add torch frontend tanh and tanh_ instance methods (#6757)

Co-authored-by: ahmedo42 <[email protected]>

ivy/functional/frontends/torch/tensor.py

@@ -75,6 +75,13 @@ def asinh_(self):
 
     def tan(self, *, out=None):
         return torch_frontend.tan(self.data, out=out)
+
+    def tanh(self, *, out=None):
+        return torch_frontend.tanh(self.data, out=out)
+
+    def tanh_(self):
+        self.data = self.tanh()
+        return self.data
 
     def log(self):
         return ivy.log(self.data)

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -663,6 +663,72 @@ def test_torch_instance_tan(
     )
 
 
+# tanh
+@handle_cmd_line_args
+@given(
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        allow_inf=False,
+    ),
+)
+def test_torch_instance_tanh(
+    dtype_and_x,
+    as_variable,
+    native_array,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        input_dtypes_init=["float64"] + input_dtype,
+        as_variable_flags_init=as_variable,
+        num_positional_args_init=1,
+        native_array_flags_init=native_array,
+        all_as_kwargs_np_init={
+            "data": x[0],
+        },
+        input_dtypes_method=["float64"] + input_dtype,
+        as_variable_flags_method=as_variable,
+        num_positional_args_method=0,
+        native_array_flags_method=native_array,
+        all_as_kwargs_np_method={},
+        frontend="torch",
+        class_name="tensor",
+        method_name="tanh",
+    )
+
+
+# tanh_
+@handle_cmd_line_args
+@given(
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        allow_inf=False,
+    ),
+)
+def test_torch_instance_tanh_(
+    dtype_and_x,
+    as_variable,
+    native_array,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        input_dtypes_init=["float64"] + input_dtype,
+        as_variable_flags_init=as_variable,
+        num_positional_args_init=1,
+        native_array_flags_init=native_array,
+        all_as_kwargs_np_init={
+            "data": x[0],
+        },
+        input_dtypes_method=["float64"] + input_dtype,
+        as_variable_flags_method=as_variable,
+        num_positional_args_method=0,
+        native_array_flags_method=native_array,
+        all_as_kwargs_np_method={},
+        frontend="torch",
+        class_name="tensor",
+        method_name="tanh_",
+    )
+
+
 # asin
 @handle_cmd_line_args
 @given(