1 files changed, 88 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/FusedBatchNorm.test.cpp b/compiler/moco/import/src/Nodes/FusedBatchNorm.test.cpp
new file mode 100644
index 000000000..0f2e037b8
--- /dev/null
+++ b/compiler/moco/import/src/Nodes/FusedBatchNorm.test.cpp
@@ -0,0 +1,88 @@
+/*
+ * 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/FusedBatchNorm.h"
+#include "TestHelper.h"
+
+#include <gtest/gtest.h>
+
+using namespace moco::test;
+
+namespace
+{
+// clang-format off
+const char *fbn_basic_pbtxt = STRING_CONTENT(
+  name: "FBN_01"
+  op: "FusedBatchNorm"
+  input: "input"
+  input: "gamma"
+  input: "beta"
+  input: "FBN_01/mean"
+  input: "FBN_01/variance"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+  attr {
+    key: "epsilon"
+    value {
+      f: 0.001
+    }
+  }
+  attr {
+    key: "is_training"
+    value {
+      b: false
+    }
+  }
+);
+// clang-format on
+
+} // namespace
+
+TEST(TensorFlowImport, tf_fbn_basic)
+{
+  TFNodeBuildTester tester;
+  moco::FusedBatchNormGraphBuilder graphbuilder;
+  tensorflow::NodeDef nodedef;
+
+  EXPECT_TRUE(plier::tf::parse_nodedef(fbn_basic_pbtxt, nodedef));
+
+  // what to test:
+  // - there should exist a TFFusedBatchNorm
+  // - input() should not be nullptr
+  // - gamma() should not be nullptr
+  // - beta() should not be nullptr
+  // - mean() should not be nullptr
+  // - variance() should not be nullptr
+  // - epsilon() value should match
+
+  tester.inputs({"input", "gamma", "beta", "FBN_01/mean", "FBN_01/variance"});
+  tester.output("FBN_01");
+  tester.run(nodedef, graphbuilder);
+
+  auto test_node = dynamic_cast<moco::TFFusedBatchNorm *>(tester.output());
+  ASSERT_NE(test_node, nullptr);
+  ASSERT_EQ(test_node->epsilon(), 0.001f);
+}