/**
 * 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
