ImportError: No module named _C #7

szagoruyko · 2016-09-02T18:17:57Z

Ubuntu 16.04, anaconda python 2.7, got this when trying to 'import torch'

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-c031d3dd82fc> in <module>()
----> 1 import torch

/opt/rocks/pytorch/torch/__init__.py in <module>()
----> 1 from torch._C import *
      2 import sys
      3 import math
      4
      5 _tensor_classes = set()

ImportError: No module named _C

The text was updated successfully, but these errors were encountered:

soumith · 2016-09-02T18:44:01Z

@apaszke can you add 16.04 to the build matrix

soumith · 2016-09-03T06:48:40Z

16.04 is not supported looks like it. i'll try to setup an ec2 based contbuild tomorrow

szagoruyko · 2016-09-03T06:50:18Z

@soumith the error on 14.04 is the same

apaszke · 2016-09-03T15:41:30Z

@szagoruyko Could you please try opening torch in any directory other than repo's root? It's trying to load the torch dir instead of the python package and gives you this error.

szagoruyko · 2016-09-03T15:43:37Z

@apaszke works :P so lame

soumith · 2016-09-03T15:47:12Z

hahaha

b1zantine · 2017-02-01T11:27:16Z

made the same mistake 😄

phenixcx · 2017-02-10T07:46:38Z

Hi, I met the same problem when installing PyTorch with Python 2.7.13, centos 7 and Anaconda 4.3.0 (64-bit). I also use '/root/anaconda2/bin/python' to launch python as soumith taught me in #574. Finally, it met the same problem. In addition, I installed torch 7 in another package before installing pytorch. torch can be launched standalone with 'th' in the pytorch package. Would you mind give me a hint?

The installing way is written as follows:
git clone https://github.com/pytorch/pytorch
pip install -r requirements.txt
python setup.py install

After that, the system told me that PyTorch is installed. Then I wrote down 'python' in the prompt command line. At last, 'import torch' was entered in the python command line. Unfortunately , I got the following information:
Traceback (most recent call last):
File "", line 1, in
File "torch/init.py", line 45, in
from torch._C import *
ImportError: No module named _C

The package /usr/lib/python2.7/site-packages has no torch package. The pytorch has a package torch, and has the following files:
[root@AliHPC-M40-434 torch]# ls -ll
total 236
drwxr-xr-x 3 root root 150 Feb 10 11:54 autograd
drwxr-xr-x 3 root root 48 Feb 10 11:54 backends
drwxr-xr-x 9 root root 4096 Feb 10 11:54 csrc
drwxr-xr-x 2 root root 109 Feb 10 11:54 cuda
drwxr-xr-x 2 root root 83 Feb 10 11:54 distributed
-rw-r--r-- 1 root root 2218 Feb 10 11:54 functional.py
-rw-r--r-- 1 root root 7768 Feb 10 11:54 init.py
-rw-r--r-- 1 root root 8762 Feb 10 13:49 init.pyc
drwxr-xr-x 4 root root 61 Feb 10 11:54 legacy
drwxr-xr-x 15 root root 4096 Feb 10 12:00 lib
drwxr-xr-x 2 root root 93 Feb 10 11:54 multiprocessing
drwxr-xr-x 6 root root 4096 Feb 10 11:54 nn
drwxr-xr-x 2 root root 4096 Feb 10 11:54 optim
-rw-r--r-- 1 root root 12581 Feb 10 11:54 serialization.py
drwxr-xr-x 2 root root 32 Feb 10 11:54 sparse
-rw-r--r-- 1 root root 3354 Feb 10 11:54 storage.py
-rw-r--r-- 1 root root 33716 Feb 10 11:54 _tensor_docs.py
-rw-r--r-- 1 root root 17009 Feb 10 11:54 tensor.py
-rw-r--r-- 1 root root 10346 Feb 10 11:54 _tensor_str.py
drwxr-xr-x 2 root root 71 Feb 10 11:55 _thnn
-rw-r--r-- 1 root root 99370 Feb 10 11:54 _torch_docs.py
drwxr-xr-x 6 root root 145 Feb 10 11:54 utils
-rw-r--r-- 1 root root 2532 Feb 10 11:54 _utils.py
-rw-r--r-- 1 root root 2895 Feb 10 13:49 _utils.pyc

soumith · 2017-02-10T07:47:50Z

you dont have to report it twice, i will reply on the other thread

phenixcx · 2017-02-10T07:55:51Z

Thank you very much @soumith . I will not repeat it next time.

Summary: TSIA. Redoing #7 to kick travis. Closes pytorch/gloo#8 Reviewed By: Yangqing Differential Revision: D4697132 Pulled By: pietern fbshipit-source-id: d03148aeddb2cf927b4ef3689c97d9ba4f4cdc9d

LinMaris · 2017-10-04T10:26:26Z

could you tell me whats the meaning of ' opening torch in any directory other than repo's root '

dkkim93 · 2018-05-31T22:18:33Z

@LinMaris, If your repo's root (for example) is in /home/dongki/library/pytorch, then please move to a different directory other than the repo's root (e.g., cd /home/dongki/) and open the torch. :-)

…pytorch#146372) Summary: Pull Request resolved: pytorch#146372 Pull Request resolved: pytorch#144120 # Summary ### Sticky points Cuda-graph rng handling has changed / deviated from original implementation. We will be left with a dangling 'offset' val and confusing naming due to BC ## Dependencies - Flash PR: Dao-AILab/flash-attention#1419 ### Other Points - The BC linter is complaining about losing generate.py and its functions which is not real BC surface cc albanD imported-using-ghimport Test Plan: Imported from OSS Building in dev `buck build @//mode/dev-nosan -c fbcode.nvcc_arch=h100a //caffe2:ATen-cu --show-full-output ` I and Nming the .so I do see that the flash symbols are correctly named: ``` 0000000001c3dfb0 t pytorch_flash::run_mha_bwd(pytorch_flash::Flash_bwd_params&, CUstream_st*)::$_0::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#7}::operator()() const 0000000001c36080 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()pytorch#2}::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#6}::operator()() const 0000000001c360e0 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()pytorch#2}::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#7}::operator()() const 0000000001c35fc0 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#6}::operator()() const 0000000001c36020 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#1}::operator()() const::{lambda()pytorch#7}::operator()() const ``` Reviewed By: vkuzo Differential Revision: D68502879 Pulled By: drisspg

…#146372) Summary: Pull Request resolved: #146372 Pull Request resolved: #144120 # Summary ### Sticky points Cuda-graph rng handling has changed / deviated from original implementation. We will be left with a dangling 'offset' val and confusing naming due to BC ## Dependencies - Flash PR: Dao-AILab/flash-attention#1419 ### Other Points - The BC linter is complaining about losing generate.py and its functions which is not real BC surface cc albanD imported-using-ghimport Test Plan: Imported from OSS Building in dev `buck build @//mode/dev-nosan -c fbcode.nvcc_arch=h100a //caffe2:ATen-cu --show-full-output ` I and Nming the .so I do see that the flash symbols are correctly named: ``` 0000000001c3dfb0 t pytorch_flash::run_mha_bwd(pytorch_flash::Flash_bwd_params&, CUstream_st*)::$_0::operator()() const::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const 0000000001c36080 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()#2}::operator()() const::{lambda()#1}::operator()() const::{lambda()#6}::operator()() const 0000000001c360e0 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()#2}::operator()() const::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const 0000000001c35fc0 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const::{lambda()#6}::operator()() const 0000000001c36020 t pytorch_flash::run_mha_fwd(pytorch_flash::Flash_fwd_params&, CUstream_st*, bool)::$_0::operator()() const::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const ``` Reviewed By: vkuzo Differential Revision: D68502879 Pulled By: drisspg