Understanding CUDA packages installed using pip -- errors & fix

After we install newer CUDA toolkit some python code written using numpy+cupy+numba showed the below error on running. Yes, even after setting the newer cuda home export CUDA_HOME=/usr/local/cuda-11.5.

Traceback (most recent call last):
  File "ga-vrp-gpu.py", line 684, in <module>
    calc_cost_gpu[blocks, threads_per_block](data_d, popsize, vrp_capacity, cost_table_d)
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 804, in __call__
    kernel = self.specialize(*args)
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 815, in specialize
    kernel = self.compile(argtypes)
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 834, in compile
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 548, in bind
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 426, in get
    ptx = self.ptx.get()
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/compiler.py", line 397, in get
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/cudadrv/nvvm.py", line 496, in llvm_to_ptx
    ptx = cu.compile(**opts)
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/cudadrv/nvvm.py", line 233, in compile
    self._try_error(err, 'Failed to compile\n')
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/cudadrv/nvvm.py", line 251, in _try_error
    self.driver.check_error(err, "%s\n%s" % (msg, self.get_log()))
  File "/home/rajesh/.local/lib/python3.6/site-packages/numba/cuda/cudadrv/nvvm.py", line 141, in check_error
    raise exc
numba.cuda.cudadrv.error.NvvmError: Failed to compile

<unnamed> (60, 22): parse expected comma after load's type

Steps to Resolve.

  1. Uninstall dependencies pip3 uninstall cupy numba numpy
  2. Set newer environment export CUDA_HOME=/usr/local/cuda-11.5
  3. Install again. pip3 install cupy numba numpy
  4. Make sure to export CUDA_HOME or in .bashrc before running python3 gpu-program.py

Office use

Collect env details

Took this from pytorch git repo.

# For security purposes, please check the contents of collect_env.py before running it.

wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py 
python3 collect_env.py

My env details.

On my local machine.

Collecting environment information...
PyTorch version: 1.13.0+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Linux Mint 20.3 (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.8.10 (default, Jun 22 2022, 20:18:18)  [GCC 9.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-41-generic-x86_64-with-glibc2.29
Is CUDA available: True
CUDA runtime version: 11.7.64
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3060 Laptop GPU
Nvidia driver version: 515.48.07
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.13.0
[pip3] torchaudio==0.13.0
[pip3] torchvision==0.14.0
[conda] No relevant packages
★ 5 min read · Rajesh Pandian M · python , cuda , pip , cupy , numba , numpy