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 7617ee64bee35..46ef776296160 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 @@ -10370,44 +10370,6 @@ 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, @@ -12744,6 +12706,44 @@ def test_torch_tanh_( ) +# 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, + ) + + # tensor_split @handle_frontend_method( class_tree=CLASS_TREE,