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mmcls.models.utils.helpers 源代码

# Copyright (c) OpenMMLab. All rights reserved.
import collections.abc
import warnings
from itertools import repeat

import torch
from mmengine.utils import digit_version


[文档]def is_tracing() -> bool: """Determine whether the model is called during the tracing of code with ``torch.jit.trace``.""" if digit_version(torch.__version__) >= digit_version('1.6.0'): on_trace = torch.jit.is_tracing() # In PyTorch 1.6, torch.jit.is_tracing has a bug. # Refers to https://github.com/pytorch/pytorch/issues/42448 if isinstance(on_trace, bool): return on_trace else: return torch._C._is_tracing() else: warnings.warn( 'torch.jit.is_tracing is only supported after v1.6.0. ' 'Therefore is_tracing returns False automatically. Please ' 'set on_trace manually if you are using trace.', UserWarning) return False
# From PyTorch internals def _ntuple(n): """A `to_tuple` function generator. It returns a function, this function will repeat the input to a tuple of length ``n`` if the input is not an Iterable object, otherwise, return the input directly. Args: n (int): The number of the target length. """ def parse(x): if isinstance(x, collections.abc.Iterable): return x return tuple(repeat(x, n)) return parse to_1tuple = _ntuple(1) to_2tuple = _ntuple(2) to_3tuple = _ntuple(3) to_4tuple = _ntuple(4) to_ntuple = _ntuple
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