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);
+}