Revert " feat : added nansum function for Pytorch frontend (ivy-llc#2…

…3206)"

This reverts commit d2489d5.

ivy/functional/frontends/torch/reduction_ops.py

@@ -190,11 +190,6 @@ def moveaxis(input, source, destination):
 def nanmean(input, dim=None, keepdim=False, *, dtype=None, out=None):
     return ivy.nanmean(input, axis=dim, keepdims=keepdim, dtype=dtype, out=out)
 
-@numpy_to_torch_style_args
-@to_ivy_arrays_and_back
-def nansum(input, dim=None, keepdim=False, dtype=None, out=None):
-    return ivy.nansum(input, axis=dim, keepdims=keepdim, dtype=dtype, out=out)
-
 
 @to_ivy_arrays_and_back
 @with_supported_dtypes(

ivy_tests/test_ivy/test_frontends/test_torch/test_reduction_ops.py

@@ -671,39 +671,6 @@ def test_torch_nanmean(
         keepdim=keepdims,
     )
 
-@handle_frontend_test(
-    fn_tree="torch.nansum",
-    dtype_and_x=_statistical_dtype_values(
-        function="nansum",
-        min_value=-1e04,
-        max_value=1e04,
-    ),
-    keepdims=st.booleans(),
-)
-def test_torch_nansum(
-    *,
-    dtype_and_x,
-    keepdims,
-    on_device,
-    fn_tree,
-    frontend,
-    test_flags,
-    backend_fw,
-):
-    input_dtype, x, axis = dtype_and_x
-    helpers.test_frontend_function(
-        input_dtypes=input_dtype,
-        backend_to_test=backend_fw,
-        frontend=frontend,
-        test_flags=test_flags,
-        fn_tree=fn_tree,
-        on_device=on_device,
-        input=x[0],
-        dim=axis,
-        keepdim=keepdims,
-        rtol=1e-02,
-        atol=1e-02,
-    )
 
 @handle_frontend_test(
     fn_tree="torch.nansum",