46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
#!/usr/bin/env python
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# coding=utf-8
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# Copyright 2024 The HuggingFace Inc. team. 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 .utils import console
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class Monitor:
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def __init__(self, tracked_llm_engine):
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self.step_durations = []
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self.tracked_llm_engine = tracked_llm_engine
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if (
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getattr(self.tracked_llm_engine, "last_input_token_count", "Not found")
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!= "Not found"
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):
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self.total_input_token_count = 0
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self.total_output_token_count = 0
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def update_metrics(self, step_log):
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step_duration = step_log.step_duration
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self.step_durations.append(step_duration)
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console.print(f"Step {len(self.step_durations)}:")
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console.print(f"- Time taken: {step_duration:.2f} seconds")
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if getattr(self.tracked_llm_engine, "last_input_token_count", None) is not None:
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self.total_input_token_count += (
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self.tracked_llm_engine.last_input_token_count
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)
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self.total_output_token_count += (
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self.tracked_llm_engine.last_output_token_count
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)
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console.print(f"- Input tokens: {self.total_input_token_count:,}")
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console.print(f"- Output tokens: {self.total_output_token_count:,}")
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