You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
80 lines
2.8 KiB
80 lines
2.8 KiB
# Copyright (c) 2018 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.fluid as fluid
|
|
|
|
|
|
class L1(fluid.imperative.Layer):
|
|
def __init__(self, prefix):
|
|
super(L1, self).__init__(prefix)
|
|
self._param_attr = fluid.ParamAttr(
|
|
initializer=fluid.initializer.Constant(value=0.1))
|
|
self.w1 = self.create_parameter(
|
|
attr=self._param_attr, shape=[2, 2], dtype='float32', is_bias=False)
|
|
self.w2 = self.create_parameter(
|
|
attr=self._param_attr, shape=[2, 2], dtype='float32', is_bias=False)
|
|
|
|
def forward(self):
|
|
return self.w1 + self.w2
|
|
|
|
|
|
class L2(fluid.imperative.Layer):
|
|
def __init__(self, prefix):
|
|
super(L2, self).__init__(prefix)
|
|
self.layer1 = L1(self.full_name())
|
|
self.layer2 = L1(self.full_name())
|
|
|
|
def forward(self):
|
|
return self.layer1() + self.layer2()
|
|
|
|
|
|
class L3(fluid.imperative.Layer):
|
|
def __init__(self, prefix):
|
|
super(L3, self).__init__(prefix)
|
|
self.layer1 = L2(self.full_name())
|
|
self.layer2 = L2(self.full_name())
|
|
|
|
def forward(self):
|
|
return self.layer1() + self.layer2()
|
|
|
|
|
|
class TestBaseLayer(unittest.TestCase):
|
|
def test_one_level(self):
|
|
with fluid.imperative.guard():
|
|
l = L1('test_one_level')
|
|
ret = l()
|
|
self.assertEqual(l.w1.name, "test_one_level/L1_0.w_0")
|
|
self.assertEqual(l.w2.name, "test_one_level/L1_0.w_1")
|
|
self.assertTrue(np.allclose(ret._numpy(), 0.2 * np.ones([2, 2])))
|
|
|
|
def test_three_level(self):
|
|
with fluid.imperative.guard():
|
|
l = L3('test_three_level')
|
|
names = [p.name for p in l.parameters()]
|
|
ret = l()
|
|
self.assertEqual(names[0], "test_three_level/L3_0/L2_0/L1_0.w_0")
|
|
self.assertEqual(names[1], "test_three_level/L3_0/L2_0/L1_0.w_1")
|
|
self.assertEqual(names[2], "test_three_level/L3_0/L2_0/L1_1.w_0")
|
|
self.assertEqual(names[3], "test_three_level/L3_0/L2_0/L1_1.w_1")
|
|
self.assertEqual(names[4], "test_three_level/L3_0/L2_1/L1_0.w_0")
|
|
self.assertEqual(names[5], "test_three_level/L3_0/L2_1/L1_0.w_1")
|
|
self.assertTrue(np.allclose(ret._numpy(), 0.8 * np.ones([2, 2])))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|