diff --git a/ivy/functional/backends/torch/set.py b/ivy/functional/backends/torch/set.py
index 03e0a6077bb7c..a7eee8289918f 100644
--- a/ivy/functional/backends/torch/set.py
+++ b/ivy/functional/backends/torch/set.py
@@ -66,7 +66,7 @@ def unique_all(
             [i[0] for i in sorted(enumerate(values_), key=lambda x: tuple(x[1]))]
         )
     ivy_torch = ivy.current_backend()
-    values = ivy_torch.gather(values, sort_idx, axis=axis)
+    values = values.index_select(dim=axis, index=sort_idx)
     counts = ivy_torch.gather(counts, sort_idx)
     indices = ivy_torch.gather(indices, sort_idx)
     inv_sort_idx = ivy_torch.invert_permutation(sort_idx)
diff --git a/ivy/functional/frontends/torch/tensor.py b/ivy/functional/frontends/torch/tensor.py
index 91c1f5b86db55..faef7db5d4e1c 100644
--- a/ivy/functional/frontends/torch/tensor.py
+++ b/ivy/functional/frontends/torch/tensor.py
@@ -2242,6 +2242,7 @@ def ne_(self, other):
                 "float16",
                 "complex128",
                 "complex64",
+                "bool",
             )
         },
         "torch",