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51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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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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#
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import ngraph as ng
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import ngraph.frontends.neon as neon
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from ngraph.util.names import name_scope
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import numpy as np
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class MiddlewareEmbedder(object):
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def __init__(self, activation_function=neon.Rectlin(), name="middleware_embedder"):
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self.name = name
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self.input = None
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self.output = None
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self.weights_init = neon.GlorotInit()
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self.biases_init = neon.ConstantInit()
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self.activation_function = activation_function
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def __call__(self, input_layer):
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with name_scope(self.get_name()):
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self.input = input_layer
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self._build_module()
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return self.input, self.output(self.input)
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def _build_module(self):
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pass
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def get_name(self):
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return self.name
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class FC_Embedder(MiddlewareEmbedder):
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def _build_module(self):
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self.output = neon.Sequential([
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neon.Affine(nout=512, activation=self.activation_function,
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weight_init=self.weights_init, bias_init=self.biases_init)])
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