RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`

I get this error - Please let me know if you may have any suggestions?

(gdrnpp) mona@ada:~/gdrnpp_bop2022$ ./det/yolox/tools/test_yolox.sh ./configs/yolox/bop_pbr/yolox_x_640_augCozyAAEhsv_ranger_30_epochs_mona_bop_test.py 0 ./output/yolox/bop_pbr/yolox_x_640_augCozyAAEhsv_ranger_30_epochs_mona_bop_test/model_final.pth



_module.pnp_net.features.0.weight
  _module.pnp_net.features.1.{bias, weight}
  _module.pnp_net.features.3.weight
  _module.pnp_net.features.4.{bias, weight}
  _module.pnp_net.features.6.weight
  _module.pnp_net.features.7.{bias, weight}
  _module.pnp_net.fc1.{bias, weight}
  _module.pnp_net.fc2.{bias, weight}
  _module.pnp_net.fc_r.{bias, weight}
  _module.pnp_net.fc_t.{bias, weight}
[0207_134552 detectron2@57]: 	Fusing conv bn...
ERROR [0207_134553 d2.engine.launch@82]: An error has been caught in function 'launch', process 'MainProcess' (839409), thread 'MainThread' (140334550648640):
Traceback (most recent call last):

  File "/home/mona/gdrnpp_bop2022/./det/yolox/tools/main_yolox.py", line 70, in <module>
    launch(
    -> <function launch at 0x7fa2132cac10>

> File "/home/mona/anaconda3/envs/gdrnpp/lib/python3.9/site-packages/detectron2/engine/launch.py", line 82, in launch
    main_func(*args)
    |          -> (Namespace(config_file='./configs/yolox/bop_pbr/yolox_x_640_augCozyAAEhsv_ranger_30_epochs_mona_bop_test.py', resume=False,...
    -> <function main at 0x7fa0a6bc98b0>

  File "/home/mona/gdrnpp_bop2022/./det/yolox/tools/main_yolox.py", line 58, in main
    model = fuse_model(model)
            |          -> YOLOX(
            |               (backbone): YOLOPAFPN(
            |                 (backbone): CSPDarknet(
            |                   (stem): Focus(
            |                     (conv): BaseConv(
            |                       (conv): ...
            -> <function fuse_model at 0x7fa113d48310>

  File "/home/mona/gdrnpp_bop2022/det/yolox/tools/../../../det/yolox/utils/model_utils.py", line 67, in fuse_model
    m.conv = fuse_conv_and_bn(m.conv, m.bn)  # update conv
    |        |                |       -> BaseConv(
    |        |                |            (conv): Conv2d(12, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
    |        |                |            (bn): BatchNorm2d(80, eps...
    |        |                -> BaseConv(
    |        |                     (conv): Conv2d(12, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
    |        |                     (bn): BatchNorm2d(80, eps...
    |        -> <function fuse_conv_and_bn at 0x7fa113d48280>
    -> BaseConv(
         (conv): Conv2d(12, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
         (bn): BatchNorm2d(80, eps...

  File "/home/mona/gdrnpp_bop2022/det/yolox/tools/../../../det/yolox/utils/model_utils.py", line 57, in fuse_conv_and_bn
    fusedconv.bias.copy_(torch.mm(w_bn, b_conv.reshape(-1, 1)).reshape(-1) + b_bn)
    |                    |     |  |     |      |                             -> tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
    |                    |     |  |     |      |                                        0., 0., 0., 0...
    |                    |     |  |     |      -> <method 'reshape' of 'torch._C._TensorBase' objects>
    |                    |     |  |     -> tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
    |                    |     |  |                0., 0., 0., 0...
    |                    |     |  -> tensor([[0.9995, 0.0000, 0.0000,  ..., 0.0000, 0.0000, 0.0000],
    |                    |     |             [0.0000, 0.9995, 0.0000,  ..., 0.0000, 0.0000, 0.0000...
    |                    |     -> <built-in method mm of type object at 0x7fa1e1695ee0>
    |                    -> <module 'torch' from '/home/mona/anaconda3/envs/gdrnpp/lib/python3.9/site-packages/torch/__init__.py'>
    -> Conv2d(12, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))

RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)`

and I have:

(gdrnpp) mona@ada:~/gdrnpp_bop2022$ python -m torch.utils.collect_env
Collecting environment information...
PyTorch version: 1.10.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.0-1ubuntu1.1
CMake version: version 3.22.1
Libc version: glibc-2.35

Python version: 3.9.18 (main, Sep 11 2023, 13:41:44)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.2.0-39-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 11.8.89
GPU models and configuration: GPU 0: NVIDIA RTX 6000 Ada Generation
Nvidia driver version: 535.104.12
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.7
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.7
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.3
[pip3] pytorch-lightning==1.6.0
[pip3] torch==1.10.1
[pip3] torchaudio==0.10.1
[pip3] torchmetrics==1.3.0.post0
[pip3] torchvision==0.11.2
[conda] blas                      1.0                         mkl    conda-forge
[conda] cudatoolkit               11.3.1              hb98b00a_12    conda-forge
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2023.1.0         h213fc3f_46344  
[conda] mypy-extensions           1.0.0                    pypi_0    pypi
[conda] numpy                     1.26.3           py39h474f0d3_0    conda-forge
[conda] pytorch                   1.10.1          py3.9_cuda11.3_cudnn8.2.0_0    pytorch
[conda] pytorch-lightning         1.6.0                    pypi_0    pypi
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torch                     2.2.0                    pypi_0    pypi
[conda] torchaudio                0.10.1               py39_cu113    pytorch
[conda] torchmetrics              1.3.0.post0              pypi_0    pypi
[conda] torchvision               0.11.2               py39_cu113    pytorch

I am using this repo