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https://github.com/NVIDIA/TensorRT-LLM.git
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035b99e0d0
* Update TensorRT-LLM --------- Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
83 lines
2.7 KiB
Python
83 lines
2.7 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import torch
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class BenchmarkProfiler(object):
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cuda_event_dict: dict
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timer_dict: dict
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aux_info: dict
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started: bool
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is_recording_perf_profile: bool
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def __init__(self):
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self.cuda_event_dict = {}
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self.timer_dict = {}
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self.aux_info = {}
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self.started = False
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self.is_recording_perf_profile = False
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def clean(self):
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self.cuda_event_dict = {}
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self.timer_dict = {}
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self.aux_info = {}
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def start(self):
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self.started = True
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def stop(self):
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self.started = False
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def get_cuda_event(self, name: str):
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if name not in self.cuda_event_dict.keys():
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event = torch.cuda.Event(enable_timing=True)
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self.cuda_event_dict[name] = event
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return self.cuda_event_dict[name]
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def record_cuda_event(self, name: str):
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if not self.started:
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return
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event = self.get_cuda_event(name)
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event.record()
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def get_timer_value(self, timer_name: str):
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# timer is in milliseconds
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return self.timer_dict[timer_name]
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def record_elapsed_time(self, start_event_name: str, end_event_name: str,
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timer_name: str):
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if timer_name not in self.timer_dict.keys():
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self.timer_dict[timer_name] = 0.0
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if not self.started:
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return
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self.get_cuda_event(start_event_name).synchronize()
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self.get_cuda_event(end_event_name).synchronize()
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self.timer_dict[timer_name] += self.get_cuda_event(
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start_event_name).elapsed_time(self.get_cuda_event(end_event_name))
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def get_aux_info(self, aux_name):
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return self.aux_info[aux_name]
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def add_aux_info(self, aux_name: str, add_value):
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if aux_name not in self.aux_info.keys():
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self.aux_info[aux_name] = 0
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if not self.started:
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return
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self.aux_info[aux_name] += add_value
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def set_recording_perf_profile(self, value: bool):
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self.is_recording_perf_profile = value
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