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failure while preprocess in demo-abacus #56
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Hi, Please provide the |
Hello PhD.Li |
It seems that the recent update to ABACUS has caused a change in the output format, making it incompatible with the DeepH-pack. To resolve this issue temporarily, you can modify the code by following these steps:
I have tested this modification on the |
Hello PhD.Li |
Please confirm which specific data corresponds to the abacus file that is causing the error, as I attempted to process the
|
Hi PhD.Li |
Hello PhD.Li, I am a beginner in DeepH.
When I tried to replicate the “demo: train the DeepH model using the Abacus interface” , I encountered the failure when I run step2-preprocess, the command line display:
User config name: ['preprocess.ini']
Found 3 directories to preprocess
^MPreprocessing No. 1/3 [08:00:00<?]...Output subdirectories: OUT.ABACUS
Traceback (most recent call last):
File "/public3/home/scg8978/.conda/envs/python39/bin/deeph-preprocess", line 33, in
sys.exit(load_entry_point('deeph==0.2.2', 'console_scripts', 'deeph-preprocess')())
File "/public3/home/scg8978/.conda/envs/python39/lib/python3.9/site-packages/deeph/scripts/preprocess.py", line 147, in main
worker(index)
File "/public3/home/scg8978/.conda/envs/python39/lib/python3.9/site-packages/deeph/scripts/preprocess.py", line 118, in worker
abacus_parse(abspath, os.path.abspath(relpath), 'OUT.' + abacus_suffix)
File "/public3/home/scg8978/.conda/envs/python39/lib/python3.9/site-packages/deeph/preprocess/abacus_get_data.py", line 160, in abacus_parse
assert line is not None, 'Cannot find "NSPIN" in log file'
AssertionError: Cannot find "NSPIN" in log file
My preprocess.ini is
[basic]
raw_dir =./dataset_3_graphene
processed_dir =./preprocessed_3_graphene
target = hamiltonian
interface = abacus
[interpreter]
julia_interpreter = julia
[graph]
radius = -1
create_from_DFT = True
Although I have been success in master the process of deeph using the demo_abacus in the bohrium platform, I am still a beginner,I can't success in run the demo in our supercomputer, I want to ask how I can solve this problem. looking forward to your reply.
best wishes.
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