pytorch中 += 操作被视为是原地操作

Microsoft Windows [版本 10.0.18363.1316]
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C:\Users\chenxuqi>conda activate ssd4pytorch1_2_0

(ssd4pytorch1_2_0) C:\Users\chenxuqi>python
Python 3.7.7 (default, May  6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>>
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x0000011406BFD330>
>>>
>>> a = torch.randn(3,4,requires_grad=True)
>>> a
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]], requires_grad=True)
>>> a = a+2
>>> a
tensor([[2.2824, 1.6285, 2.9088, 0.2399],
        [1.8194, 4.0937, 3.0406, 0.2349],
        [3.1216, 2.8440, 2.1783, 2.6859]], grad_fn=<AddBackward0>)
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x0000011406BFD330>
>>>
>>> a = torch.randn(3,4,requires_grad=True)
>>> a
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]], requires_grad=True)
>>> a += 2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: a leaf Variable that requires grad has been used in an in-place operation.
>>>
>>>
>>> ^Z


(ssd4pytorch1_2_0) C:\Users\chenxuqi>conda activate pytorch_1.7.1_cu102

(pytorch_1.7.1_cu102) C:\Users\chenxuqi>python
Python 3.7.9 (default, Aug 31 2020, 17:10:11) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x0000024EBCC67870>
>>>
>>> a = torch.randn(3,4,requires_grad=True)
>>> a
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]], requires_grad=True)
>>>
>>> a = a + 2
>>> a
tensor([[2.2824, 1.6285, 2.9088, 0.2399],
        [1.8194, 4.0937, 3.0406, 0.2349],
        [3.1216, 2.8440, 2.1783, 2.6859]], grad_fn=<AddBackward0>)
>>> a += 2
>>> a
tensor([[4.2824, 3.6285, 4.9088, 2.2399],
        [3.8194, 6.0937, 5.0406, 2.2349],
        [5.1216, 4.8440, 4.1783, 4.6859]], grad_fn=<AddBackward0>)
>>>
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x0000024EBCC67870>
>>>
>>> a = torch.randn(3,4,requires_grad=True)
>>> a
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]], requires_grad=True)
>>>
>>> a += 2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
RuntimeError: a leaf Variable that requires grad is being used in an in-place operation.
>>>
>>>
>>>

标签：tensor,requires,torch,原地,pytorch,True,操作,grad,seed
来源： https://blog.csdn.net/m0_46653437/article/details/113528037