From 878deb27b430f96e0420a96d171210b094efe50e Mon Sep 17 00:00:00 2001
From: roudik <rudikgrig@gmail.com>
Date: Thu, 14 Sep 2023 16:25:55 +0400
Subject: [PATCH] Implemented logical_xor

---
 ivy/functional/frontends/torch/tensor.py      | 14 +++++++
 .../test_frontends/test_torch/test_tensor.py  | 40 ++++++++++++++++++-
 2 files changed, 53 insertions(+), 1 deletion(-)

diff --git a/ivy/functional/frontends/torch/tensor.py b/ivy/functional/frontends/torch/tensor.py
index 20c0c5326a8df..40348d2bf6698 100644
--- a/ivy/functional/frontends/torch/tensor.py
+++ b/ivy/functional/frontends/torch/tensor.py
@@ -437,6 +437,20 @@ def logical_not_(self):
     def logical_or(self, other):
         return torch_frontend.logical_or(self, other)
 
+    @with_unsupported_dtypes(
+        {
+            "2.0.1 and below": (
+                "bfloat16",
+                "uint64",
+                "uint32",
+                "uint16",
+            )
+        },
+        "torch",
+    )
+    def logical_xor(self, other):
+        return torch_frontend.logical_xor(self, other)
+
     def bitwise_not(self):
         return torch_frontend.bitwise_not(self)
 
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
index cdd54b5cf2ccd..da5520ddc71fe 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py
@@ -8536,7 +8536,7 @@ def test_torch_tensor_logical_not_(
     init_tree="torch.tensor",
     method_name="logical_or",
     dtype_and_x=helpers.dtype_and_values(
-        available_dtypes=helpers.get_dtypes("valid"),
+        available_dtypes=helpers.get_dtypes("bool", "integer"),
         num_arrays=2,
     ),
 )
@@ -8568,6 +8568,44 @@ def test_torch_tensor_logical_or(
     )
 
 
+# logical_xor
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="logical_xor",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        num_arrays=2,
+    ),
+)
+def test_torch_tensor_logical_xor(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={
+            "other": x[1],
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # long
 @handle_frontend_method(
     class_tree=CLASS_TREE,