Added logaddexp2 method to the PyTorch frontend (#21804)

Co-authored-by: NripeshN <[email protected]>

ivy/functional/frontends/torch/tensor.py

@@ -1855,6 +1855,11 @@ def backward(self, gradient=None, retain_graph=None, create_graph=False):
     def logaddexp(self, other):
         return torch_frontend.logaddexp(self, other)
 
+    @with_unsupported_dtypes({"2.1.2 and below": ("float16",)}, "torch")
+    def logaddexp2(self, other):
+        self.ivy_array = torch_frontend.logaddexp2(self, other).ivy_array
+        return self
+
     def angle(self):
         return torch_frontend.angle(self)
 

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -12964,6 +12964,48 @@ def test_torch_tensor_erfc_(
     )
 
 
+# logaddexp2
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="logaddexp2",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=2,
+        min_num_dims=1,
+        min_value=-100,
+        max_value=100,
+        shared_dtype=True,
+    ),
+)
+def test_torch_tensor_logaddexp2(
+    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,
+    )
+
+
 # positive
 @handle_frontend_method(
     class_tree=CLASS_TREE,