mirror of
https://github.com/zebrajr/pytorch.git
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737d920b21
Summary: This PR greatly simplifies `mypy-strict.ini` by strictly typing everything in `.github` and `tools`, rather than picking and choosing only specific files in those two dirs. It also removes `warn_unused_ignores` from `mypy-strict.ini`, for reasons described in https://github.com/pytorch/pytorch/pull/56402#issuecomment-822743795: basically, that setting makes life more difficult depending on what libraries you have installed locally vs in CI (e.g. `ruamel`). Pull Request resolved: https://github.com/pytorch/pytorch/pull/59117 Test Plan: ``` flake8 mypy --config mypy-strict.ini ``` Reviewed By: malfet Differential Revision: D28765386 Pulled By: samestep fbshipit-source-id: 3e744e301c7a464f8a2a2428fcdbad534e231f2e
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
import gdb # type: ignore[import]
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import textwrap
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from typing import Any
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class DisableBreakpoints:
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"""
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Context-manager to temporarily disable all gdb breakpoints, useful if
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there is a risk to hit one during the evaluation of one of our custom
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commands
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"""
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def __enter__(self) -> None:
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self.disabled_breakpoints = []
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for b in gdb.breakpoints():
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if b.enabled:
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b.enabled = False
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self.disabled_breakpoints.append(b)
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def __exit__(self, etype: Any, evalue: Any, tb: Any) -> None:
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for b in self.disabled_breakpoints:
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b.enabled = True
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class TensorRepr(gdb.Command): # type: ignore[misc, no-any-unimported]
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"""
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Print a human readable representation of the given at::Tensor.
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Usage: torch-tensor-repr EXP
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at::Tensor instances do not have a C++ implementation of a repr method: in
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pytoch, this is done by pure-Python code. As such, torch-tensor-repr
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internally creates a Python wrapper for the given tensor and call repr()
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on it.
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"""
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__doc__ = textwrap.dedent(__doc__).strip()
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def __init__(self) -> None:
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gdb.Command.__init__(self, 'torch-tensor-repr',
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gdb.COMMAND_USER, gdb.COMPLETE_EXPRESSION)
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def invoke(self, args: str, from_tty: bool) -> None:
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args = gdb.string_to_argv(args)
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if len(args) != 1:
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print('Usage: torch-tensor-repr EXP')
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return
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name = args[0]
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with DisableBreakpoints():
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res = gdb.parse_and_eval('torch::gdb::tensor_repr(%s)' % name)
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print('Python-level repr of %s:' % name)
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print(res.string())
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# torch::gdb::tensor_repr returns a malloc()ed buffer, let's free it
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gdb.parse_and_eval('(void)free(%s)' % int(res))
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TensorRepr()
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