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

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

其他 2021-03-07 14:29:39 阅读次数: 0

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转载自blog.csdn.net/qq_41872271/article/details/105701128

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

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

[已解决]RuntimeError: Tensor for argument #2 ‘mat1‘ is on CPU, but expected it to be on GPU (

linear(): argument ‘input‘ (position 1) must be Tensor, not str

TypeError: conv2d(): argument 'input' (position 1) must be Tensor, not NoneType

TypeError: conv2d(): argument ‘input‘ (position 1) must be Tensor, not NoneType

Argument must be a dense tensor

Tensor for ‘out‘ is on CPU, Tensor for argument #1 ‘self‘ is on CPU

pytroch如何对线性层进行池化（pooling）？Expected 3-dimensional tensor, but got 2-dimensional tensor for argument

Expected object of backend CPU but got backend CUDA for argument #2 'weight'

RuntimeError: invalid argument 0: Tensors must have same number of dimensions: got 1 and 2 at /opt/conda/conda-

RuntimeError: Given groups=1, weight of size 16 1 3 3, expected input[2, 3, 512, 512] to have 1 chan

ValueError: All arguments should have the same length. The length of argument y is 2, whereas the

Mamba2报错：ValueError: Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)

torch.addcmul(input, value=1, tensor1, tensor2, out=None)的使用举例

torch.addcdiv(input, value=1, tensor1, tensor2, out=None)的使用举例

RuntimeError: Given groups=1, weight of size [64, 3, , ], expected input[1, 4, , ] to have 3

RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)

cannot compute MatMul as input #1(zero-based) was expected to be a double tensor but is a float...

报错 argument #2 is 'nil' '[not function]' expected

pytorch中数据集的划分方法及eError: take(): argument 'index' (position 1) must be Tensor, not numpy.ndarray错误原因

pytorch中数据集的划分方法及eError: take(): argument ‘index‘ (position 1) must be Tensor, not numpy.ndarray错误原因

Pytorch运行错误: groups=1, weight of size [8, 1, 3, 3], expected input[1, 3, 512, 512] to have 1 channel

Given groups=1,weight of size[512,1024,1,1],expected input[8, 320, 20, 20] to have 1024 channels, bu

异常错误示例：weight of size [32, 512, 1], expected input[256, 1024, 1] to have 512 channels, but got 1024

RuntimeError: Given groups=1, weight of size [64, 3, 7, 7], expected input[3, 1, 224, 224] to have 3

RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #2 ‘mat1‘

TypeError: Expected cv::UMat for argument ‘src1‘

YOLO7报错：indices should be either on cpu or on the same device as the indexed tensor (cpu)

Tensor

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