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Running
on
Zero
| import inspect | |
| import torch | |
| from detectron2.utils.env import TORCH_VERSION | |
| try: | |
| from torch.fx._symbolic_trace import is_fx_tracing as is_fx_tracing_current | |
| tracing_current_exists = True | |
| except ImportError: | |
| tracing_current_exists = False | |
| try: | |
| from torch.fx._symbolic_trace import _orig_module_call | |
| tracing_legacy_exists = True | |
| except ImportError: | |
| tracing_legacy_exists = False | |
| def is_fx_tracing_legacy() -> bool: | |
| """ | |
| Returns a bool indicating whether torch.fx is currently symbolically tracing a module. | |
| Can be useful for gating module logic that is incompatible with symbolic tracing. | |
| """ | |
| return torch.nn.Module.__call__ is not _orig_module_call | |
| def is_fx_tracing() -> bool: | |
| """Returns whether execution is currently in | |
| Torch FX tracing mode""" | |
| if torch.jit.is_scripting(): | |
| return False | |
| if TORCH_VERSION >= (1, 10) and tracing_current_exists: | |
| return is_fx_tracing_current() | |
| elif tracing_legacy_exists: | |
| return is_fx_tracing_legacy() | |
| else: | |
| # Can't find either current or legacy tracing indication code. | |
| # Enabling this assert_fx_safe() call regardless of tracing status. | |
| return False | |
| def assert_fx_safe(condition: bool, message: str) -> torch.Tensor: | |
| """An FX-tracing safe version of assert. | |
| Avoids erroneous type assertion triggering when types are masked inside | |
| an fx.proxy.Proxy object during tracing. | |
| Args: condition - either a boolean expression or a string representing | |
| the condition to test. If this assert triggers an exception when tracing | |
| due to dynamic control flow, try encasing the expression in quotation | |
| marks and supplying it as a string.""" | |
| # Must return a concrete tensor for compatibility with PyTorch <=1.8. | |
| # If <=1.8 compatibility is not needed, return type can be converted to None | |
| if torch.jit.is_scripting() or is_fx_tracing(): | |
| return torch.zeros(1) | |
| return _do_assert_fx_safe(condition, message) | |
| def _do_assert_fx_safe(condition: bool, message: str) -> torch.Tensor: | |
| try: | |
| if isinstance(condition, str): | |
| caller_frame = inspect.currentframe().f_back | |
| torch._assert(eval(condition, caller_frame.f_globals, caller_frame.f_locals), message) | |
| return torch.ones(1) | |
| else: | |
| torch._assert(condition, message) | |
| return torch.ones(1) | |
| except torch.fx.proxy.TraceError as e: | |
| print( | |
| "Found a non-FX compatible assertion. Skipping the check. Failure is shown below" | |
| + str(e) | |
| ) | |