| import os |
| import textwrap |
| from traceback import extract_stack, format_exc, format_list, FrameSummary |
| from typing import cast, List |
| |
| from . import config |
| |
| from .utils import counters, format_bytecode |
| |
| |
| class TorchDynamoException(RuntimeError): |
| pass |
| |
| |
| class InternalTorchDynamoError(TorchDynamoException): |
| pass |
| |
| |
| class RestartAnalysis(TorchDynamoException): |
| pass |
| |
| |
| class SkipFrame(TorchDynamoException): |
| pass |
| |
| |
| class TorchRuntimeError(TorchDynamoException): |
| pass |
| |
| |
| class ResetRequired(TorchDynamoException): |
| def __init__(self): |
| super().__init__( |
| textwrap.dedent( |
| """ |
| Must call `torch._dynamo.reset()` before changing backends. Detected two calls to |
| `torch.compile()` with a different backend compiler arguments. |
| """ |
| ) |
| ) |
| |
| |
| class BackendCompilerFailed(TorchDynamoException): |
| def __init__(self, backend_fn, inner_exception): |
| self.backend_name = getattr(backend_fn, "__name__", "?") |
| self.inner_exception = inner_exception |
| msg = f"{self.backend_name} raised {type(inner_exception).__name__}: {inner_exception}" |
| super().__init__(msg) |
| |
| |
| class Unsupported(TorchDynamoException): |
| def __init__(self, msg): |
| super().__init__(msg) |
| self.real_stack = [] |
| self.msg = msg |
| self.category = None |
| self.add_to_stats() |
| |
| def remove_from_stats(self): |
| counters[self.category][self.msg] -= 1 |
| if counters[self.category][self.msg] <= 0: |
| del counters[self.category][self.msg] |
| |
| def add_to_stats(self, category="unimplemented"): |
| self.category = category |
| counters[category][self.msg] += 1 |
| |
| |
| def unimplemented(msg: str): |
| assert msg != os.environ.get("BREAK", False) |
| raise Unsupported(msg) |
| |
| |
| def warning(msg: str): |
| counters["warnings"][msg] += 1 |
| assert msg != os.environ.get("BREAK", False) |
| |
| |
| # KeyError has special handling for its args |
| # see https://github.com/python/cpython/blob/3.11/Objects/exceptions.c#L2534 for details |
| class KeyErrorMsg: |
| def __init__(self, value): |
| self.value = value |
| |
| def __str__(self): |
| return str(self.value) |
| |
| def __repr__(self) -> str: |
| return self.__str__() |
| |
| |
| def augment_exc_message(exc, msg="\n"): |
| import traceback |
| |
| if ( |
| hasattr(exc, "real_stack") |
| and len(exc.real_stack) > 0 |
| and not (config.verbose and config.suppress_errors) |
| ): |
| msg += f"\nfrom user code:\n {''.join(traceback.format_list(list(reversed(get_real_stack(exc)[0:2]))))}" |
| |
| if config.replay_record_enabled and hasattr(exc, "record_filename"): |
| msg += f"\nLast frame execution written to {exc.record_filename}. To run only this frame while debugging, run\ |
| torch._dynamo.replay('{exc.record_filename}').\n" |
| |
| if not config.verbose: |
| msg += "\nSet torch._dynamo.config.verbose=True for more information\n" |
| |
| if hasattr(exc, "inner_exception") and hasattr( |
| exc.inner_exception, "minifier_path" |
| ): |
| msg += ( |
| f"\nMinifier script written to {exc.inner_exception.minifier_path}. Run " |
| "this script to find the smallest traced graph which reproduces this error.\n" |
| ) |
| |
| if not config.suppress_errors: |
| msg += ( |
| "\n\n" |
| "You can suppress this exception and fall back to eager by setting:\n" |
| " torch._dynamo.config.suppress_errors = True\n" |
| ) |
| |
| old_msg = "" if len(exc.args) == 0 else exc.args[0] |
| |
| if isinstance(exc, KeyError): |
| exc.args = (KeyErrorMsg(old_msg + msg),) + exc.args[1:] |
| else: |
| new_msg = old_msg + msg |
| exc.args = (new_msg,) + exc.args[1:] |
| |
| |
| def get_real_stack(exc) -> List[FrameSummary]: |
| assert hasattr(exc, "real_stack") |
| return cast(List[FrameSummary], exc.real_stack) |
| |
| |
| # filter out all frames after entering dynamo |
| def filter_stack(stack): |
| user_stack = [] |
| for frame in stack: |
| if "convert_frame" in frame.filename: |
| break |
| if "eval_frame" in frame.filename or "torch._dynamo.optimize(" in frame.line: |
| continue |
| user_stack.append(frame) |
| |
| return user_stack |
| |
| |
| def format_error_msg(exc, code, record_filename=None, frame=None): |
| |
| msg = os.linesep * 2 |
| |
| if config.verbose: |
| msg = format_bytecode( |
| "WON'T CONVERT", code.co_name, code.co_filename, code.co_firstlineno, code |
| ) |
| msg += "=" * 10 + " TorchDynamo Stack Trace " + "=" * 10 + "\n" |
| msg += format_exc() |
| if hasattr(exc, "real_stack"): |
| msg += ( |
| "\n" |
| + "=" * 10 |
| + " The above exception occurred while processing the following code " |
| + "=" * 10 |
| + "\n\n" |
| ) |
| stack_above_dynamo = [] |
| if frame is not None: |
| stack_above_dynamo = filter_stack(extract_stack(frame)) |
| |
| msg += "".join( |
| format_list(stack_above_dynamo + list(reversed(get_real_stack(exc)))) |
| ) |
| msg += "\n" |
| msg += "=" * 10 |
| |
| else: |
| msg = f"WON'T CONVERT {code.co_name} {code.co_filename}\ |
| line {code.co_firstlineno} \ndue to: \n{format_exc(limit=-1)}" |
| |
| return msg |