Update.

[pytorch.git] / tensorstack.py

diff --git a/tensorstack.py b/tensorstack.py
index c9a6c2f..42a051e 100755 (executable)
--- a/tensorstack.py
+++ b/tensorstack.py
@@ -9,52 +9,53 @@ from torch import Tensor
 
 import sys
 
+
 def exception_hook(exc_type, exc_value, tb):
-    r'''Hacks the call stack message to show all the local variables in
-    case of RuntimeError or ValueError, and prints tensors as shape,
-    dtype and device.
+    r"""Hacks the call stack message to show all the local variables
+    in case of RuntimeError, ValueError, or TypeError and prints
+    tensors as shape, dtype and device.
 
-    '''
+    """
 
-    repr_orig=Tensor.__repr__
-    Tensor.__repr__=lambda x: f'{x.size()}:{x.dtype}:{x.device}'
+    repr_orig = Tensor.__repr__
+    Tensor.__repr__ = lambda x: f"{x.size()}:{x.dtype}:{x.device}"
 
     while tb:
-        print('--------------------------------------------------\n')
+        print("--------------------------------------------------\n")
         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])
+        print(open(filename, "r").readlines()[line_no - 1])
 
-        if exc_type in { RuntimeError, ValueError }:
-            for n,v in tb.tb_frame.f_locals.items():
-                print(f'  {n} -> {v}')
+        if exc_type in {RuntimeError, ValueError, TypeError}:
+            for n, v in tb.tb_frame.f_locals.items():
+                print(f"  {n} -> {v}")
 
         print()
         tb = tb.tb_next
 
-    Tensor.__repr__=repr_orig
+    Tensor.__repr__ = repr_orig
+
+    print(f"{exc_type.__name__}: {exc_value}")
 
-    print(f'{exc_type.__name__}: {exc_value}')
 
 sys.excepthook = exception_hook
 
 ######################################################################
 
-if __name__ == '__main__':
-
+if __name__ == "__main__":
     import torch
 
-    def dummy(a,b):
-        print(a@b)
+    def dummy(a, b):
+        print(a @ b)
 
-    def blah(a,b):
-        c=b+b
-        dummy(a,c)
+    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)
+    mmm = torch.randn(2, 3)
+    xxx = torch.randn(3)
+    # print(xxx@mmm)
+    blah(mmm, xxx)
+    blah(xxx, mmm)