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torch.gather creates a new tensor from the input tensor by taking the values from each row along the input dimension dim .

gather(input,dim,index) - gather(input, dim, index, out=None, sparse_grad=False) -> Tensor Gathers values along an axis specified by `dim`.

pytorch – reciprocal of torch.gather. Given an input tensor x and a tensor of indices idxs , I want to retrieve all elements of ...

22.06.2018 · torch.gather creates a new tensor from the input tensor by taking the values from each row along the input dimension dim.The values in torch.LongTensor, passed as index, specify which value to take from each 'row'.The dimension of the output tensor is same as the dimension of index tensor. Following illustration from the official docs explains it more clearly:

1 背景 去年我理解了 torch.gather()用法，今年看到又给忘了，索性把自己的理解梳理出来，方便今后遗忘后快速上手。 官方文档：TORCH.GATHER官方文档对torch.gather()的定义非常简洁 定义：从原tensor中获取指定di…

The following are 15 code examples for showing how to use torch.distributed.gather().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

torch.gather input ( Tensor) – the source tensor dim ( int) – the axis along which to index index ( LongTensor) – the indices of elements to gather sparse_grad ( bool, optional) – If True, gradient w.r.t. input will be a sparse tensor. out ( Tensor, optional) – the destination tensor

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14.06.2020 · 引言：在多分类中，torch.gather常用来取出标签所对应的概率，但对于刚开始接触Pytorch的同学来说，torch.gather()可能不太好理解，这里做一些说明和演示，帮助理解。

torch.Tensor.gather; Docs. Access comprehensive developer documentation for PyTorch. View Docs. Tutorials. Get in-depth tutorials for beginners and advanced developers.

torch.gather ... Gathers values along an axis specified by dim . ... input and index must have the same number of dimensions. It is also required that index.size(d) ...

25.03.2020 · torch.gather(input, dim, index, out=None, sparse_grad=False) → Tensor Gathers values along an axis specified by dim. So, it gathers values along axis. But how does it differ to regular indexing?

def _get_body(self, x, target): cos_t = torch.gather(x, 1, target.unsqueeze(1)) # cos(theta_yi) if self.easy_margin: cond = torch.relu(cos_t) else: cond_v = cos_t - self.threshold cond = torch.relu(cond_v) cond = cond.bool() # Apex would convert FP16 to FP32 here # cos(theta_yi + m) new_zy = torch.cos(torch.acos(cos_t) + self.m).type(cos_t.dtype) if self.easy_margin: zy_keep = cos_t else: zy_keep = cos_t - self.mm # (cos(theta_yi) - sin(pi - m)*m) new_zy = torch.where(cond, new_zy, zy_keep ...

A mini lib that implements several useful functions binding to PyTorch in C++. - GitHub - maxwellzh/torch-gather: A mini lib that implements several useful ...

Mar 22, 2020 · torch.gather(input, dim, index, out=None, sparse_grad=False) → Tensor Gathers values along an axis specified by dim. So, it gathers values along axis. But how does it differ to regular indexing?

24.03.2018 · 其中 gather 有两种使用方式，一种为 torch.gather 另一种为 对象.gather 。. 首先介绍 对象.gather import torch torch. manual_seed (2) #为CPU设置种子用于生成随机数，以使得结果是确定的 def gather _example (): N, C = 4, 5 s = torch. randn (N, torch.gather 作用：收集输入的特定维度指定位置 ...

Understanding torch.gather function in Pytorch ... Two arguments of this function, index and dim are the key to understanding the function. For ...

Oct 18, 2020 · Understanding torch.gather function in Pytorch. Two arguments of this function, index and dim are the key to understanding the function. For case of 2D, dim = 0 corresponds to rows and dim = 1 ...

torch ¶ The torch package ... gather. Gathers values along an axis specified by dim. hsplit. Splits input, a tensor with one or more dimensions, into multiple tensors horizontally according to indices_or_sections. hstack. Stack tensors in sequence horizontally (column wise).

torch.gather. Gathers values along an axis specified by dim. input and index must have the same number of dimensions. It is also required that index.size (d) <= input.size (d) for all dimensions d != dim. out will have the same shape as index . Note that …

1 背景 去年我理解了 torch.gather()用法，今年看到又给忘了，索性把自己的理解梳理出来，方便今后遗忘后快速上手。 官方文档：TORCH.GATHER官方文档对torch.gather()的定义非常简洁 定义：从原tensor中获取指定di…

Python torch.gather() Examples. The following are 30 code examples for showing how to use torch.gather(). These examples are ...

Jun 23, 2018 · torch.gather creates a new tensor from the input tensor by taking the values from each row along the input dimension dim. The values in torch.LongTensor, passed as index, specify which value to take from each 'row'. The dimension of the output tensor is same as the dimension of index tensor.

16.05.2019 · pytorch中的gather函数 pytorch比tensorflow更加编程友好，所以准备用pytorch试着做最近要做的一些实验。立个flag开始学习pytorch，新开一个分类整理学习pytorch中的一些踩到的泥坑。今天刚开始接触，读了一下documentation，写一个一开始每太搞懂的函数gather b = torch.Tensor([[1,2,3],[4,5,6]...

tensorflow equivalent of torch.gather. I have a tensor of shape (16, 4096, 3) . I have another tensor of indices of shape (16, 32768, 3) .