wehub-resource-sync
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Cost model metrics for meta schedule"""
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import numpy as np # type: ignore
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def max_curve(trial_scores: np.ndarray) -> np.ndarray:
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"""f(n) = max([s[i] fo i < n])
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Parameters
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----------
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trial_scores : List[float]
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the score of i-th trial
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Returns
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-------
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curve : np.ndarray
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A vector, the max-curve function values
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"""
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ret = np.empty(len(trial_scores))
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keep = -1e9
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for i, score in enumerate(trial_scores):
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keep = max(keep, score)
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ret[i] = keep
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return ret
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