112 lines
3.5 KiB
C++
112 lines
3.5 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <graph/GraphExecutioner.h>
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/*
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using namespace sd::graph;
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class ProtoBufTests : public testing::Test {
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};
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TEST_F(ProtoBufTests, TestBinaryLoad1) {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/tensorflow_inception_graph.pb");
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ASSERT_FALSE(graph == nullptr);
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}
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TEST_F(ProtoBufTests, TestTextLoad1) {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_graph.pb.txt");
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ASSERT_FALSE(graph == nullptr);
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}
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TEST_F(ProtoBufTests, TestTextLoad2) {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_add_2.pb.txt");
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ASSERT_FALSE(graph == nullptr);
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ASSERT_EQ(2, graph->getVariableSpace()->externalEntries());
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auto var0 = graph->getVariableSpace()->getVariable(new std::string("zeros"));
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auto var1 = graph->getVariableSpace()->getVariable(new std::string("ones"));
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// first we're veryfying variable states
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ASSERT_TRUE(var0 != nullptr);
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ASSERT_TRUE(var1 != nullptr);
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ASSERT_TRUE(var0->getNDArray() != nullptr);
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ASSERT_TRUE(var1->getNDArray() != nullptr);
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ASSERT_EQ(12, var0->getNDArray()->lengthOf());
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ASSERT_EQ(12, var1->getNDArray()->lengthOf());
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ASSERT_NEAR(0.0f, var0->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
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ASSERT_NEAR(12.0f, var1->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
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ASSERT_NEAR(1.0f, var1->getNDArray()->reduceNumber<simdOps::Mean<float>>(), 1e-5);
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// now we're veryfying op graph
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ASSERT_EQ(1, graph->totalNodes());
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GraphExecutioner<float>::execute(graph);
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ASSERT_NEAR(12.0f, var0->getNDArray()->reduceNumber<simdOps::Sum<float>>(), 1e-5);
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ASSERT_NEAR(1.0f, var0->getNDArray()->reduceNumber<simdOps::Mean<float>>(), 1e-5);
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}
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TEST_F(ProtoBufTests, TestTextLoad3) {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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auto graph = GraphExecutioner<float>::importFromTensorFlow("../../../tests/resources/max_multiply.pb.txt");
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ASSERT_FALSE(graph == nullptr);
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ASSERT_EQ(2, graph->getVariableSpace()->externalEntries());
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auto var0 = graph->getVariableSpace()->getVariable(new std::string("Placeholder"));
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auto var1 = graph->getVariableSpace()->getVariable(new std::string("Placeholder_1"));
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ASSERT_TRUE(var0 != nullptr);
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ASSERT_TRUE(var1 != nullptr);
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// we expect both variables to be set to null here
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ASSERT_TRUE(var0->getNDArray() == nullptr);
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ASSERT_TRUE(var1->getNDArray() == nullptr);
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// now we're veryfying op graph
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ASSERT_EQ(1, graph->totalNodes());
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}
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*/ |