Add a fix to broadcast_in_dim nvFuser's executor definition to get …

…an inline shape for constants (#1336)

thunder/executors/nvfuserex_impl.py

@@ -1135,7 +1135,10 @@ def broadcast_in_dim(
     a: TensorProxy, shape: list[int], broadcast_dimensions: list[int], *, fd: FusionDefinition, lc_to_nv_map: dict
 ) -> Any:
     nva = getnv(a, fd, lc_to_nv_map)
-    nv_shape = getnv(shape, fd, lc_to_nv_map)
+    if any(map(lambda x: isinstance(x, NumberProxy), shape)):
+        nv_shape = getnv(shape, fd, lc_to_nv_map)
+    else:
+        nv_shape = shape
 
     return fd.ops.broadcast_in_dim(nva, nv_shape, broadcast_dimensions)