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https://github.com/saymrwulf/onnxruntime.git
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fdce4fa6af
Description: Format all python files under onnxruntime with black and isort. After checking in, we can use .git-blame-ignore-revs to ignore the formatting PR in git blame. #11315, #11316
52 lines
1.4 KiB
Python
Executable file
52 lines
1.4 KiB
Python
Executable file
import sys
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import json
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import collections
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actual = sys.argv[1]
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expect = sys.argv[2]
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with open(actual) as file_actual:
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json_actual = json.loads(file_actual.read())
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with open(expect) as file_expect:
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json_expect = json.loads(file_expect.read())
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def almost_equal(x, y, threshold=0.05):
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return abs(x - y) < threshold
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# loss curve tail match
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loss_tail_length = 4
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loss_tail_matches = collections.deque(maxlen=loss_tail_length)
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logged_steps = len(json_actual["steps"])
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for i in range(logged_steps):
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step_actual = json_actual["steps"][i]
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step_expect = json_expect["steps"][i]
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is_match = step_actual["step"] == step_expect["step"]
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is_match = is_match if almost_equal(step_actual["loss"], step_expect["loss"]) else False
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loss_tail_matches.append(is_match)
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print(
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"step {} loss actual {:.6f} expected {:.6f} match {}".format(
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step_actual["step"],
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step_actual["loss"],
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step_expect["loss"],
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is_match if logged_steps - i <= loss_tail_length else "n/a",
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)
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)
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success = all(loss_tail_matches)
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# performance match
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threshold = 0.95
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is_performant = json_actual["samples_per_second"] >= threshold * json_expect["samples_per_second"]
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success = success if is_performant else False
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print(
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"samples_per_second actual {:.3f} expected {:.3f} in-range {}".format(
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json_actual["samples_per_second"], json_expect["samples_per_second"], is_performant
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)
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)
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assert success
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