See also #8410

Example:

import torch
@torch.jit.script
def unsqueezel(x):
    return x.unsqueeze(dim=-1)
x = torch.randn((2, 2), requires_grad=True)
unsqueezel(x)

output:

Traceback (most recent call last):
  File "dim.py", line 6, in <module>
    unsqueezel(x)
RuntimeError: torch/csrc/jit/autodiff.cpp:199: createZerosLike: can't allocate zero gradient for a value without a type

Operator level tests that fail with this:

• test_add
• test_add_broadcast_all
• test_add_broadcast_lhs
• test_add_broadcast_rhs
• test_add_scalar
• test_add_scalar_broadcast_lhs
• test_add_scalar_broadcast_rhs
• test_sub
• test_sub_broadcast_all
• test_sub_broadcast_lhs
• test_sub_broadcast_rhs
• test_sub_scalar_broadcast_lhs
• test_sub_scalar_broadcast_rhs