ai-content-maker/.venv/Lib/site-packages/torch/_inductor/exc.py

99 lines
2.6 KiB
Python

from __future__ import annotations
import os
import tempfile
import textwrap
from functools import lru_cache
if os.environ.get("TORCHINDUCTOR_WRITE_MISSING_OPS") == "1":
@lru_cache(None)
def _record_missing_op(target):
with open(f"{tempfile.gettempdir()}/missing_ops.txt", "a") as fd:
fd.write(str(target) + "\n")
else:
def _record_missing_op(target): # type: ignore[misc]
pass
class OperatorIssue(RuntimeError):
@staticmethod
def operator_str(target, args, kwargs):
lines = [f"target: {target}"] + [
f"args[{i}]: {arg}" for i, arg in enumerate(args)
]
if kwargs:
lines.append(f"kwargs: {kwargs}")
return textwrap.indent("\n".join(lines), " ")
class MissingOperatorWithoutDecomp(OperatorIssue):
def __init__(self, target, args, kwargs):
_record_missing_op(target)
super().__init__(f"missing lowering\n{self.operator_str(target, args, kwargs)}")
class MissingOperatorWithDecomp(OperatorIssue):
def __init__(self, target, args, kwargs):
_record_missing_op(target)
super().__init__(
f"missing decomposition\n{self.operator_str(target, args, kwargs)}"
+ textwrap.dedent(
f"""
There is a decomposition available for {target} in
torch._decomp.get_decompositions(). Please add this operator to the
`decompositions` list in torch._inductor.decompositions
"""
)
)
class LoweringException(OperatorIssue):
def __init__(self, exc: Exception, target, args, kwargs):
super().__init__(
f"{type(exc).__name__}: {exc}\n{self.operator_str(target, args, kwargs)}"
)
class InvalidCxxCompiler(RuntimeError):
def __init__(self):
from . import config
super().__init__(
f"No working C++ compiler found in {config.__name__}.cpp.cxx: {config.cpp.cxx}"
)
class CppWrapperCodeGenError(RuntimeError):
def __init__(self, msg: str):
super().__init__(f"C++ wrapper codegen error: {msg}")
class CppCompileError(RuntimeError):
def __init__(self, cmd: list[str], output: str):
if isinstance(output, bytes):
output = output.decode("utf-8")
super().__init__(
textwrap.dedent(
"""
C++ compile error
Command:
{cmd}
Output:
{output}
"""
)
.strip()
.format(cmd=" ".join(cmd), output=output)
)
class CUDACompileError(CppCompileError):
pass