5) 2 index1=torch.tensor([0,1,2,3,4]) ---> 3 y.index_copy_(1,index1,te) RuntimeError: index_copy_(): Source/destination tensor must have same slice shapes. Destination slice shape: 5 at dimension 1 and source slice shape: 3 at dimension 0. ...
index:要选择的张量索引。它可以是IntTensor或LongTensor。 Tensor:包含要复制的值的张量。 #importing libraries import torch a=torch.ones(4,4)#unit vector t1=torch.randn(2,4) index3=torch.tensor([1,3]) #copying elements of t1 ensor to 'a' in given order of index a.index_copy_(0,index3...
index_copy(self, dim, index, tensor2) index_copy_(self, dim, index, tensor) index_fill(self, dim, index, value) index_fill_(self, dim, index, value) index_put(self, indices, values, accumulate=False) index_put_(self, indices, values, accumulate=False) index_select(self, dim, index...
它们的API分别是:index_select(dim, index)与masked_select(mask),dim表示Tensor的维度,index是选取的索引,且index必须是与被调Tensor类型一致的Tensor,mask表示Bool Tensor,下面请看具体示例: 除此以外,类似的方法还包括:index_fill_、index_copy_、index_add_、masked_fill_、masked_fill等。 <11>gather、scatte...
I've encountered an interesting behavior while using the index_copy function in PyTorch with non-standard boolean types. Specifically, when torch.use_deterministic_algorithms(True) is set, the function seems to cast non-zero source values (for instance, 200) to the value of 1 for uint8-typed...
void THTensor_(indexSelect)(THTensor *tensor, THTensor *src, int dim, THLongTensor *index); 把src里的第dim维的index个子张量取出,在tensor中储存 如,src是3x4x5x6,dim=1,index=[2, 0, 1],取出后的tensor维度是3x3x5x6 void THTensor_(indexCopy)(THTensor *tensor, int dim, THLongTensor *in...
pytorch copy提取指定数量的文件到另一个文件夹下 pytorch读取数据,参考:PyTorchdocumentationPyTorch码源本文首先介绍了有关预处理包的源码,接着介绍了在数据处理中的具体应用;其主要目录如下:1PyTorch数据预处理以及源码分析(torch.utils.data)torch.utils.data脚本
仔细观察调用堆栈，我们可以看到一些函数调用增强了我们的怀疑，包括“to”、“copy_”和“cudaStream...
Add nondeterministic alerts to torch.index_copy, torch.median on CUDA and torch.kthvalue on CUDA (#46942) Add float16 and bfloat16 support to torch.where (#49004), torch.matmul (#47873) Add float16 support for CPU and bfloat16 support for CPU & CUDA to torch.flip and torch.flip{...
argmax函数:torch.argmax(input, dim=None, keepdim=False)返回指定维度最大值的序号,dim给定的定义是:the demention to reduce.也就是把dim这个维度的,变成这个维度的最大值的index。例如: sigmoid函数:torch.sigmoid(input, out=None) tanh函数:torch.tanh(input, out=None) ...