机器学习等领域，偏函数都能助力开发者简化代码结构、增强代码可读性和可维护性，进而提升整体编程效率。

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

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python中view()函数 - 铁头蛙 - 博客园

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： import torch v1 = 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。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

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