Imported Upstream version 1.11.0upstream/1.11.0

1 files changed, 99 insertions, 0 deletions

diff --git a/compiler/luci-interpreter/src/kernels/StridedSlice.test.cpp b/compiler/luci-interpreter/src/kernels/StridedSlice.test.cpp
new file mode 100644
index 000000000..66dffcaf2
--- /dev/null
+++ b/compiler/luci-interpreter/src/kernels/StridedSlice.test.cpp
@@ -0,0 +1,99 @@
+/*
+ * 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 "kernels/StridedSlice.h"
+#include "kernels/TestUtils.h"
+
+namespace luci_interpreter
+{
+namespace kernels
+{
+namespace
+{
+
+using namespace testing;
+
+TEST(StridedSliceTest, Float)
+{
+  Shape input_shape{2, 3, 2};
+  std::vector<float> input_data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+  Shape begin_shape{3};
+  std::vector<int32_t> begin_data{0, 0, 0};
+  Shape end_shape{3};
+  std::vector<int32_t> end_data{1, 3, 2};
+  Shape strides_shape{3};
+  std::vector<int32_t> strides_data{1, 1, 1};
+  Tensor input_tensor = makeInputTensor<DataType::FLOAT32>(input_shape, input_data);
+  Tensor begin_tensor = makeInputTensor<DataType::S32>(begin_shape, begin_data);
+  Tensor end_tensor = makeInputTensor<DataType::S32>(end_shape, end_data);
+  Tensor strides_tensor = makeInputTensor<DataType::S32>(strides_shape, strides_data);
+  Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
+
+  StridedSliceParams params{};
+  params.begin_mask = 0;
+  params.end_mask = 0;
+  params.ellipsis_mask = 0;
+  params.new_axis_mask = 0;
+  params.shrink_axis_mask = 1;
+
+  StridedSlice kernel(&input_tensor, &begin_tensor, &end_tensor, &strides_tensor, &output_tensor,
+                      params);
+  kernel.configure();
+  kernel.execute();
+
+  std::vector<int32_t> output_shape{3, 2};
+  std::vector<float> output_data{1, 2, 3, 4, 5, 6};
+  EXPECT_THAT(extractTensorData<float>(output_tensor), FloatArrayNear(output_data));
+  EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(output_shape));
+}
+
+TEST(StridedSliceTest, Uint8)
+{
+  Shape input_shape{2, 3, 2};
+  std::vector<float> input_data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+  Shape begin_shape{3};
+  std::vector<int32_t> begin_data{0, 0, 0};
+  Shape end_shape{3};
+  std::vector<int32_t> end_data{1, 3, 2};
+  Shape strides_shape{3};
+  std::vector<int32_t> strides_data{1, 1, 1};
+  Tensor input_tensor = makeInputTensor<DataType::U8>(input_shape, 1.0f, 0, input_data);
+  Tensor begin_tensor = makeInputTensor<DataType::S32>(begin_shape, begin_data);
+  Tensor end_tensor = makeInputTensor<DataType::S32>(end_shape, end_data);
+  Tensor strides_tensor = makeInputTensor<DataType::S32>(strides_shape, strides_data);
+  Tensor output_tensor = makeOutputTensor(DataType::U8, 1.0f, 0);
+
+  StridedSliceParams params{};
+  params.begin_mask = 0;
+  params.end_mask = 0;
+  params.ellipsis_mask = 0;
+  params.new_axis_mask = 0;
+  params.shrink_axis_mask = 1;
+
+  StridedSlice kernel(&input_tensor, &begin_tensor, &end_tensor, &strides_tensor, &output_tensor,
+                      params);
+  kernel.configure();
+  kernel.execute();
+
+  std::vector<int32_t> output_shape{3, 2};
+  std::vector<float> output_data{1, 2, 3, 4, 5, 6};
+  EXPECT_THAT(dequantizeTensorData(output_tensor), FloatArrayNear(output_data));
+  EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(output_shape));
+}
+
+} // namespace
+} // namespace kernels
+} // namespace luci_interpreter