The error "[Errno2]" when trying to turn the python script below. No such file or directory: 'python' appears.
I don't know how to solve it, so please let me know.
What I'm doing is I'm trying to create a BERT that I learned on Wikipedia, and I'm trying to do that pre-learning step.
Since there is a lot of input to run from the terminal, we assume that the following python script is created and executed to automatically pre-learn.
The execution environment is nvidia-docker, and the container base is ubuntu18.04, where you are trying to install python and so on in the container.
tensorflow-gpu==1.15.0
import tensorflow as tf
import subprocess
print(tf.__version__)
input_data_gcs='/work/data'
target_dirs = [
'AA', 'AB', 'AC', 'AD', 'AE', 'AF', 'AG', 'AH', 'AI', 'AJ', 'AK', 'AL', 'AM', 'AN',
'AO', 'AP', 'AQ', 'AR', 'AS', 'AT', 'AU', 'AV', 'AW', 'AX', 'AY', 'AZ', 'BA', 'BB',
'BC', 'BD', 'BE'
]
max_seq_len = 512
input_file=', '.join([{}/wiki/{}/all_maxseq{}.tfrecord'.format(input_data_gcs,elem,max_seq_len)for elemin target_dirs])
output_gcs = '/work/model'
cmd = ('python')
'./src/run_pretraining.py'
'--input_file={}'
'--output_dir={}'
'--do_train=True'
'--do_eval=True'
'--train_batch_size=64'
'--max_seq_length={}'
'--max_predictions_per_seq=20'
'--num_train_steps=1400000'
'--num_warmup_steps=10000'
'--save_checkpoints_steps=10000'
'--learning_rate=1e-4'
.format(input_file, output_gcs, max_seq_len))
subprocess.run(cmd.split())
The following error will be printed using this code, and the process is not progressing.
FileNotFoundError: [Errno2] No such file or directory: 'python': 'python'
I look forward to hearing from someone.
python python3 machine-learning
python3
As this is a question with the tag,
Assume you installed Python with apt install python3
.
You must use the python3
command instead of the python
command.
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