Attempted to read a PyTorch file with version 3, but the maximum supported version for reading is 2. Your PyTorch installation may be too old. (init at /pytorch/caffe2/serialize/inline_container.cc:132)

[ifmaq1]

I am working in a conda environment
I have Cuda 10.0 installed on my tesla server and I installed torch==1.4.0+cu100 and torchvision==0.5.0+cu100 to make it compatible with cuda.

I am using https://github.com/facebookresearch/mmf

when I used the command to train my model
It gives me an error

RuntimeError: version <= kMaxSupportedFileFormatVersion INTERNAL ASSERT FAILED at /pytorch/caffe2/serialize/inline_container.cc:132, please report a bug to PyTorch. Attempted to read a PyTorch file with version 3, but the maximum supported version for reading is 2. Your PyTorch installation may be too old. (init at /pytorch/caffe2/serialize/inline_container.cc:132)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7fb7c7e88193 in /home/ifrahmaqsood/anaconda3/envs/mmf1/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: caffe2::serialize::PyTorchStreamReader::init() + 0x1f5b (0x7fb7cafaeafb in /home/ifrahmaqsood/anaconda3/envs/mmf1/lib/python3.6/site-packages/torch/lib/libtorch.so)
frame #2: caffe2::serialize::PyTorchStreamReader::PyTorchStreamReader(std::string const&) + 0x64 (0x7fb7cafafd14 in /home/ifrahmaqsood/anaconda3/envs/mmf1/lib/python3.6/site-packages/torch/lib/libtorch.so)_
and the list goes on

Can I change pytorch files to make them compatible with my pytorch versions?
Please if you could help me with this. As I cannot change the CUDA version due to shared server among multiple users.

python -m torch.utils.collect_env

Collecting environment information...
PyTorch version: 1.4.0+cu100
Is debug build: No
CUDA used to build PyTorch: 10.0

OS: Ubuntu 16.04.7 LTS
GCC version: (Ubuntu 5.5.0-12ubuntu1~16.04) 5.5.0 20171010
CMake version: version 3.18.2

Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: 10.0.130
GPU models and configuration:
GPU 0: Tesla K80
GPU 1: Tesla K80

Nvidia driver version: 430.64
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.2
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.2
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.2

Versions of relevant libraries:
[pip3] numpy==1.19.5
[pip3] torch==1.4.0+cu100
[pip3] torchtext==0.5.0
[pip3] torchvision==0.5.0+cu100
[conda] torch 1.4.0+cu100 pypi_0 pypi
[conda] torchtext 0.5.0 pypi_0 pypi
[conda] torchvision 0.5.0+cu100 pypi_0 pypi

[skyline75489]

So you have to use CUDA 10.0 and best PyTorch version you can use is 1.4.0? The error message is pretty clear.

[ifmaq1]

Yes I think I can't go to any other version due to CUDA 10.0.

I used this to install pytorch and torchvision with CUDA10.0

sudo /home/ifrahmaqsood/anaconda3/envs/mmf1/bin/pip install with specified version and -f
sudo /home/ifrahmaqsood/anaconda3/envs/mmf1/bin/pip install torch==1.4.0 torchvision==0.5.0 -f https://download.pytorch.org/whl/cu100/torch_stable.html

Can I install any other stable version with cuda 10.0? As I have searched alot to download these versions