diff --git a/python/paddle/v2/__init__.py b/python/paddle/v2/__init__.py index b31efe170dbf11771311ed5dbf4cd8b299b0c4ca..f055c845c7c42b3831973ac89d3e90b6969add07 100644 --- a/python/paddle/v2/__init__.py +++ b/python/paddle/v2/__init__.py @@ -24,12 +24,13 @@ from . import dataset from . import reader import attr import pooling +import networks import py_paddle.swig_paddle as api __all__ = [ 'optimizer', 'layer', 'activation', 'parameters', 'init', 'trainer', 'event', 'data_type', 'attr', 'pooling', 'data_feeder', 'dataset', 'reader', - 'topology' + 'topology', 'networks' ] diff --git a/python/paddle/v2/config_base.py b/python/paddle/v2/config_base.py index c733f4866dca0a5836ab4208da8fb81dce7c7e08..035f96b0f2e978a413a1ebe0ec115f75ff07befc 100644 --- a/python/paddle/v2/config_base.py +++ b/python/paddle/v2/config_base.py @@ -1,3 +1,17 @@ +# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import collections from paddle.trainer_config_helpers.default_decorators import wrap_name_default diff --git a/python/paddle/v2/networks.py b/python/paddle/v2/networks.py new file mode 100644 index 0000000000000000000000000000000000000000..74d91593d8551bc1592a78efb704ab3b89f0e0d9 --- /dev/null +++ b/python/paddle/v2/networks.py @@ -0,0 +1,45 @@ +# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import paddle.trainer_config_helpers.networks as conf_nw +import inspect +from config_base import __convert_to_v2__ + +__all__ = [] + + +def __initialize__(): + for each_subnetwork in conf_nw.__all__: + if each_subnetwork in ['inputs', 'outputs']: + continue + func = getattr(conf_nw, each_subnetwork) + if hasattr(func, 'argspec'): + argspec = func.argspec + else: + argspec = inspect.getargspec(func) + if each_subnetwork == 'simple_attention': + parents = ['encoded_sequence', 'encoded_proj', 'decoder_state'] + else: + parents = filter(lambda x: x.startswith('input'), argspec.args) + assert len(parents) != 0, each_subnetwork + v2_subnet = __convert_to_v2__( + each_subnetwork, + parent_names=parents, + is_default_name='name' in argspec.args) + globals()[each_subnetwork] = v2_subnet + global __all__ + __all__.append(each_subnetwork) + + +__initialize__() diff --git a/python/paddle/v2/tests/test_layer.py b/python/paddle/v2/tests/test_layer.py index b138ddbbe6c0a431393fef165b4eaebf7bfa81e4..0055679a91801a2f9b6432797665ec17caf3beb1 100644 --- a/python/paddle/v2/tests/test_layer.py +++ b/python/paddle/v2/tests/test_layer.py @@ -18,6 +18,7 @@ import paddle.v2.attr as attr import paddle.v2.data_type as data_type import paddle.v2.layer as layer import paddle.v2.pooling as pooling +import paddle.v2.networks as networks pixel = layer.data(name='pixel', type=data_type.dense_vector(128)) label = layer.data(name='label', type=data_type.integer_value(10)) @@ -251,5 +252,13 @@ class ProjOpTest(unittest.TestCase): print layer.parse_network(conv1) +class NetworkTests(unittest.TestCase): + def test_vgg(self): + img = layer.data(name='pixel', type=data_type.dense_vector(784)) + vgg_out = networks.small_vgg( + input_image=img, num_channels=1, num_classes=2) + print layer.parse_network(vgg_out) + + if __name__ == '__main__': unittest.main()