Haider Sultan ⚡

``` @handle_frontend_method( class_tree=CLASS_TREE, init_tree="paddle.to_tensor", method_name="fmax", dtypes_and_x=helpers.dtype_and_values( available_dtypes=helpers.get_dtypes("float"), num_arrays=2, shared_dtype=True ), ) def test_paddle_fmax( dtypes_and_x, frontend_method_data, init_flags, method_flags, frontend, on_device, ): input_dtype, x = dtypes_and_x helpers.test_frontend_method( init_input_dtypes=input_dtype, init_all_as_kwargs_np={"data": x[0]}, method_input_dtypes=input_dtype, method_all_as_kwargs_np={"y":...

> Hey @Arwa45, can you merge your branch with ivy master. Seems like the tests you added are not picked up by the CI. Thanks 🙂 Hi @bipinKrishnan , How...

``` # std @handle_frontend_method( class_tree=CLASS_TREE, init_tree="paddle.to_tensor", method_name="std", dtypes_and_x=helpers.dtype_and_values( available_dtypes=st.one_of(helpers.get_dtypes("float")), min_axis=-1, max_axis=0, ), keep_dims=st.booleans(), unbiased=st.booleans(), ) def test_paddle_std( dtype_x_axis, keep_dims, frontend_method_data, init_flags, method_flags, frontend, on_device, ): input_dtypes, x, axis = dtype_x_axis...

@satakshigarg It shows me that the test is passing. I have pre-commit and I checked that all formats passed before pushing. And the imports were not changed, one of my...

@satakshigarg this is what my test runs show: 

Hi @Satarupa22-SD, this issue is internal and is not accepting contributions from outside the organization. You can check out other issues for starting!😄