/* * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved * * 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 "moco/Import/Nodes/Pack.h" #include "TestHelper.h" #include using namespace moco::test; namespace { // clang-format off const char *pack_01_pbtxtdata = STRING_CONTENT( name: "Pack" op: "Pack" input: "input_1" input: "input_2" input: "input_3" input: "input_4" attr { key: "N" value { i: 4 } } attr { key: "T" value { type: DT_INT32 } } attr { key: "axis" value { i: 0 } } ); // clang-format on } // namespace TEST(TensorFlowImport, tf_pack_basic) { TFNodeBuildTester tester; moco::PackGraphBuilder graphbuilder; tensorflow::NodeDef nodedef; EXPECT_TRUE(plier::tf::parse_nodedef(pack_01_pbtxtdata, nodedef)); // what to test: // - there should exist TFPack // - there should be four values // - values(idx) should not be nullptr // - axis() should be 0 tester.inputs({"input_1", "input_2", "input_3", "input_4"}); tester.output("Pack"); tester.run(nodedef, graphbuilder); auto test_node = loco::must_cast(tester.output()); ASSERT_NE(test_node, nullptr); ASSERT_EQ(test_node->N(), 4); ASSERT_NE(test_node->values(0), nullptr); ASSERT_NE(test_node->values(1), nullptr); ASSERT_NE(test_node->values(2), nullptr); ASSERT_NE(test_node->values(3), nullptr); ASSERT_EQ(test_node->axis(), 0); }