wehub-resource-sync
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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from paddlenlp.utils.log import logger
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class BenchmarkBase(object):
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def __init__(self):
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self.num_batch = 0
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@staticmethod
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def add_args(args, parser):
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parser = parser.add_argument_group()
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def create_data_loader(self, args, **kwargs):
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raise NotImplementedError
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def build_model(self, args, **kwargs):
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raise NotImplementedError
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def generate_inputs_for_model(self, args, **kwargs):
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raise NotImplementedError
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def create_input_specs(self):
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return None
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def forward(self, model, args, input_data=None, **kwargs):
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raise NotImplementedError
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def logger(
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self,
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args,
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step_id=None,
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pass_id=None,
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batch_id=None,
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loss=None,
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batch_cost=None,
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reader_cost=None,
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num_samples=None,
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ips=None,
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**kwargs
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):
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logger.info(
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"global step %d / %d, loss: %f, avg_reader_cost: %.5f sec, avg_batch_cost: %.5f sec, avg_samples: %.5f, ips: %.5f sequences/sec"
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% (step_id, args.epoch * self.num_batch, loss, reader_cost, batch_cost, num_samples, ips)
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)
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