83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import unittest
|
|
|
|
import paddle
|
|
from paddle.decomposition import decompose
|
|
from paddle.framework import core
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
def get_ir_program():
|
|
paddle.enable_static()
|
|
x = paddle.randn([4, 4])
|
|
main_program, start_program = (
|
|
paddle.static.Program(),
|
|
paddle.static.Program(),
|
|
)
|
|
with paddle.static.program_guard(main_program, start_program):
|
|
x_s = paddle.static.data('x', [4, 4], x.dtype)
|
|
x_s.stop_gradient = False
|
|
y_s = paddle.divide(x_s, x_s)
|
|
y_s = paddle.add(x_s, y_s)
|
|
y_s = paddle.mean(y_s)
|
|
y_s = paddle.tanh(y_s)
|
|
pir_program = main_program
|
|
|
|
all_ops = pir_program.global_block().ops
|
|
for op in all_ops:
|
|
op.op_role = 1
|
|
|
|
return pir_program
|
|
|
|
|
|
class TestBuildOp(unittest.TestCase):
|
|
def test_build_op(self):
|
|
pir_program = get_ir_program()
|
|
y = pir_program.global_block().ops[-2].results()
|
|
orig_shape = y[0].shape
|
|
with paddle.pir_utils.IrGuard():
|
|
core._set_prim_forward_enabled(True)
|
|
y_new = decompose(pir_program, y)
|
|
core._set_prim_forward_enabled(False)
|
|
new_shape = y_new[0].shape
|
|
assert orig_shape == new_shape, (
|
|
f"Original shape {orig_shape} is not equal to new shape {new_shape}"
|
|
)
|
|
op_name_list = [op.name() for op in pir_program.global_block().ops]
|
|
self.assertEqual(
|
|
op_name_list,
|
|
[
|
|
'pd_op.data',
|
|
'pd_op.divide',
|
|
'pd_op.add',
|
|
'pd_op.full_int_array',
|
|
'pd_op.full_int_array',
|
|
'pd_op.sum',
|
|
'pd_op.full',
|
|
'pd_op.divide',
|
|
'pd_op.tanh',
|
|
],
|
|
)
|
|
op_role_list = [op.op_role for op in pir_program.global_block().ops]
|
|
self.assertEqual(
|
|
all(op_role == 1 for op_role in op_role_list), True
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|