提交 aa0ca57a 编写于 作者: C caoying03

add unittest.

上级 567c1a1f
......@@ -66,6 +66,16 @@ add_unittest_without_exec(test_BatchNorm
add_test(NAME test_BatchNorm
COMMAND test_BatchNorm)
################# test_KmaxSeqScore #######################
add_unittest_without_exec(test_KmaxSeqScore
test_KmaxSeqScore.cpp
LayerGradUtil.cpp)
add_test(NAME test_KmaxSeqScore
COMMAND test_KmaxSeqScore)
################## test_Evaluator #######################
add_unittest(test_Evaluator
test_Evaluator.cpp)
......
/* Copyright (c) 2016 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. */
#include <gtest/gtest.h>
#include <string>
#include <vector>
#include "ModelConfig.pb.h"
#include "paddle/gserver/layers/DataLayer.h"
#include "paddle/trainer/Trainer.h"
#include "paddle/utils/GlobalConstants.h"
#include "LayerGradUtil.h"
#include "paddle/testing/TestUtil.h"
using namespace paddle; // NOLINT
using namespace std; // NOLINT
DECLARE_bool(use_gpu);
DECLARE_int32(gpu_id);
DECLARE_bool(thread_local_rand_use_global_seed);
// Test that the batchNormLayer can be followed by a ConvLayer
TEST(Layer, kmaxSeqScoreLayer) {
for (auto hasSubseq : {true, false}) {
for (auto useGpu : {true, false}) {
TestConfig config;
config.layerConfig.set_type("kmax_seq_score");
config.inputDefs.push_back(
{hasSubseq ? INPUT_HASSUB_SEQUENCE_DATA : INPUT_SEQUENCE_DATA,
"layer_0",
1,
0});
config.layerConfig.add_inputs();
// data layer initialize
std::vector<DataLayerPtr> dataLayers;
LayerMap layerMap;
vector<Argument> datas;
initDataLayer(config,
&dataLayers,
&datas,
&layerMap,
"kmax_seq_score",
100,
false,
useGpu);
// test layer initialize
std::vector<ParameterPtr> parameters;
LayerPtr kmaxSeqScoreLayer;
initTestLayer(config, &layerMap, &parameters, &kmaxSeqScoreLayer);
kmaxSeqScoreLayer->forward(PASS_TRAIN);
}
}
}
int main(int argc, char** argv) {
testing::InitGoogleTest(&argc, argv);
initMain(argc, argv);
FLAGS_thread_local_rand_use_global_seed = true;
srand(1);
return RUN_ALL_TESTS();
}
#!/usr/bin/env python
#coding=utf-8
from paddle.trainer_config_helpers import *
data = data_layer(name='input', size=300)
data = data_layer(name="data", size=128)
scores = fc_layer(input=data, size=1, act=ExpActivation())
kmax_seq_id = kmax_sequence_score_layer(input=scores, beam_size=5)
outputs(kmax_seq_id)
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