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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """estimate parallel case"""
- import json
- import json.decoder as jd
- import traceback
- from mindspore import log as logger
- from . import model
-
-
- def estimate_ops(json_str: str):
- """Call cost model to estimate ops."""
- try:
- json_obj = json.loads(json_str)
- graph_descs = json_obj["graph_desc"]
- graphs = []
- for gd in graph_descs:
- graphs.append(model.load_composite(gd).graph)
- estimation = model.parallel_estimate(graphs)
- res = (estimation.block_assign, estimation.gain,
- estimation.fusion_type, estimation.type_info)
- return res
- except jd.JSONDecodeError:
- logger.error(traceback.format_exc())
- return None
-
-
- def estimate_calulation_amount(json_str: str):
- """Call cost model to estimate calculation amount of op."""
- try:
- graph_desc = json.loads(json_str)
- comp = model.load_composite(graph_desc)
- estimation = model.parallel_estimate([comp.graph])
- return estimation.bottleneck
- except jd.JSONDecodeError:
- logger.error(traceback.format_exc())
- return None
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