ImportError: Could not import _ext module. about h3dnet

[zaiweizhang]

When you are trying to install pointnet2, what's the output?
Can you paste it here? (after you run "python setup.py install")

[zaiweizhang]

I think this is your issue: facebookresearch/votenet#83

Please try these changes: erikwijmans/Pointnet2_PyTorch@1d5dca2

[zaiweizhang]

Why don't you try to change the pointnet codes following this:
erikwijmans/Pointnet2_PyTorch@1d5dca2

Then you do not need to downgrade pytorch.

[zaiweizhang]

The changes are made for pytorch 1.4, 1.5 version.
You can downgrade your pytorch 1.7 to 1.5 and keep the same CUDA version.

[giangdip2410]

@zaiweizhang thank you for your reply. this bug show then I run "python setup.py install"

running install
running bdist_egg
running egg_info
writing pointnet2.egg-info/PKG-INFO
writing dependency_links to pointnet2.egg-info/dependency_links.txt
writing top-level names to pointnet2.egg-info/top_level.txt
/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py:339: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
warnings.warn(msg.format('we could not find ninja.'))
writing manifest file 'pointnet2.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_ext
building 'pointnet2._ext' extension
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c _ext_src/src/ball_query.cpp -o build/temp.linux-x86_64-3.6/_ext_src/src/ball_query.o -O2 -I_ext_src/include -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:12,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
#pragma omp parallel for if ((end - begin) >= grain_size)

In file included from _ext_src/src/ball_query.cpp:7:0:
_ext_src/src/ball_query.cpp: In function ‘at::Tensor ball_query(at::Tensor, at::Tensor, float, int)’:
_ext_src/include/utils.h:17:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^
_ext_src/include/utils.h:17:5: note: in definition of macro ‘CHECK_CONTIGUOUS’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^~~~~~~~
_ext_src/include/utils.h:17:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^
_ext_src/include/utils.h:17:5: note: in definition of macro ‘CHECK_CONTIGUOUS’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^~~~~~~~
_ext_src/include/utils.h:17:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^
_ext_src/include/utils.h:17:5: note: in definition of macro ‘CHECK_CONTIGUOUS’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^~~~~~~~
_ext_src/include/utils.h:17:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^
_ext_src/include/utils.h:17:5: note: in definition of macro ‘CHECK_CONTIGUOUS’
AT_CHECK(x.is_contiguous(), #x " must be a contiguous tensor");
^~~~~~~~
_ext_src/include/utils.h:28:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^
_ext_src/include/utils.h:28:5: note: in definition of macro ‘CHECK_IS_FLOAT’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^~~~~~~~
_ext_src/include/utils.h:28:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^
_ext_src/include/utils.h:28:5: note: in definition of macro ‘CHECK_IS_FLOAT’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^~~~~~~~
_ext_src/include/utils.h:28:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^
_ext_src/include/utils.h:28:5: note: in definition of macro ‘CHECK_IS_FLOAT’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^~~~~~~~
_ext_src/include/utils.h:28:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^
_ext_src/include/utils.h:28:5: note: in definition of macro ‘CHECK_IS_FLOAT’
AT_CHECK(x.scalar_type() == at::ScalarType::Float,
^~~~~~~~
_ext_src/src/ball_query.cpp:20:20: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
if (new_xyz.type().is_cuda()) {
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
In file included from _ext_src/src/ball_query.cpp:7:0:
_ext_src/include/utils.h:12:21: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor");
^
_ext_src/src/ball_query.cpp:21:5: note: in expansion of macro ‘CHECK_CUDA’
CHECK_CUDA(xyz);
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
In file included from _ext_src/src/ball_query.cpp:7:0:
_ext_src/include/utils.h:12:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor");
^
_ext_src/include/utils.h:12:5: note: in definition of macro ‘CHECK_CUDA’
AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor");
^~~~~~~~
_ext_src/include/utils.h:12:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor");
^
_ext_src/include/utils.h:12:5: note: in definition of macro ‘CHECK_CUDA’
AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor");
^~~~~~~~
_ext_src/src/ball_query.cpp:28:20: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
if (new_xyz.type().is_cuda()) {
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:277:30: note: declared here
DeprecatedTypeProperties & type() const {
^~~~
_ext_src/src/ball_query.cpp:30:74: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
radius, nsample, new_xyz.data(),
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:363:7: note: declared here
T * data() const {
^~~~
_ext_src/src/ball_query.cpp:31:53: warning: ‘T* at::Tensor::data() const [with T = float]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
xyz.data(), idx.data());
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:363:7: note: declared here
T * data() const {
^~~~
_ext_src/src/ball_query.cpp:31:70: warning: ‘T* at::Tensor::data() const [with T = int]’ is deprecated: Tensor.data() is deprecated. Please use Tensor.data_ptr() instead. [-Wdeprecated-declarations]
xyz.data(), idx.data());
^
In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
from _ext_src/include/ball_query.h:7,
from _ext_src/src/ball_query.cpp:6:
/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:363:7: note: declared here
T * data() const {
^~~~
_ext_src/src/ball_query.cpp:33:5: error: ‘AT_CHECK’ was not declared in this scope
AT_CHECK(false, "CPU not supported");
^~~~~~~~
_ext_src/src/ball_query.cpp:33:5: note: suggested alternative: ‘DCHECK’
AT_CHECK(false, "CPU not supported");
^~~~~~~~
DCHECK
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

[giangdip2410]

thank you @zaiweizhang . I will try to downgrade to Torch.1.4

[giangdip2410]

@zaiweizhang : I downgraded to Torch1.4 this issue was solved but new bug happens:

Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train_1bb.py", line 40, in
from tf_visualizer import Visualizer as TfVisualizer
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/utils/tf_visualizer.py", line 12, in
import tf_logger
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/utils/tf_logger.py", line 6, in
import tensorflow as tf
File "/usr/local/lib/python3.6/dist-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/init.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

[zaiweizhang]

I think the CUDA version has changed. Do you have CUDA 9.0? Have you set the path correctly?

[giangdip2410]

I do not have CUDA 9.0, now I am using CUDA 10.0. This bug I meet when run your code on Google colab

[giangdip2410]

@zaiweizhang

I tried to update pointnet2 folder as erikwijmans/Pointnet2_PyTorch@ but it seem not working, same bug happen (I use goolge colab with default : Touch=1.7.0 and cuda101

2021-02-05 07:25:50.865804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
5285 5050
331 316
Traceback (most recent call last):
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/pointnet2/pointnet2_utils.py", line 26, in
import pointnet2._ext as _ext
ImportError: dynamic module does not define module export function (PyInit__ext)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 167, in
MODEL = importlib.import_module(FLAGS.model) # import network module
File "/usr/lib/python3.6/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 994, in _gcd_import
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/models/hdnet.py", line 23, in
from backbone_module import Pointnet2Backbone
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/models/backbone_module.py", line 19, in
from pointnet2_modules import PointnetSAModuleVotes, PointnetSAModuleVotesWith, PointnetFPModule, PointnetPlaneVotes
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/pointnet2/pointnet2_modules.py", line 21, in
import pointnet2_utils
File "/content/drive/My Drive/Computer_Vision/H3DNet/H3DNet/pointnet2/pointnet2_utils.py", line 30, in
"Could not import _ext module.\n"
ImportError: Could not import _ext module.
Please see the setup instructions in the README: https://github.com/erikwijmans/Pointnet2_PyTorch/blob/master/README.rst

[zaiweizhang]

Closing. Feel free to open if you have other questions.

[AbdulazizAlnahhas]

I tried to downgrade pytorch to 1.5.1 and the same error still appeared
Any ideas?

[zaiweizhang]

Are you using the same CUDA version?