cavis/libnd4j/tests_cpu/layers_tests/ProtoBufTests.cpp

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "testlayers.h"
#include <graph/GraphExecutioner.h>
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/*
using namespace sd::graph;
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class ProtoBufTests : public testing::Test {
};
TEST_F(ProtoBufTests, TestBinaryLoad1) {
GOOGLE_PROTOBUF_VERIFY_VERSION;
auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/tensorflow_inception_graph.pb");
ASSERT_FALSE(graph == nullptr);
}
TEST_F(ProtoBufTests, TestTextLoad1) {
GOOGLE_PROTOBUF_VERIFY_VERSION;
auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_graph.pb.txt");
ASSERT_FALSE(graph == nullptr);
}
TEST_F(ProtoBufTests, TestTextLoad2) {
GOOGLE_PROTOBUF_VERIFY_VERSION;
auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_add_2.pb.txt");
ASSERT_FALSE(graph == nullptr);
ASSERT_EQ(2, graph->getVariableSpace()->externalEntries());
auto var0 = graph->getVariableSpace()->getVariable(new std::string("zeros"));
auto var1 = graph->getVariableSpace()->getVariable(new std::string("ones"));
// first we're veryfying variable states
ASSERT_TRUE(var0 != nullptr);
ASSERT_TRUE(var1 != nullptr);
ASSERT_TRUE(var0->getNDArray() != nullptr);
ASSERT_TRUE(var1->getNDArray() != nullptr);
ASSERT_EQ(12, var0->getNDArray()->lengthOf());
ASSERT_EQ(12, var1->getNDArray()->lengthOf());
ASSERT_NEAR(0.0f, var0->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
ASSERT_NEAR(12.0f, var1->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
ASSERT_NEAR(1.0f, var1->getNDArray()->reduceNumber<simdOps::Mean<float>>(), 1e-5);
// now we're veryfying op graph
ASSERT_EQ(1, graph->totalNodes());
GraphExecutioner<float>::execute(graph);
ASSERT_NEAR(12.0f, var0->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
ASSERT_NEAR(1.0f, var0->getNDArray()->reduceNumber<simdOps::Mean<float>>(), 1e-5);
}
TEST_F(ProtoBufTests, TestTextLoad3) {
GOOGLE_PROTOBUF_VERIFY_VERSION;
auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_multiply.pb.txt");
ASSERT_FALSE(graph == nullptr);
ASSERT_EQ(2, graph->getVariableSpace()->externalEntries());
auto var0 = graph->getVariableSpace()->getVariable(new std::string("Placeholder"));
auto var1 = graph->getVariableSpace()->getVariable(new std::string("Placeholder_1"));
ASSERT_TRUE(var0 != nullptr);
ASSERT_TRUE(var1 != nullptr);
// we expect both variables to be set to null here
ASSERT_TRUE(var0->getNDArray() == nullptr);
ASSERT_TRUE(var1->getNDArray() == nullptr);
// now we're veryfying op graph
ASSERT_EQ(1, graph->totalNodes());
}
*/