Pytorch AttributeError: module 'torch' has no attribute 'as_tensor'
Pytorch AttributeError: module 'torch' has no attribute 'as_tensor'
$ python main.py --hetero
Created directory results/ACMRaw_2020-01-13_01-20-26
Traceback (most recent call last):
File "main.py", line 101, in <module>
main(args)
File "main.py", line 30, in main
val_mask, test_mask = load_data(args['dataset'])
File "/home/cnudi1/wook/dgl/examples/pytorch/han/utils.py", line 225, in load_data
return load_acm_raw(remove_self_loop)
File "/home/cnudi1/wook/dgl/examples/pytorch/han/utils.py", line 189, in load_acm_raw
pa = dgl.bipartite(p_vs_a, 'paper', 'pa', 'author')
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/convert.py", line 260, in bipartite
return create_from_scipy(data, utype, etype, vtype)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/convert.py", line 823, in create_from_scipy
indptr = utils.toindex(spmat.indptr)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 242, in toindex
return data if isinstance(data, Index) else Index(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 15, in __init__
self._initialize_data(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 22, in _initialize_data
self._dispatch(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 75, in _dispatch
self._user_tensor_data[F.cpu()] = F.zerocopy_from_numpy(self._pydata)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/backend/pytorch/tensor.py", line 276, in zerocopy_from_numpy
return th.as_tensor(np_array)
AttributeError: module 'torch' has no attribute 'as_tensor'
当我尝试 运行 代码 (https://github.com/dmlc/dgl/blob/master/examples/pytorch/han/main.py)
时出现错误
来自 DGL
(https://github.com/dmlc/dgl)
它需要 CUDA 和 Pytorch,所以我设法安装了它。
但是我遇到了错误,无法通过 Google/Whosebug 搜索
找到解决方案
我的环境是
- Linux 明斯基 3.10.0-957.5.1.el7.ppc64le
- CentOS
- Python 3.6.9
- 康达 4.5.11
- CUDA 10.1
- NVCC 10.1
- 火炬 0.4.0
- 火炬视觉 0.2.1
Pytorch 在 Python
中运行良好
>>> import torch
>>> print (torch.__version__)
0.4.0
>>> import torchvision
>>> print (torchvision.__version__)
0.2.1
你能帮帮我吗?
* DGL是从源代码安装的
** Pytorch 与来自 channel:engility(How to install pytorch on Power 8 or PPC64 machine?)
的 conda 一起安装
conda install -c engility pytorch
因为其他方式(默认 conda、pip、从源代码安装)对 ppc64le 不起作用
tl;dr 升级到 PyTorch 0.4。1
请注意,DGL 需要 PyTorch 0.4.1,而您使用的是 PyTorch 0.4.0。如果仔细观察,您会发现 as_tensor
是 proposed in 30 Apr 2018 and merged in 1 May 2018. You'll also see that PyTorch 0.4.0 was released before that on 24 Apr 2018, whereas PyTorch 0.4.1 was release after on 26 Jul 2018. In fact, if you take a look at the changelog of the 0.4.1 version,您会注意到宣布了一个新的运算符:torch.as_tensor
:)
$ python main.py --hetero
Created directory results/ACMRaw_2020-01-13_01-20-26
Traceback (most recent call last):
File "main.py", line 101, in <module>
main(args)
File "main.py", line 30, in main
val_mask, test_mask = load_data(args['dataset'])
File "/home/cnudi1/wook/dgl/examples/pytorch/han/utils.py", line 225, in load_data
return load_acm_raw(remove_self_loop)
File "/home/cnudi1/wook/dgl/examples/pytorch/han/utils.py", line 189, in load_acm_raw
pa = dgl.bipartite(p_vs_a, 'paper', 'pa', 'author')
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/convert.py", line 260, in bipartite
return create_from_scipy(data, utype, etype, vtype)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/convert.py", line 823, in create_from_scipy
indptr = utils.toindex(spmat.indptr)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 242, in toindex
return data if isinstance(data, Index) else Index(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 15, in __init__
self._initialize_data(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 22, in _initialize_data
self._dispatch(data)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/utils.py", line 75, in _dispatch
self._user_tensor_data[F.cpu()] = F.zerocopy_from_numpy(self._pydata)
File "/home/cnudi1/.conda/envs/lcr_env/lib/python3.6/site-packages/dgl-0.4-py3.6-linux-ppc64le.egg/dgl/backend/pytorch/tensor.py", line 276, in zerocopy_from_numpy
return th.as_tensor(np_array)
AttributeError: module 'torch' has no attribute 'as_tensor'
当我尝试 运行 代码 (https://github.com/dmlc/dgl/blob/master/examples/pytorch/han/main.py)
时出现错误来自 DGL (https://github.com/dmlc/dgl)
它需要 CUDA 和 Pytorch,所以我设法安装了它。
但是我遇到了错误,无法通过 Google/Whosebug 搜索
找到解决方案我的环境是
- Linux 明斯基 3.10.0-957.5.1.el7.ppc64le
- CentOS
- Python 3.6.9
- 康达 4.5.11
- CUDA 10.1
- NVCC 10.1
- 火炬 0.4.0
- 火炬视觉 0.2.1
Pytorch 在 Python
中运行良好>>> import torch
>>> print (torch.__version__)
0.4.0
>>> import torchvision
>>> print (torchvision.__version__)
0.2.1
你能帮帮我吗?
* DGL是从源代码安装的
** Pytorch 与来自 channel:engility(How to install pytorch on Power 8 or PPC64 machine?)
的 conda 一起安装conda install -c engility pytorch
因为其他方式(默认 conda、pip、从源代码安装)对 ppc64le 不起作用
tl;dr 升级到 PyTorch 0.4。1
请注意,DGL 需要 PyTorch 0.4.1,而您使用的是 PyTorch 0.4.0。如果仔细观察,您会发现 as_tensor
是 proposed in 30 Apr 2018 and merged in 1 May 2018. You'll also see that PyTorch 0.4.0 was released before that on 24 Apr 2018, whereas PyTorch 0.4.1 was release after on 26 Jul 2018. In fact, if you take a look at the changelog of the 0.4.1 version,您会注意到宣布了一个新的运算符:torch.as_tensor
:)