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***** Testing NumPy with spmv on the L dataset *****
Process Process-46:
Traceback (most recent call last):
File "/opt/miniconda3/envs/chrombpnet/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
File "/opt/miniconda3/envs/chrombpnet/lib/python3.7/multiprocessing/process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "run_framework.py", line 18, in run_benchmark
test.run(preset, validate, repeat, timeout)
File "/root/npbench/npbench/infrastructure/test.py", line 66, in run
bdata = self.bench.get_data(preset)
File "/root/npbench/npbench/infrastructure/benchmark.py", line 68, in get_data
exec(init_str, data)
File "<string>", line 1, in <module>
File "/root/npbench/npbench/benchmarks/spmv/spmv.py", line 19, in initialize
random_state=rng)
File "/opt/miniconda3/envs/chrombpnet/lib/python3.7/site-packages/scipy/sparse/construct.py", line 786, in random
data_rvs = random_state.rand
AttributeError: 'numpy.random._generator.Generator' object has no attribute 'rand'
The text was updated successfully, but these errors were encountered:
@SuhasSrinivasan thank you for reporting. The issue is caused by a mismatch between the scipy version and numpy version. I was able to reproduce the issue when using scipy 1.3 with numpy 1.19.5. The issue does not occur with scipy 1.7.3, and can be resolved by running pip install --upgrade scipy.
This issue occurred when running
python run_framework.py -f numpy -p L
OS: Ubuntu 20.04.4 LTS
Python: 3.7.13
numpy: 1.19.5
The text was updated successfully, but these errors were encountered: