wehub-resource-sync
80 lines
2.1 KiB
Python
80 lines
2.1 KiB
Python
# Copyright (c) 2019 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
|
|
from dygraph_to_static_utils import (
|
|
Dy2StTestBase,
|
|
)
|
|
|
|
import paddle
|
|
|
|
np.random.seed(1)
|
|
|
|
|
|
class SimpleNet(paddle.nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self._linear = paddle.nn.Linear(1, 1)
|
|
|
|
def forward(self, x):
|
|
"""forward with duplicate outputs."""
|
|
x = self._linear(x)
|
|
return x, x
|
|
|
|
|
|
class DuplicateOutputInPaddleLayer(paddle.nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
# In GRUCell, the output is a tuple (h, h)
|
|
self.layer = paddle.nn.GRUCell(10, 20)
|
|
|
|
def forward(self, x):
|
|
x = self.layer(x)
|
|
return x
|
|
|
|
|
|
class TestDuplicateOutput(Dy2StTestBase):
|
|
def _run_static(self):
|
|
net = paddle.jit.to_static(SimpleNet())
|
|
x = paddle.to_tensor([1.0])
|
|
param = net.parameters()
|
|
param[0].clear_grad()
|
|
|
|
loss0, loss1 = net(x)
|
|
loss0.backward()
|
|
|
|
self.assertEqual(param[0].grad.numpy(), 1.0)
|
|
|
|
def test_ast_to_func(self):
|
|
self._run_static()
|
|
|
|
|
|
class TestDuplicateOutputInPaddleLayer(Dy2StTestBase):
|
|
def check_dygraph_and_static_result(self, net, x):
|
|
static_net = paddle.jit.to_static(net)
|
|
dy_out = net(x)
|
|
st_out = static_net(x)
|
|
np.testing.assert_allclose(dy_out, st_out)
|
|
|
|
def test_ast_to_func(self):
|
|
net = DuplicateOutputInPaddleLayer()
|
|
x = paddle.randn([10, 10])
|
|
self.check_dygraph_and_static_result(net, x)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|