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77 lines
2.3 KiB
77 lines
2.3 KiB
# Copyright (c) 2018 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 paddle
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from op_test import OpTest
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import numpy as np
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def output_hist(out):
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hist, _ = np.histogram(out, bins=2)
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hist = hist.astype("float32")
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hist /= float(out.size)
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prob = 0.5 * np.ones((2))
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return hist, prob
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class TestBernoulliOp(OpTest):
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def setUp(self):
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self.op_type = "bernoulli"
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self.inputs = {"X": np.random.uniform(size=(1000, 784))}
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self.init_attrs()
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self.outputs = {"Out": np.zeros((1000, 784)).astype("float32")}
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def init_attrs(self):
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self.attrs = {}
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self.output_hist = output_hist
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def test_check_output(self):
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self.check_output_customized(self.verify_output)
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def verify_output(self, outs):
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hist, prob = self.output_hist(np.array(outs[0]))
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self.assertTrue(
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np.allclose(
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hist, prob, rtol=0, atol=0.01), "hist: " + str(hist))
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class TestBernoulliApi(unittest.TestCase):
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def test_dygraph(self):
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paddle.disable_static()
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x = paddle.rand([1024, 1024])
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out = paddle.bernoulli(x)
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paddle.enable_static()
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hist, prob = output_hist(out.numpy())
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self.assertTrue(
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np.allclose(
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hist, prob, rtol=0, atol=0.01), "hist: " + str(hist))
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def test_static(self):
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x = paddle.rand([1024, 1024])
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out = paddle.bernoulli(x)
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exe = paddle.static.Executor(paddle.CPUPlace())
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out = exe.run(paddle.static.default_main_program(),
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fetch_list=[out.name])
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hist, prob = output_hist(out[0])
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self.assertTrue(
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np.allclose(
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hist, prob, rtol=0, atol=0.01), "hist: " + str(hist))
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if __name__ == "__main__":
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unittest.main()
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