test_ntm_layers.py 1.3 KB
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#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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.
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from paddle.trainer_config_helpers import *

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settings(batch_size=1000, learning_rate=1e-5)
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weight = data_layer(name='w', size=1)
a = data_layer(name='a', size=100)
b = data_layer(name='b', size=100)
c = data_layer(name='c', size=200)
d = data_layer(name='d', size=31)

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outputs(
    interpolation_layer(
        input=[a, b], weight=weight),
    power_layer(
        input=a, weight=weight),
    scaling_layer(
        input=a, weight=weight),
    cos_sim(
        a=a, b=b),
    cos_sim(
        a=a, b=c, size=2),
    sum_to_one_norm_layer(input=a),
    conv_shift_layer(
        a=a, b=d),
    tensor_layer(
        a=a, b=b, size=1000),
    slope_intercept_layer(
        input=a, slope=0.7, intercept=0.9),
    linear_comb_layer(
        weights=b, vectors=c))