67 lines
2.4 KiB
67 lines
2.4 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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from test_imperative_base import new_program_scope
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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 TestDygraphFramework(unittest.TestCase):
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def test_dygraph_backward(self):
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with new_program_scope():
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mlp = MLP("mlp")
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var_inp = fluid.layers.data(
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"input", shape=[2, 2], dtype="float32", append_batch_size=False)
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out = mlp(var_inp)
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try:
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out.backward()
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raise AssertionError(
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"backward should not be usable in static graph mode")
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except ValueError as e:
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self.assertTrue((e is not None))
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def test_dygraph_to_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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with fluid.dygraph.guard():
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var_inp = fluid.dygraph.base.to_variable(np_inp)
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var_inp.to_string(throw_on_error=True)
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