tensorstack.py

   1 #!/usr/bin/env python
   2
   3 # Any copyright is dedicated to the Public Domain.
   4 # https://creativecommons.org/publicdomain/zero/1.0/
   5
   6 # Written by Francois Fleuret <francois@fleuret.org>
   7
   8 from torch import Tensor
   9
  10 import sys
  11
  12
  13 def exception_hook(exc_type, exc_value, tb):
  14     r"""Hacks the call stack message to show all the local variables
  15     in case of RuntimeError, ValueError, or TypeError and prints
  16     tensors as shape, dtype and device.
  17
  18     """
  19
  20     repr_orig = Tensor.__repr__
  21     Tensor.__repr__ = lambda x: f"{x.size()}:{x.dtype}:{x.device}"
  22
  23     while tb:
  24         print("--------------------------------------------------\n")
  25         filename = tb.tb_frame.f_code.co_filename
  26         name = tb.tb_frame.f_code.co_name
  27         line_no = tb.tb_lineno
  28         print(f'  File "{filename}", line {line_no}, in {name}')
  29         print(open(filename, "r").readlines()[line_no - 1])
  30
  31         if exc_type in {RuntimeError, ValueError, TypeError}:
  32             for n, v in tb.tb_frame.f_locals.items():
  33                 print(f"  {n} -> {v}")
  34
  35         print()
  36         tb = tb.tb_next
  37
  38     Tensor.__repr__ = repr_orig
  39
  40     print(f"{exc_type.__name__}: {exc_value}")
  41
  42
  43 sys.excepthook = exception_hook
  44
  45 ######################################################################
  46
  47 if __name__ == "__main__":
  48     import torch
  49
  50     def dummy(a, b):
  51         print(a @ b)
  52
  53     def blah(a, b):
  54         c = b + b
  55         dummy(a, c)
  56
  57     mmm = torch.randn(2, 3)
  58     xxx = torch.randn(3)
  59     # print(xxx@mmm)
  60     blah(mmm, xxx)
  61     blah(xxx, mmm)