Fix specialize + reshape use case

[yf225]

Error (raised by @v0i0 in https://github.com/pytorch/helion/pull/1119/files#r2535755413):

$ HELION_AUTOTUNE_EFFORT=none python examples/gdn_fwd_h.py
Testing helion correctness...
Traceback (most recent call last):
  File "/home/willfeng/local/helion/helion/_compiler/type_propagation.py", line 669, in propagate_call
    _CheckForIndexCalls.retry_call(fn, proxy_args, proxy_kwargs), origin
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/language/tile_proxy.py", line 137, in retry_call
    return fn(*proxy_args, **proxy_kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/utils/_stats.py", line 29, in wrapper
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_tensor.py", line 1390, in __torch_dispatch__
    return self.dispatch(func, types, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_tensor.py", line 2148, in dispatch
    return self._cached_dispatch_impl(func, types, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_tensor.py", line 1537, in _cached_dispatch_impl
    output = self._dispatch_impl(func, types, args, kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_tensor.py", line 2786, in _dispatch_impl
    op_impl_out = op_impl(self, func, *args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_impls.py", line 180, in dispatch_to_op_implementations_dict
    return op_implementations_dict[func](fake_mode, func, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_subclasses/fake_impls.py", line 629, in _view_meta
    return torch._refs._reshape_view_helper(a, *shape, allow_copy=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_refs/__init__.py", line 3913, in _reshape_view_helper
    shape = utils.infer_size(shape, a.numel())
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_prims_common/__init__.py", line 1064, in infer_size
    torch._check(
  File "/home/willfeng/local/pytorch-nightly/torch/__init__.py", line 1706, in _check
    _check_with(RuntimeError, cond, message)  # pyrefly: ignore [bad-argument-type]
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/__init__.py", line 1688, in _check_with
    raise error_type(message_evaluated)
RuntimeError: shape '[8, 1, 8192, 80, 64]' is invalid for input of size 167772160