torch在处理输入数据时出现错误：Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAFl

最新推荐文章于 2024-01-08 19:40:40 发布
最新推荐文章于 2024-01-08 19:40:40 发布
阅读量7.9k 收藏 1
点赞数 5
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://blog.youkuaiyun.com/weixin_44007959/article/details/103623776
本文解决在JupyterNotebook中运行代码时遇到的参数类型错误问题，详细介绍了如何将输入参数从tensor类型更改为正确的torch.longtensor类型。

摘要生成于 C知道 ，由 DeepSeek-R1 满血版支持， 前往体验 >

在jupyter notebook中运行代码时出现此问题，参数类型的错误

传的参数应该是torch.longtensor类型
原来是直接的input_ids = torch.tensor(…)
使用input_ids = torch.LongTensor() 定义即可

逸毅懿熠
关注
Expected tensor for argument #1 ‘indices’ to have scalar type Long；but got torch.IntTensor instead
qq_35668469的博客
08-18 1万+
Expected tensor for argument #1 ‘indices’ to have scalar type Long;but got torch.IntTensor instead训练的批量样本数据输入值需要是long值的Tensor数据，而不是int值的Tensor数据.
Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got torch.cuda.FloatTensor i
weixin_37817539的博客
03-08 5694
Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.cuda.FloatTensor instead (while checking arguments for embedding) 我遇到这个问题时是由于我nn.Embedding()的输入并非torch.int64(torch.LongTensor)，解决方法是使用torch.LongTensor()或者是dtype=int64，这是证明
RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got CUDAType
anshiquanshu的专栏
02-22 2754
错误如下：PyTorch查询embedding的时候，报错了 ~/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs) 491 result = self._slow_forward(*input, **kwargs) 492 else: --> 493 result =
transformer 4 RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long
叶子的博客
01-16 4924
在使用transformer 4.0时，报错误提示RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long;该问题主要时由于tensor的类型导致的，解决方法是在相应报错行的前一行对数据类型进行转换。假设输入数据为x，那么增加行为“x = torch.tensor(x).to(torch.int64)”。
Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAFloatTensor instead
weixin_33671935的博客
11-10 2945
运行代码时出现此问题，参数类型的错误 传的参数应该是torch.longtensor类型 使用a=torch.LongTensor()定义即可 转载于:https://www.cnblogs.com/yangruicvpr/p/9939497.html
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAType
月夜长影
10-15 1万+
错误如下：PyTorch查询embedding的时候，报错了 ~/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py in __call__(self, *input, **kwargs) 491 result = self._slow_forward(*input, **kwargs) ...
RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.cuda.FloatTensor instead (while checking arguments for embedding)
最新发布
03-29
- “Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.cuda.IntTensor instead (while checking arguments for embedding)”[^1]。 - “Expected tensor for argument #1 '...
Expected tensor for argument #1 ‘indices‘ to have scalar type Long；but got torch.IntTensor instead
あずにゃん梓喵的博客
07-27 2816
日萌社 人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新） 报错：RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.Int...
【报错解决】RuntimeError: Expected tensor for argument #1 ‘indices‘ to have one of the following scalar
小白冲鸭的博客
01-08 4031
直接换一个函数生成tensor，就是不再使用Tensor()函数了，而是使用torch.tensor()函数，也就不会报错了。在Tensor()函数后面加.long()转换成long类型，就不会再报错了。
RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got CUDAFloatT
周迪新的博客
04-27 958
使用torchsummary 中的 summary函数时，模型中有Embedding层的时候，会报错。原因是Embedding 需要整型的Tensor。 这么使用即可： from torchsummary import summary summary(model, (1, 100, 8), dtypes=[torch.LongTensor], device='cpu') pip install 的torchsummary 不行，没有dtypes这个参数。 所以你下载这里提供的 torchsummary.p
宏基因组学和未培养微生物
01-28
宏基因组学和未培养微生物，陈金华，贺闽，自然界中约有99％的微生物在当前的条件下不可培养，这使微生物资源的开发利用受到了限制。宏基因组技术不通过微生物纯培养而直接�
pytorch RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long;
Anonymity_的博客
05-28 1万+
错误:将一个np.int64的数传给embedding 报错内容 RuntimeError: Expected tensor for argument #1 ‘indices’ to have scalar type Long; but got CPUType instead (while checking arguments for embedding) 解决：对这个数进行数值转换，转为pyth...
Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';
baiyuwujia的博客
08-21 4097
RuntimeError: Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight'; but device 0 does not equal 1 (while checking arguments for cudnn_convolution) 训练模型的GP...
Expected tensor for argument #1 ‘input‘ to have the same type as tensor for argument #2 ‘weight‘； bu
wozhiukbench的博客
04-21 759
这种错误就是tensor的数据类型不匹配.使用type()转化成同一数据类型即可 if reverse: x = XL.reshape(6,384,1,1).type(torch.float32)
Expected tensor for argument #1 ‘indices‘ to have one of the following scalar types: Long, Int； but
热门推荐
WGS.
01-20 2万+
RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.FloatTensor instead (while checking arguments for embedding) 解决： 转成long类型才能作为nn.embedding的输入
DistributedDataParallel:Expected tensor for argument 1 ‘input‘ to have the same device as tensor for
CoolCoolCarrot的博客
04-28 720
记录第一次使用pytorch的DistributedDataParallel进行分布式训练遇到的bug：Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight 背景：使用linux服务器单机多卡并行训练，pytorch版本1.7，Python3.7，cuda101 查阅了许多相关资料，最主要的原因是模型的输入与模型的参数不在同一个设备（GPU）上，但是使用了各种介绍
RuntimeError Expected tensor for argument #1 'input' to have the same device as tensor for argument
Jemary_的博客
10-23 7763
RuntimeError: Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight'; but device 1 does not equal 0 (while checking arguments for cudnn_convolution) 记录一下bu...
评论 3
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值