Skip to content

CUDA issues #9

@RaresAmbrus

Description

@RaresAmbrus

Thank you for your work and for open-sourcing the code! I am trying to run your pipeline, but I am running into a couple of issues. I have followed the instructions from the repo to set up the code as well as the jittor instructions to enable CUDA support.

First, it seems like train_part.py isn't using CUDA, and it's running very slowly on my machine (1% in ~8 hours). If I add jt.flags.use_cuda = 1 I get the follwoing error:

python3.7: symbol lookup error: /home/ubuntu/.cache/jittor/jt1.3.4/g++7.5.0/py3.7.13/Linux-5.4.0-10xfe/IntelRCoreTMi9x9f/default/cu11.2.152_sm_86/jit/cudnn_conv3d_Tx_bool__Ty_float32__Tw_float32__JIT_1__JIT_cuda_1__index_t_int32__hash_b2c2838050d33db1_op.so: undefined symbol: _ZN6jittor11getDataTypeIbEE15cudnnDataType_tv

On the other hand, I can run python3.7 -m jittor.test.test_cudnn_op and python3.7 -m jittor.test.test_resnet without any errors.

Any ideas? Thanks for the help!

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions