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feat(paddle): Add backward method to Paddle Frontend #23549

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6 changes: 6 additions & 0 deletions ivy/functional/frontends/paddle/tensor/tensor.py
Original file line number Diff line number Diff line change
Expand Up @@ -758,3 +758,9 @@ def remainder(self, y, name=None):

def is_floating_point(self):
return paddle_frontend.is_floating_point(self._ivy_array)

@with_supported_dtypes(
{"2.5.1 and below": ("float32", "float64", "int32", "int64")}, "paddle"
)
def backward(self, x):
return paddle_frontend.Tensor.backward(self.x)
Original file line number Diff line number Diff line change
Expand Up @@ -283,6 +283,42 @@ def test_paddle__reshape(
)


# backward


@handle_frontend_method(
class_tree=CLASS_TREE,
init_tree="paddle.to_tensor",
method_name="backward",
dtype_and_x=helpers.dtype_and_values(
available_dtypes=helpers.get_dtypes("float"),
),
)
def test_paddle_backward(
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Please rename the test to test_paddle_tensor_backward to be in line with our naming convention.

dtype_and_x,
frontend_method_data,
init_flags,
method_flags,
frontend,
on_device,
backend_fw,
):
input_dtype, x = dtype_and_x
x = Tensor(x)
helpers.test_frontend_method(
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x = Tensor(x) should not be needed here. I believe this is done inside test_frontend_method later on.

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@AnnaTz
I passed the five tests only after I add x = Tensor(x), so I think it’s necessary

init_input_dtypes=input_dtype,
init_all_as_kwargs_np={"x": x},
method_all_as_kwargs_np={"x": x},
method_input_dtypes=input_dtype,
backend_to_test=backend_fw,
frontend_method_data=frontend_method_data,
init_flags=init_flags,
method_flags=method_flags,
frontend=frontend,
on_device=on_device,
)


# atan
@handle_frontend_method(
class_tree=CLASS_TREE,
Expand Down Expand Up @@ -908,6 +944,40 @@ def test_paddle_tensor_astype(
)


# backward
@handle_frontend_method(
class_tree=CLASS_TREE,
init_tree="paddle.to_tensor",
method_name="backward",
dtype_and_x=helpers.dtype_and_values(
available_dtypes=helpers.get_dtypes("float"),
),
)
def test_paddle_tensor_backward(
dtype_and_x,
frontend_method_data,
init_flags,
method_flags,
frontend,
on_device,
backend_fw,
):
input_dtype, x = dtype_and_x
x = Tensor(x)
helpers.test_frontend_method(
init_input_dtypes=input_dtype,
init_all_as_kwargs_np={"x": x},
method_all_as_kwargs_np={"x": x},
method_input_dtypes=input_dtype,
backend_to_test=backend_fw,
frontend_method_data=frontend_method_data,
init_flags=init_flags,
method_flags=method_flags,
frontend=frontend,
on_device=on_device,
)


# bitwise_and
@handle_frontend_method(
class_tree=CLASS_TREE,
Expand Down
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