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chore: import upstream snapshot with attribution
2026-07-13 12:49:20 +08:00

47 lines
1.5 KiB
Python

import argparse
import os
import sys
import tempfile
from unittest.mock import Mock
# Comet must be imported before the libraries it wraps
import aim # noqa
from ludwig.contribs.aim import AimCallback
from tests.integration_tests.utils import category_feature, generate_data, image_feature, run_experiment
PATH_HERE = os.path.abspath(os.path.dirname(__file__))
PATH_ROOT = os.path.join(PATH_HERE, "..", "..", "..")
sys.path.insert(0, os.path.abspath(PATH_ROOT))
def run(csv_filename):
callback = AimCallback()
# Wrap these methods so we can check that they were called
callback.on_train_init = Mock(side_effect=callback.on_train_init)
callback.on_train_start = Mock(side_effect=callback.on_train_start)
# Image Inputs
with tempfile.TemporaryDirectory() as tmpdir:
image_dest_folder = os.path.join(tmpdir, "generated_images")
# Inputs & Outputs
input_features = [image_feature(folder=image_dest_folder)]
output_features = [category_feature(output_feature=True)]
rel_path = generate_data(input_features, output_features, csv_filename)
# Run experiment
run_experiment(input_features, output_features, dataset=rel_path, callbacks=[callback])
# Check that these methods were called at least once
callback.on_train_init.assert_called()
callback.on_train_start.assert_called()
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--csv-filename", required=True)
args = parser.parse_args()
run(args.csv_filename)