Update.

[pytorch.git] / tensorstack.py

diff --git a/tensorstack.py b/tensorstack.py
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+++ b/tensorstack.py
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+#!/usr/bin/env python
+
+# Any copyright is dedicated to the Public Domain.
+# https://creativecommons.org/publicdomain/zero/1.0/
+
+# Written by Francois Fleuret <francois@fleuret.org>
+
+from torch import Tensor
+
+import sys
+
+def exception_hook(exc_type, exc_value, tb):
+    r'''Hacks the call stack message in case of RuntimeError to show all
+    the local variables, and indicate for every tensor its shape,
+    dtype and device.
+
+    '''
+
+    repr_orig=Tensor.__repr__
+    Tensor.__repr__=lambda x: f'{x.size()}:{x.dtype}:{x.device}'
+
+    while tb:
+        print('--------------------------------------------------')
+        filename = tb.tb_frame.f_code.co_filename
+        name = tb.tb_frame.f_code.co_name
+        line_no = tb.tb_lineno
+        print(f'  File "{filename}", line {line_no}, in {name}')
+        print(open(filename, 'r').readlines()[line_no-1], end='')
+
+        if exc_type is RuntimeError:
+            for n,v in tb.tb_frame.f_locals.items():
+                print(f'  {n} -> {v}')
+
+        tb = tb.tb_next
+
+    Tensor.__repr__=repr_orig
+
+    print(f'{exc_type.__name__}: {exc_value}')
+
+sys.excepthook = exception_hook
+
+######################################################################
+
+if __name__ == '__main__':
+
+    import torch
+
+    def dummy(a,b):
+        print(a@b)
+
+    def blah(a,b):
+        c=b+b
+        dummy(a,c)
+
+    mmm=torch.randn(2,3)
+    xxx=torch.randn(3)
+    #print(xxx@mmm)
+    blah(mmm,xxx)
+    blah(xxx,mmm)