Expected tensor for argument #1 ‘indices’ to have scalar type Long；but got torch.IntTensor instead

最新推荐文章于 2024-02-27 14:47:33 发布

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最新推荐文章于 2024-02-27 14:47:33 发布

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分类专栏：程序报错解决文章标签：深度学习 python

本文链接：https://blog.youkuaiyun.com/qq_35668469/article/details/108081044

Expected tensor for argument #1 ‘indices’ to have scalar type Long;but got torch.IntTensor instead

构建数据集代码

def data_gen(V, batch, nbatches):
  "Generate random data for a src-tgt copy task."
  for i in range(nbatches):
      data = torch.

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专栏目录

Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got torch.cuda.FloatTensor i

weixin_37817539的博客

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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

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

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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...

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transformer 4 RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long

叶子的博客

01-16

4939

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

2951

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

Expected tensor for argument #1 ‘input‘ to have the same type as tensor for argument #2 ‘weight‘； bu

wozhiukbench的博客

04-21

762

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)

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)

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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

RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got CUDAType

anshiquanshu的专栏

02-22

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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 =

RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long； but got CUDAFloatT

周迪新的博客

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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

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RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAType

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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

weixin_44007959的博客

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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 ...

Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';

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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 device as tensor for argument #2 ‘weight’；

zhu_ba的博客

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RuntimeError Expected tensor for argument #1 'input' to have the same device as tensor for argument_runtimeerror: expected tensor for argument #1 'inp-优快云博客。定义调用b模块的函数，并在a模块里启动该函数。造成gpu设备的连接混乱。定义调用b模块的函数，并在a模块里启动该函数。是由于模型中的涉及到gpu等设备的函数调用问题。

【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

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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。

pytorch RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long;

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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...