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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

64 lines
1.8 KiB
Python

# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# 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.
import functools
from typing import Optional
import torch
from nemo.utils.app_state import AppState
# pylint: disable=C0116
@functools.lru_cache(maxsize=None)
def _nvtx_enabled() -> bool:
"""Check if NVTX range profiling is enabled"""
return AppState()._nvtx_ranges
# Messages associated with active NVTX ranges
_nvtx_range_messages: list[str] = []
def nvtx_range_push(msg: str) -> None:
# Return immediately if NVTX range profiling is not enabled
if not _nvtx_enabled():
return
# Push NVTX range to stack
_nvtx_range_messages.append(msg)
torch.cuda.nvtx.range_push(msg)
def nvtx_range_pop(msg: Optional[str] = None) -> None:
# Return immediately if NVTX range profiling is not enabled
if not _nvtx_enabled():
return
# Update list of NVTX range messages and check for consistency
if not _nvtx_range_messages:
raise RuntimeError("Attempted to pop NVTX range from empty stack")
last_msg = _nvtx_range_messages.pop()
if msg is not None and msg != last_msg:
raise ValueError(
f"Attempted to pop NVTX range from stack with msg={msg}, " f"but last range has msg={last_msg}"
)
# Pop NVTX range
torch.cuda.nvtx.range_pop()
# pylint: enable=C0116