Software versions
Python : 3.12.7 | packaged by conda-forge | (main, Oct 4 2024, 16:05:46) [GCC 13.3.0]
Platform : Linux-5.15.167.4-microsoft-standard-WSL2-x86_64-with-glibc2.39
Legion : 24.11.1 (commit: ac6aae07cb18fa9de978b073766dd9e3def29dbb)
Legate : 24.11.1
[0 - 7f06e35b3600] 0.000000 {5}{module_config}: Module numa can not detect resources.
[0 - 7f06e35b3600] 0.000000 {4}{openmp}: numa support not found (or not working)
[0 - 7f06e35b3600] 0.000000 {5}{gpu}: /tmp/conda-croot/legate/work/arch-conda/skbuild_core/_deps/legion-src/runtime/realm/cuda/cuda_module.cc(3985):CUDA_DRIVER_FNPTR(cuIpcGetMemHandle)(&alloc.ipc_handle, alloc.dev_ptr) = 2(CUDA_ERROR_OUT_OF_MEMORY): out of memory
(Following's the output for nvidia-smi btw)
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 565.72 Driver Version: 566.14 CUDA Version: 12.7 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4070 ... On | 00000000:01:00.0 Off | N/A |
| N/A 48C P8 1W / 120W | 7825MiB / 8188MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 3830 C /python3.12 N/A |
+-----------------------------------------------------------------------------------------+
Jupyter notebook / Jupyter Lab version
No response
Expected behavior
No error
Observed behavior
When I run legate-issue or run import cupynumeric as np in python it raises the following error:
[0 - 7f06e35b3600] 0.000000 {5}{module_config}: Module numa can not detect resources.
[0 - 7f06e35b3600] 0.000000 {4}{openmp}: numa support not found (or not working)
[0 - 7f06e35b3600] 0.000000 {5}{gpu}: /tmp/conda-croot/legate/work/arch-conda/skbuild_core/_deps/legion-src/runtime/realm/cuda/cuda_module.cc(3985):CUDA_DRIVER_FNPTR(cuIpcGetMemHandle)(&alloc.ipc_handle, alloc.dev_ptr) = 2(CUDA_ERROR_OUT_OF_MEMORY): out of memory
Example code or instructions
Stack traceback or browser console output
No response
Software versions
(Following's the output for nvidia-smi btw)
Jupyter notebook / Jupyter Lab version
No response
Expected behavior
No error
Observed behavior
When I run
legate-issueor runimport cupynumeric as npin python it raises the following error:Example code or instructions
Stack traceback or browser console output
No response