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108 lines
3.6 KiB
108 lines
3.6 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import numpy as np
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import paddle.fluid.core as core
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from op_test import OpTest
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from scipy.special import expit, erf
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import paddle
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import paddle.fluid as fluid
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import paddle.nn as nn
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import paddle.nn.functional as functional
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class TestNNSigmoidAPI(unittest.TestCase):
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def setUp(self):
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self.init_data()
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def init_data(self):
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self.x_shape = [10, 15]
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self.x = np.random.uniform(-1, 1, self.x_shape).astype(np.float32)
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self.y = self.ref_forward(self.x)
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def ref_forward(self, x):
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return 1 / (1 + np.exp(-x))
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def ref_backward(self, y, dy):
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return dy * y * (1 - y)
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def check_static_api(self, place):
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paddle.enable_static()
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main_program = paddle.static.Program()
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mysigmoid = nn.Sigmoid(name="api_sigmoid")
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with paddle.static.program_guard(main_program):
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x = paddle.static.data(name='x', shape=self.x_shape)
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x.stop_gradient = False
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y = mysigmoid(x)
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fluid.backward.append_backward(paddle.mean(y))
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exe = paddle.static.Executor(place)
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out = exe.run(main_program, feed={'x': self.x}, fetch_list=[y])
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self.assertTrue(np.allclose(out[0], self.y))
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self.assertTrue(y.name.startswith("api_sigmoid"))
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def check_dynamic_api(self, place):
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paddle.disable_static(place)
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x = paddle.to_tensor(self.x)
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mysigmoid = nn.Sigmoid()
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y = mysigmoid(x)
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self.assertTrue(np.allclose(y.numpy(), self.y))
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def test_check_api(self):
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places = [fluid.CPUPlace()]
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if core.is_compiled_with_cuda():
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places.append(fluid.CUDAPlace(0))
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for place in places:
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self.check_dynamic_api(place)
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self.check_static_api(place)
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class TestNNFunctionalSigmoidAPI(unittest.TestCase):
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def setUp(self):
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self.init_data()
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def init_data(self):
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self.x_shape = [10, 15]
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self.x = np.random.uniform(-1, 1, self.x_shape).astype(np.float32)
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self.y = self.ref_forward(self.x)
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def ref_forward(self, x):
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return 1 / (1 + np.exp(-x))
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def check_static_api(self, place):
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paddle.enable_static()
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main_program = paddle.static.Program()
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with paddle.static.program_guard(main_program):
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x = paddle.static.data(name='x', shape=self.x_shape)
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y = functional.sigmoid(x, name="api_sigmoid")
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exe = paddle.static.Executor(fluid.CPUPlace())
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out = exe.run(main_program, feed={'x': self.x}, fetch_list=[y])
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self.assertTrue(np.allclose(out[0], self.y))
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def check_dynamic_api(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x)
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y = functional.sigmoid(x)
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self.assertTrue(np.allclose(y.numpy(), self.y))
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def test_check_api(self):
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places = [fluid.CPUPlace()]
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if core.is_compiled_with_cuda():
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places.append(fluid.CUDAPlace(0))
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for place in places:
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self.check_static_api(place)
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self.check_dynamic_api()
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