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103 lines
3.8 KiB
103 lines
3.8 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 copy
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import paddle
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from paddle.fluid.dygraph import guard
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from paddle.fluid.framework import default_main_program
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import paddle.fluid.core as core
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from paddle.fluid.executor import Executor
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import paddle.fluid.io as io
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from paddle.fluid.initializer import ConstantInitializer
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import numpy as np
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main_program = default_main_program()
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class ParameterChecks(unittest.TestCase):
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def check_parameter(self):
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shape = [784, 100]
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val = 1.0625
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b = main_program.global_block()
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param = b.create_parameter(
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name='fc.w',
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shape=shape,
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dtype='float32',
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initializer=ConstantInitializer(val))
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self.assertIsNotNone(param)
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self.assertEqual('fc.w', param.name)
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self.assertEqual((784, 100), param.shape)
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self.assertEqual(core.VarDesc.VarType.FP32, param.dtype)
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self.assertEqual(0, param.block.idx)
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exe = Executor(core.CPUPlace())
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p = exe.run(main_program, fetch_list=[param])[0]
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self.assertTrue(np.allclose(p, np.ones(shape) * val))
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p = io.get_parameter_value_by_name('fc.w', exe, main_program)
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self.assertTrue(np.allclose(np.array(p), np.ones(shape) * val))
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def check_parambase(self):
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with guard():
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linear = paddle.nn.Linear(10, 10)
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param = linear.weight
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memo = {}
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param_copy = copy.deepcopy(param, memo)
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self.assertEqual(param_copy.shape, param.shape)
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self.assertEqual(param_copy.type, param.type)
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self.assertEqual(param_copy.dtype, param.dtype)
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self.assertEqual(str(param_copy.place), str(param.place))
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self.assertTrue(np.array_equal(param_copy.numpy(), param.numpy()))
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self.assertEqual(param_copy.optimize_attr, param.optimize_attr)
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self.assertEqual(param_copy.regularizer, param.regularizer)
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self.assertEqual(param_copy.do_model_average,
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param.do_model_average)
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self.assertEqual(param_copy.need_clip, param.need_clip)
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self.assertEqual(param_copy.is_distributed, param.is_distributed)
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pram_copy2 = copy.deepcopy(param, memo)
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self.assertEqual(id(param_copy), id(pram_copy2))
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def check_exceptions(self):
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b = main_program.global_block()
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with self.assertRaises(ValueError):
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b.create_parameter(
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name='test', shape=None, dtype='float32', initializer=None)
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with self.assertRaises(ValueError):
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b.create_parameter(
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name='test', shape=[1], dtype=None, initializer=None)
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with self.assertRaises(ValueError):
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b.create_parameter(
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name='test', shape=[], dtype='float32', initializer=None)
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with self.assertRaises(ValueError):
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b.create_parameter(
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name='test', shape=[-1], dtype='float32', initializer=None)
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class TestParameter(ParameterChecks):
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def _test_parameter(self):
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self.check_parameter()
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def test_parambase(self):
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self.check_parambase()
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def test_exceptions(self):
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self.check_exceptions()
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if __name__ == '__main__':
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unittest.main()
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