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Pytorch dim=-1在pytorch 基本函数中的dim【详细说明】:以torch.argmax为例的討論與評價

在这些pytorch函数中,很多都有dim这个控制参数,但是我们很难明白这个含义是什么。本文试着总结一下:1)dim的不同值表示不同维度。特别的在dim=0 ...

Pytorch dim=-1在what does dim=-1 or -2 mean in torch.sum()? - Stack Overflow的討論與評價

The minus essentially means you go backwards through the dimensions. Let A be a n-dimensional matrix. Then dim=n-1=-1, dim=n-2=-2, ..., ...

Pytorch dim=-1在What's dim=-1 means - PyTorch Forums的討論與評價

In C++ libtorch version, i noticed that i have to set the dim=-1 in slice function so that i could get the right answer. But i don't understand ...

Pytorch dim=-1在ptt上的文章推薦目錄

    Pytorch dim=-1在What does dim=-1 mean in torch.cat? - PyTorch Forums的討論與評價

    What does dim=-1 mean in torch.cat? dcl (DCakewalkLearner) February 4, 2021, 7:23am #1. The output of torch.cat((x, x, x), -1) and torch.cat((x, x, x), ...

    Pytorch dim=-1在torch.squeeze — PyTorch 1.10.1 documentation的討論與評價

    torch.squeeze. torch. squeeze (input, dim=None, *, out=None) → Tensor. Returns a tensor with all the dimensions of input of size 1 removed.

    Pytorch dim=-1在torch.sum — PyTorch 1.10.1 documentation的討論與評價

    Returns the sum of each row of the input tensor in the given dimension dim . If dim is a list of dimensions, reduce over all of them. If keepdim is True ...

    Pytorch dim=-1在torch.unsqueeze — PyTorch 1.10.1 documentation的討論與評價

    torch.unsqueeze. torch. unsqueeze (input, dim) → Tensor. Returns a new tensor with a dimension of size one inserted at the specified position.

    Pytorch dim=-1在Whats different between dim=1 and dim=0 - PyTorch Forums的討論與評價

    The dim parameter dictates across which dimension the softmax operations is done. Basically, the softmax operation will transform your input ...

    Pytorch dim=-1在python - 在torch.sum() 中dim=-1 或-2 是什么意思? - IT工具网的討論與評價

    python - 在torch.sum() 中dim=-1 或-2 是什么意思? 原文 标签 python pytorch. 让我以一个二维矩阵为例: mat ...

    Pytorch dim=-1在(pytorch)torch.sum的用法及dim参数的使用 - 知乎专栏的討論與評價

    (pytorch)torch.sum的用法及dim参数的使用. 1 年 ... keepdim:求和之后这个dim的元素个数为1,所以要被去掉,如果要保留这个维度,则 ... 你好,dim=-1是什么情况呢.

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