JDACS4C-IMPROVE / Benchmarks

ECP-CANDLE Benchmarks
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UNO - preprocessing can't find config file #3

Open wilke opened 10 months ago

wilke commented 10 months ago

Command: singularity run build/Uno.sif preprocess.sh /candle_data_dir -h Host: lambda Container: build from develop branch

wilke@lambda7:~/IMPROVE/Singularity$ singularity run build/Uno.sif preprocess.sh /candle_data_dir -h
CMD = python /usr/local/Benchmarks/Pilot1/Uno_IMPROVE//uno_preprocess_improve.py --config_file -h
using IMPROVE_DATA_DIR /candle_data_dir
using CANDLE_CONFIG
running command python /usr/local/Benchmarks/Pilot1/Uno_IMPROVE//uno_preprocess_improve.py --config_file -h
2023-12-19 21:30:46.018880: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-19 21:30:46.430029: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Importing candle utils for Keras
Traceback (most recent call last):
  File "/usr/local/Benchmarks/Pilot1/Uno_IMPROVE//uno_preprocess_improve.py", line 492, in <module>
    main(sys.argv[1:])
  File "/usr/local/Benchmarks/Pilot1/Uno_IMPROVE//uno_preprocess_improve.py", line 477, in main
    params = frm.initialize_parameters(
  File "/usr/local/IMPROVE/improve/framework.py", line 591, in initialize_parameters
    frm = ImproveBenchmark(
  File "/usr/local/lib/python3.8/dist-packages/candle/benchmark_def.py", line 71, in __init__
    raise Exception(
Exception: ERROR ! Required default configuration file not available.  File /candle_data_dir/uno_default_model.txt ... Exiting
wilke commented 10 months ago

UNO is failing basic tests. Transferring this issue to the Benchmark repo.

Please fix the use of filepath in the preprocess script. Should behave the same way as in the train script. In addition clean up the multiple redundant value assignments for filepath.