Update

diff --git a/tensorstack.py b/tensorstack.py
new file mode 100755 (executable)
index 0000000..3218be1
--- /dev/null
+++ b/tensorstack.py
@@ -0,0 +1,62 @@
+#!/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 to show all the local variables in
+    case of RuntimeError or ValueError, and prints tensors as shape,
+    dtype and device.
+
+    """
+
+    repr_orig = Tensor.__repr__
+    Tensor.__repr__ = lambda x: f"{x.size()}:{x.dtype}:{x.device}"
+
+    while tb:
+        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])
+
+        if exc_type in {RuntimeError, ValueError}:
+            for n, v in tb.tb_frame.f_locals.items():
+                print(f"  {n} -> {v}")
+
+        print()
+        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)