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🤖 Lint code
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ivy-branch committed Mar 3, 2024
1 parent e4f47df commit 12514e5
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Showing 2 changed files with 38 additions and 40 deletions.
2 changes: 0 additions & 2 deletions ivy/functional/frontends/paddle/tensor/tensor.py
Original file line number Diff line number Diff line change
Expand Up @@ -1244,7 +1244,6 @@ def expand(self, shape, name=None):
def tile(self, repeat_times):
return paddle_frontend.Tensor(ivy.tile(self._ivy_array, repeats=repeat_times))


@with_supported_dtypes({"2.5.1 and below": ("int32", "int64")}, "paddle")
def lcm(self, y, name=None):
return paddle_frontend.lcm(self._ivy_array, y)
Expand All @@ -1266,4 +1265,3 @@ def lcm(self, y, name=None):
)
def chunk(self, chunks, axis=0, name=None):
return paddle_frontend.split(self._ivy_array, num_or_sections=chunks, axis=axis)

Original file line number Diff line number Diff line change
Expand Up @@ -6014,6 +6014,44 @@ def test_paddle_tensor_heaviside(
)


# lcm
@handle_frontend_method(
class_tree=CLASS_TREE,
init_tree="paddle.to_tensor",
method_name="lcm",
dtypes_and_x=helpers.dtype_and_values(
available_dtypes=helpers.get_dtypes("valid"),
num_arrays=2,
min_num_dims=1,
safety_factor_scale="log",
large_abs_safety_factor=2,
shared_dtype=True,
),
)
def test_paddle_tensor_lcm(
dtypes_and_x,
frontend_method_data,
init_flags,
method_flags,
frontend,
on_device,
backend_fw,
):
input_dtype, x = dtypes_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={"y": x[1]},
frontend_method_data=frontend_method_data,
init_flags=init_flags,
method_flags=method_flags,
frontend=frontend,
on_device=on_device,
)


# matmul
@handle_frontend_method(
class_tree=CLASS_TREE,
Expand Down Expand Up @@ -6096,44 +6134,6 @@ def test_paddle_tensor_squeeze(
)


# lcm
@handle_frontend_method(
class_tree=CLASS_TREE,
init_tree="paddle.to_tensor",
method_name="lcm",
dtypes_and_x=helpers.dtype_and_values(
available_dtypes=helpers.get_dtypes("valid"),
num_arrays=2,
min_num_dims=1,
safety_factor_scale="log",
large_abs_safety_factor=2,
shared_dtype=True,
),
)
def test_paddle_tensor_lcm(
dtypes_and_x,
frontend_method_data,
init_flags,
method_flags,
frontend,
on_device,
backend_fw,
):
input_dtype, x = dtypes_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={"y": x[1]},
frontend_method_data=frontend_method_data,
init_flags=init_flags,
method_flags=method_flags,
frontend=frontend,
on_device=on_device,
)


# tile
@handle_frontend_method(
class_tree=CLASS_TREE,
Expand Down

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