Update.
[pytorch.git] / stack.py
index 27de204..546b17b 100755 (executable)
--- a/stack.py
+++ b/stack.py
@@ -5,35 +5,31 @@
 
 # Written by Francois Fleuret <francois@fleuret.org>
 
-from torch import is_tensor
+from torch import is_tensor, Tensor
 
 import sys
 
 def exception_hook(exc_type, exc_value, tb):
 
-    tb = tb.tb_next
+    repr_orig=Tensor.__repr__
+    Tensor.__repr__=lambda x: f'{x.size()}:{x.dtype}:{x.device}'
 
     while tb:
-        #x=tb.tb_frame.f_code
-        # for field in dir(x):
-            # print(f'@@@ {field} {getattr(x, field)}')
-
+        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='')
 
-        local_vars = tb.tb_frame.f_locals
-
-        for n,v in local_vars.items():
-            if is_tensor(v):
-                print(f'  {n} -> {v.size()}:{v.dtype}:{v.device}')
-            else:
+        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
@@ -51,8 +47,8 @@ if __name__ == '__main__':
         c=b+b
         dummy(a,c)
 
-    m=torch.randn(2,3)
-    x=torch.randn(3)
-    blah(m,x)
-    blah(x,m)
-
+    mmm=torch.randn(2,3)
+    xxx=torch.randn(3)
+    #print(xxx@mmm)
+    blah(mmm,xxx)
+    blah(xxx,mmm)