From c690d52bdd137ed6a17353aa7af35e8141ece77b Mon Sep 17 00:00:00 2001
From: Chunseok Lee <chunseok.lee@samsung.com>
Date: Wed, 7 Sep 2022 19:04:21 +0900
Subject: Imported Upstream version 1.21.0

---
 .../src/kernels/ResizeBilinear.cpp                 | 74 ++++++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 compiler/luci-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp

(limited to 'compiler/luci-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp')

diff --git a/compiler/luci-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp b/compiler/luci-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp
new file mode 100644
index 000000000..e2ddd6a7b
--- /dev/null
+++ b/compiler/luci-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp
@@ -0,0 +1,74 @@
+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2019 The TensorFlow Authors. 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/ResizeBilinear.h"
+
+#include "kernels/Utils.h"
+
+#include "PALResizeBilinear.h"
+
+namespace luci_interpreter
+{
+namespace kernels
+{
+
+ResizeBilinear::ResizeBilinear(const Tensor *input, const Tensor *size, Tensor *output,
+                               const ResizeBilinearParams &params)
+  : KernelWithParams<ResizeBilinearParams>({input, size}, {output}, params)
+{
+}
+
+void ResizeBilinear::configure()
+{
+  LUCI_INTERPRETER_CHECK(input()->shape().num_dims() == 4);
+  LUCI_INTERPRETER_CHECK(size()->shape().num_dims() == 1);
+  LUCI_INTERPRETER_CHECK(size()->element_type() == DataType::S32);
+  if (params().half_pixel_centers && params().align_corners)
+    throw std::runtime_error("If half_pixel_centers is True, align_corners must be False.");
+  LUCI_INTERPRETER_CHECK(size()->shape().dim(0) == 2);
+  Shape output_shape(4);
+  output_shape.dim(0) = input()->shape().dim(0);
+  output_shape.dim(1) = getTensorData<int32_t>(size())[0];
+  output_shape.dim(2) = getTensorData<int32_t>(size())[1];
+  output_shape.dim(3) = input()->shape().dim(3);
+  output()->resize(output_shape);
+}
+
+void ResizeBilinear::execute() const
+{
+  tflite::ResizeBilinearParams op_params{};
+  op_params.align_corners = params().align_corners;
+  op_params.half_pixel_centers = params().half_pixel_centers;
+  switch (output()->element_type())
+  {
+    case DataType::FLOAT32:
+      luci_interpreter_pal::ResizeBilinear(
+        op_params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(size()),
+        getTensorData<int32_t>(size()), getTensorShape(output()), getTensorData<float>(output()));
+      break;
+    case DataType::U8:
+      luci_interpreter_pal::ResizeBilinear(
+        op_params, getTensorShape(input()), getTensorData<uint8_t>(input()), getTensorShape(size()),
+        getTensorData<int32_t>(size()), getTensorShape(output()), getTensorData<uint8_t>(output()));
+      break;
+    default:
+      throw std::runtime_error("Unsupported type.");
+  }
+}
+
+} // namespace kernels
+} // namespace luci_interpreter
-- 
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