wehub-resource-sync
95 lines
2.5 KiB
Python
95 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
|
|
|
|
from test_case_base import TestCaseBase
|
|
|
|
import paddle
|
|
|
|
|
|
class SimpleNet(paddle.nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.linear1 = paddle.nn.Linear(10, 1)
|
|
|
|
def forward(self, x):
|
|
out1 = self.linear1(x)
|
|
return out1
|
|
|
|
|
|
class SimpleNet_bound(paddle.nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.linear1 = paddle.nn.Linear(10, 1)
|
|
|
|
def add(self, x):
|
|
return x + 1
|
|
|
|
def forward(self, x):
|
|
x = self.add(x)
|
|
out1 = self.linear1(x)
|
|
return out1
|
|
|
|
|
|
def net_call(x: paddle.Tensor, net):
|
|
return net(x)
|
|
|
|
|
|
def net_call_passed_by_user(x: paddle.Tensor, net_forward):
|
|
return net_forward(x)
|
|
|
|
|
|
class SimpleNetWithSequenital(paddle.nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.seq = paddle.nn.Sequential(
|
|
paddle.nn.Linear(10, 10),
|
|
paddle.nn.Linear(10, 10),
|
|
paddle.nn.Linear(10, 1),
|
|
)
|
|
|
|
def forward(self, x):
|
|
out1 = self.seq(x)
|
|
return out1
|
|
|
|
|
|
class TestLayer(TestCaseBase):
|
|
def test_layer(self):
|
|
x = paddle.rand((10,))
|
|
y = paddle.rand((10, 10))
|
|
net = SimpleNet()
|
|
self.assert_results(net_call, x, net)
|
|
self.assert_results(net_call, y, net)
|
|
self.assert_results(net_call_passed_by_user, x, net.forward)
|
|
|
|
def test_layer_with_sequential(self):
|
|
x = paddle.rand((10,))
|
|
y = paddle.rand((10, 10))
|
|
net = SimpleNetWithSequenital()
|
|
self.assert_results(net_call, x, net)
|
|
self.assert_results(net_call, y, net)
|
|
self.assert_results(net_call_passed_by_user, x, net.forward)
|
|
|
|
def test_bound(self):
|
|
x = paddle.rand((10,))
|
|
y = paddle.rand((10, 10))
|
|
net = SimpleNet_bound()
|
|
self.assert_results(net_call, x, net)
|
|
self.assert_results(net_call, y, net)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|