feat: torch frontend positive instance method (#26871)

Co-authored-by: Sam Armstrong <88863522+Sam-Armstrong@users.noreply.github.com>

ivy/functional/frontends/torch/tensor.py

@@ -774,6 +774,10 @@ def is_cuda(self):
     def is_meta(self):
         return "meta" in ivy.dev(self.ivy_array)
 
+    @with_unsupported_dtypes({"2.1.0 and below": ("uint16", "bool")}, "torch")
+    def positive(self):
+        return torch_frontend.positive(self)
+
     @with_unsupported_dtypes({"2.1.0 and below": ("bfloat16",)}, "torch")
     def pow(self, exponent):
         return torch_frontend.pow(self, exponent)

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -10370,6 +10370,44 @@ def test_torch_permute(
     )
 
 
+# positive
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="positive",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1e04,
+        max_value=1e04,
+        allow_inf=False,
+    ),
+)
+def test_torch_tensor_positive(
+    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={},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # pow
 @handle_frontend_method(
     class_tree=CLASS_TREE,