# Copyright (c) MONAI Consortium # 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. """ Wrapper around NVIDIA Tools Extension for profiling MONAI transformations """ from __future__ import annotations from monai.transforms.traits import RandomizableTrait from monai.transforms.transform import Transform from monai.utils import optional_import _nvtx, _ = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure you have a CUDA build?") __all__ = [ "Mark", "Markd", "MarkD", "MarkDict", "RandMark", "RandMarkd", "RandMarkD", "RandMarkDict", "RandRangePop", "RandRangePopd", "RandRangePopD", "RandRangePopDict", "RandRangePush", "RandRangePushd", "RandRangePushD", "RandRangePushDict", "RangePop", "RangePopd", "RangePopD", "RangePopDict", "RangePush", "RangePushd", "RangePushD", "RangePushDict", ] class RangePush(Transform): """ Pushes a range onto a stack of nested range span. Stores zero-based depth of the range that is started. Args: msg: ASCII message to associate with range """ def __init__(self, msg: str) -> None: self.msg = msg self.depth = None def __call__(self, data): self.depth = _nvtx.rangePushA(self.msg) return data class RandRangePush(RangePush, RandomizableTrait): """ Pushes a range onto a stack of nested range span (for randomizable transforms). Stores zero-based depth of the range that is started. Args: msg: ASCII message to associate with range """ class RangePop(Transform): """ Pops a range off of a stack of nested range spans. Stores zero-based depth of the range that is ended. """ def __call__(self, data): _nvtx.rangePop() return data class RandRangePop(RangePop, RandomizableTrait): """ Pops a range off of a stack of nested range spans (for randomizable transforms). Stores zero-based depth of the range that is ended. """ class Mark(Transform): """ Mark an instantaneous event that occurred at some point. Args: msg: ASCII message to associate with the event. """ def __init__(self, msg: str) -> None: self.msg = msg def __call__(self, data): _nvtx.markA(self.msg) return data class RandMark(Mark, RandomizableTrait): """ Mark an instantaneous event that occurred at some point (for randomizable transforms). Args: msg: ASCII message to associate with the event. """ RangePushDict = RangePushD = RangePushd = RangePush RandRangePushDict = RandRangePushD = RandRangePushd = RandRangePush RangePopDict = RangePopD = RangePopd = RangePop RandRangePopDict = RandRangePopD = RandRangePopd = RandRangePop MarkDict = MarkD = Markd = Mark RandMarkDict = RandMarkD = RandMarkd = RandMark