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50 lines
1.8 KiB
50 lines
1.8 KiB
# Copyright 2021 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""estimate parallel case"""
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import json
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import json.decoder as jd
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import traceback
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from mindspore import log as logger
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from . import model
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def estimate_ops(json_str: str):
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"""Call costmodel to estimate ops."""
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try:
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json_obj = json.loads(json_str)
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graph_descs = json_obj["graph_desc"]
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graphs = []
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for gd in graph_descs:
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graphs.append(model.load_composite(gd).graph)
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estimation = model.parallel_estimate(graphs)
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if estimation.fusion_type == "block_fusion" and estimation.gain > 0:
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res = (estimation.block_assign, estimation.gain)
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else:
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res = ([0 for g in graphs], 0)
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return res
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except jd.JSONDecodeError:
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logger.error(traceback.format_exc())
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return None
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def estimate_calulation_amount(json_str: str):
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"""Call costmodel to estimate calculation amount of op."""
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try:
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graph_desc = json.loads(json_str)
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comp = model.load_composite(graph_desc)
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estimation = model.parallel_estimate([comp.graph])
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return estimation.bottleneck
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except jd.JSONDecodeError:
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logger.error(traceback.format_exc())
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return None
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