diff --git a/ivy/functional/frontends/torch/tensor.py b/ivy/functional/frontends/torch/tensor.py index f784dccd8fd95..6900254e1cce3 100644 --- a/ivy/functional/frontends/torch/tensor.py +++ b/ivy/functional/frontends/torch/tensor.py @@ -1833,6 +1833,24 @@ def char(self): def lcm(self, other, *, out=None): return torch_frontend.lcm(self, other, out=out) + @with_unsupported_dtypes( + { + "2.0.1 and below": ( + "float16", + "bfloat16", + "float32", + "float64", + "complex", + "uint8", + "int8", + ) + }, + "torch", + ) + def lcm_(self, other, *, out=None): + self.ivy_array = self.lcm(other, out=out).ivy_array + return self + @with_unsupported_dtypes( { "2.0.1 and below": ( 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 2fc81319b5ef7..a1e39b0bcb59d 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 @@ -7851,6 +7851,51 @@ def test_torch_tensor_lcm( ) +# lcm_ +@handle_frontend_method( + class_tree=CLASS_TREE, + init_tree="torch.tensor", + method_name="lcm_", + dtype_and_x=helpers.dtype_and_values( + available_dtypes=helpers.get_dtypes("integer"), + num_arrays=2, + min_value=-100, + max_value=100, + min_num_dims=1, + max_num_dims=3, + min_dim_size=1, + max_dim_size=3, + shared_dtype=True, + ), +) +def test_torch_tensor_lcm_( + dtype_and_x, + frontend, + frontend_method_data, + init_flags, + method_flags, + 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=frontend, + frontend_method_data=frontend_method_data, + init_flags=init_flags, + method_flags=method_flags, + on_device=on_device, + ) + + # less @handle_frontend_method( class_tree=CLASS_TREE,