mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
synced 2026-02-19 11:56:43 -05:00
cb509343d9
- fix setup_venv.sh for benchmarks/imports etc. - fix torch benchmarks in SharkBenchmarkRunner - generate SD artifacts using build_tools/stable_diffusion_testing.py and --import_mlir - decouple SD gen from tank/generate_sharktank for now
52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
import argparse
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from PIL import Image
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import numpy as np
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import requests
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import shutil
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import os
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import subprocess
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parser = argparse.ArgumentParser()
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parser.add_argument("-n", "--newfile")
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parser.add_argument(
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"-g",
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"--golden_url",
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default="https://storage.googleapis.com/shark_tank/testdata/cyberpunk_fores_42_0_230119_021148.png",
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)
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def get_image(url, local_filename):
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res = requests.get(url, stream=True)
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if res.status_code == 200:
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with open(local_filename, "wb") as f:
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shutil.copyfileobj(res.raw, f)
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def compare_images(new_filename, golden_filename, upload=False):
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new = np.array(Image.open(new_filename)) / 255.0
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golden = np.array(Image.open(golden_filename)) / 255.0
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diff = np.abs(new - golden)
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mean = np.mean(diff)
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if mean > 0.1:
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if os.name != "nt" and upload == True:
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subprocess.run(
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[
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"gsutil",
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"cp",
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new_filename,
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"gs://shark_tank/testdata/builder/",
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]
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)
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raise AssertionError("new and golden not close")
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else:
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print("SUCCESS")
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if __name__ == "__main__":
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args = parser.parse_args()
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tempfile_name = os.path.join(os.getcwd(), "golden.png")
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get_image(args.golden_url, tempfile_name)
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compare_images(args.newfile, tempfile_name)
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