wehub-resource-sync
74 lines
2.5 KiB
Python
74 lines
2.5 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 numpy as np
|
|
|
|
import paddle
|
|
from paddle.autograd.ir_backward import grad
|
|
from paddle.decomposition import decomp
|
|
from paddle.framework import core
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
class TestPrimMode(unittest.TestCase):
|
|
def setUp(self):
|
|
np.random.seed(2023)
|
|
self.shape_x = [2, 1024, 1024]
|
|
self.shape_y = [2, 1024, 1024]
|
|
self.x = np.random.random(self.shape_x).astype("float32")
|
|
self.y = np.random.random(self.shape_y).astype("float32")
|
|
|
|
def base_net(self, flag=None):
|
|
if flag == "all":
|
|
core._set_prim_all_enabled(True)
|
|
main_program = paddle.static.Program()
|
|
with paddle.static.program_guard(main_program):
|
|
x = paddle.static.data('x', [-1, 1024, 1024], dtype='float32')
|
|
y = paddle.static.data('y', self.shape_y, dtype='float32')
|
|
x.stop_gradient = False
|
|
x1 = paddle.nn.functional.relu(x)
|
|
y.stop_gradient = False
|
|
z = paddle.divide(x1, y)
|
|
res = paddle.nn.functional.gelu(z)
|
|
[res2] = decomp.decompose(main_program, [res])
|
|
gradients = grad(res2, (x, y))
|
|
exe = paddle.static.Executor()
|
|
outs = exe.run(
|
|
feed={
|
|
'x': self.x,
|
|
'y': self.y,
|
|
},
|
|
fetch_list=[res2, gradients[0], gradients[1]],
|
|
)
|
|
|
|
whole_ops = [op.name() for op in main_program.global_block().ops]
|
|
if flag == "all":
|
|
core._set_prim_all_enabled(False)
|
|
assert 'pd_op.gelu' not in whole_ops
|
|
return outs
|
|
|
|
def test_prim_all_dynamic(self):
|
|
paddle.set_flags({"FLAGS_prim_skip_dynamic": True})
|
|
res_ref = self.base_net()
|
|
res = self.base_net("all")
|
|
for ref, actual in zip(res_ref, res):
|
|
np.testing.assert_allclose(ref, actual, rtol=1e-6)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|