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/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 "singa/model/layer.h"
#include "singa/singa_config.h"
TEST(Layer, CreateLayer) {
std::vector<std::string> types{"convolution", "dense", "dropout", "relu",
"batchnorm", "flatten", "lrn", "pooling",
"prelu", "softmax"};
for (auto type : types) {
auto layer = singa::CreateLayer("singacpp_" + type);
// EXPECT_EQ(layer->layer_type(), type);
}
}
#ifdef USE_CUDNN
TEST(Layer, CreateCudnnLayer) {
std::vector<std::string> types{"convolution", "relu", "batchnorm",
"lrn", "pooling", "softmax"};
#if CUDNN_MAJOR >= 5
types.push_back("dropout");
#endif
for (auto type : types) {
auto layer = singa::CreateLayer("cudnn_" + type);
// EXPECT_EQ(layer->layer_type(), type);
}
}
#endif