[nnfeapi] Add one-op test for InstanceNorm (#4587)

Add basic one-op test for InstanceNorm.

ONE-DCO-1.0-Signed-off-by: Hanjoung Lee <hanjoung.lee@samsung.com>

3 files changed, 67 insertions, 0 deletions

diff --git a/tests/nnfw_api/src/CircleGen.cc b/tests/nnfw_api/src/CircleGen.cc
index 211c07d3d..70a5bd325 100644
--- a/tests/nnfw_api/src/CircleGen.cc
+++ b/tests/nnfw_api/src/CircleGen.cc
@@ -264,6 +264,14 @@ uint32_t CircleGen::addOperatorIf(const OperatorParams &params, uint32_t then_su
                                 circle::BuiltinOptions_IfOptions, options);
 }
 
+uint32_t CircleGen::addOperatorInstanceNorm(const OperatorParams &params, float epsilon,
+                                            circle::ActivationFunctionType actfn)
+{
+  auto options = circle::CreateInstanceNormOptions(_fbb, epsilon, actfn).Union();
+  return addOperatorWithOptions(params, circle::BuiltinOperator_INSTANCE_NORM,
+                                circle::BuiltinOptions_InstanceNormOptions, options);
+}
+
 uint32_t CircleGen::addOperatorTranspose(const OperatorParams &params)
 {
   auto options = circle::CreateTransposeOptions(_fbb).Union();
diff --git a/tests/nnfw_api/src/CircleGen.h b/tests/nnfw_api/src/CircleGen.h
index 8ed17a10b..6cc881984 100644
--- a/tests/nnfw_api/src/CircleGen.h
+++ b/tests/nnfw_api/src/CircleGen.h
@@ -148,6 +148,8 @@ public:
   uint32_t addOperatorEqual(const OperatorParams &params);
   uint32_t addOperatorFullyConnected(const OperatorParams &params);
   uint32_t addOperatorIf(const OperatorParams &params, uint32_t then_subg, uint32_t else_subg);
+  uint32_t addOperatorInstanceNorm(const OperatorParams &params, float epsilon,
+                                   circle::ActivationFunctionType actfn);
   uint32_t addOperatorL2Normalization(const OperatorParams &params);
   uint32_t addOperatorLeakyRelu(const OperatorParams &params, float alpha);
   uint32_t addOperatorLess(const OperatorParams &params);
diff --git a/tests/nnfw_api/src/one_op_tests/InstanceNorm.cc b/tests/nnfw_api/src/one_op_tests/InstanceNorm.cc
new file mode 100644
index 000000000..6569ced21
--- /dev/null
+++ b/tests/nnfw_api/src/one_op_tests/InstanceNorm.cc
@@ -0,0 +1,57 @@
+/*
+ * Copyright (c) 2020 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 "GenModelTest.h"
+
+TEST_F(GenModelTest, OneOp_InstanceNorm)
+{
+  CircleGen cgen;
+  uint32_t beta_buf = cgen.addBuffer(std::vector<float>{1});
+  uint32_t gamma_buf = cgen.addBuffer(std::vector<float>{2});
+  int beta = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, beta_buf});
+  int gamma = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, gamma_buf});
+  int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
+  int out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorInstanceNorm({{in, beta, gamma}, {out}}, 0, circle::ActivationFunctionType_NONE);
+  cgen.setInputsAndOutputs({in}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(uniformTCD<float>({{1, 1, 1, 1}}, {{2, 2, 2, 2}}));
+  _context->setBackends({"acl_cl", "acl_neon"});
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, neg_OneOp_InstanceNorm_InvalidActivation)
+{
+  CircleGen cgen;
+  uint32_t beta_buf = cgen.addBuffer(std::vector<float>{1});
+  uint32_t gamma_buf = cgen.addBuffer(std::vector<float>{2});
+  int beta = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, beta_buf});
+  int gamma = cgen.addTensor({{1}, circle::TensorType::TensorType_FLOAT32, gamma_buf});
+  int in = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
+  int out = cgen.addTensor({{1, 2, 2, 1}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorInstanceNorm({{in, beta, gamma}, {out}}, 0,
+                               static_cast<circle::ActivationFunctionType>(128) /* Invalid value*/);
+  cgen.setInputsAndOutputs({in}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->expectFailModelLoad();
+
+  SUCCEED();
+}