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76 lines
2.8 KiB
76 lines
2.8 KiB
# Copyright (c) 2019 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.fluid as fluid
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import numpy as np
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class MLP(fluid.Layer):
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def __init__(self, name_scope):
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super(MLP, self).__init__(name_scope)
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self._fc1 = fluid.dygraph.FC(
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self.full_name(),
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3,
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param_attr=fluid.ParamAttr(
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initializer=fluid.initializer.Constant(value=0.1)),
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bias_attr=fluid.ParamAttr(
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initializer=fluid.initializer.Constant(value=0.1)))
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self._fc2 = fluid.dygraph.FC(
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self.full_name(),
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4,
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param_attr=fluid.ParamAttr(
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initializer=fluid.initializer.Constant(value=0.1)),
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bias_attr=fluid.ParamAttr(
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initializer=fluid.initializer.Constant(value=0.1)))
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def forward(self, inputs):
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x = self._fc1(inputs)
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x = self._fc2(x)
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x = fluid.layers.reduce_sum(x)
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return x
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class TestDygraphDebugString(unittest.TestCase):
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def test_dygraph_debug_string(self):
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np_inp = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32)
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unique_name = 0
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trace_var = 0
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alive_var = 0
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with fluid.dygraph.guard():
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mlp = MLP("mlp")
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for i in range(10):
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var_inp = fluid.dygraph.base.to_variable(np_inp)
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out = mlp(var_inp)
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out.backward()
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mlp.clear_gradients()
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unique_name_tmp, trace_var_tmp, alive_var_tmp = fluid.dygraph.base._print_debug_msg(
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is_test=True)
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if i > 0:
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self.assertGreaterEqual(unique_name, unique_name_tmp)
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self.assertGreaterEqual(trace_var, trace_var_tmp)
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self.assertGreaterEqual(alive_var, alive_var_tmp)
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else:
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unique_name = unique_name_tmp
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trace_var = trace_var_tmp
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alive_var = alive_var_tmp
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try:
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fluid.dygraph.base._print_debug_msg()
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except Exception as e:
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raise RuntimeError(
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"No Exception is accepted in _print_debug_msg, but we got: {}".
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format(e))
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