[Linux server error] TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor - Code World

[Linux server error] TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor

Others 2021-03-31 02:07:41 views: null

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Origin blog.csdn.net/qq_45347185/article/details/108965347

[Linux server error] TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

【解决】can‘t convert CUDA tensor to numpy. Use Tensor.cpu to copy the tensor to host memory first

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

can‘t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory

Convert between tensor and numpy

не может преобразовать тензор CUDA в NumPy. Использование Tensor.cpu (), чтобы скопировать тензор памяти хоста первым

【解决】не может конвертировать тензор CUDA в numpy. Используйте Tensor.cpu, чтобы сначала скопировать тензор в память хоста.

Numpy to Tensor

【Tensorflow】 ValueError: Failed to convert a NumPy array to a Tensor

TypeError: ‘Tensor‘ object is not callable

tf.convert_to_tensor

pytorch--tensor.copy_()

The BERT model reproduces the error: Cannot convert a symbolic Tensor (bert/encoder/strided_slice:0) to a numpy solution

"Invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python" solution

não pode converter CUDA tensor para numpy. Use Tensor.cpu () para copiar o tensor a memória do host primeiro

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