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Diffstat (limited to 'compiler/moco/import/src/Nodes/Conv2D.test.cpp')
-rw-r--r-- | compiler/moco/import/src/Nodes/Conv2D.test.cpp | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/Conv2D.test.cpp b/compiler/moco/import/src/Nodes/Conv2D.test.cpp new file mode 100644 index 000000000..ba006f489 --- /dev/null +++ b/compiler/moco/import/src/Nodes/Conv2D.test.cpp @@ -0,0 +1,119 @@ +/* + * 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/Conv2D.h" +#include "TestHelper.h" + +#include <gtest/gtest.h> + +using namespace moco::test; + +namespace +{ +// clang-format off +const char *conv2d_01_pbtxtdata = STRING_CONTENT( + name: "conv2d" + op: "Conv2D" + input: "ifm" + input: "ker" + attr { key: "T" value { type: DT_FLOAT } } + attr { key: "data_format" value { s: "NHWC" } } + attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } + attr { key: "padding" value { s: "VALID" } } + attr { key: "strides" value { list { i: 1 i: 2 i: 3 i: 1 } } } +); +// clang-format on +} // namespace + +TEST(TensorFlowImport, Conv2D_01) +{ + TFNodeBuildTester tester; + moco::Conv2DGraphBuilder graphbuilder; + tensorflow::NodeDef nodedef; + + EXPECT_TRUE(plier::tf::parse_nodedef(conv2d_01_pbtxtdata, nodedef)); + + // what to test: + // - Conv2D node should exist + // - ifm() should not be nullptr + // - ker() should not be nullptr + // - attribute values should match + + tester.inputs({"ifm", "ker"}); + tester.output("conv2d"); + tester.run(nodedef, graphbuilder); + + auto test_node = dynamic_cast<moco::TFConv2D *>(tester.output()); + ASSERT_NE(test_node, nullptr); + ASSERT_EQ(test_node->padding(), "VALID"); + ASSERT_EQ(test_node->data_layout(), "NHWC"); + auto strides = test_node->strides(); + ASSERT_EQ(strides.size(), 4); + // TODO add verify dilation +} + +namespace +{ +// clang-format off +const char *conv2d_inception_pbtxtdata = STRING_CONTENT( + name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D" + op: "Conv2D" + input: "input:0" + input: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3" + attr { + key: "T" + value { type: DT_FLOAT } + } + attr { + key: "data_format" + value { s: "NHWC" } + } + attr { + key: "dilations" + value { + list { i: 1 i: 1 i: 1 i: 1 } + } + } + attr { + key: "padding" + value { s: "VALID" } + } + attr { + key: "strides" + value { + list { i: 1 i: 2 i: 2 i: 1 } + } + } +); +} // namespace + +TEST(TensorFlowImport, Conv2D_inception_indexed_tensor_name) +{ + TFNodeBuildTester tester; + moco::Conv2DGraphBuilder graphbuilder; + tensorflow::NodeDef nodedef; + + EXPECT_TRUE(plier::tf::parse_nodedef(conv2d_inception_pbtxtdata, nodedef)); + + // what to test: name with ':0' should be treated correctly + // - Conv2D node should exist + // - ifm() should not be nullptr + // - ker() should not be nullptr + + tester.inputs({"input", "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3"}); + tester.output("InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D"); + tester.run(nodedef, graphbuilder); +} |