Port RESIZE_BILINEAR kernel to TFL micro
diff --git a/tensorflow/lite/micro/kernels/resize_bilinear.cc b/tensorflow/lite/micro/kernels/resize_bilinear.cc
new file mode 100644
index 0000000..6caadbf
--- /dev/null
+++ b/tensorflow/lite/micro/kernels/resize_bilinear.cc
@@ -0,0 +1,112 @@
+/* Copyright 2021 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 "tensorflow/lite/kernels/internal/reference/resize_bilinear.h"
+
+#include "tensorflow/lite/c/builtin_op_data.h"
+#include "tensorflow/lite/c/common.h"
+#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
+#include "tensorflow/lite/kernels/kernel_util.h"
+#include "tensorflow/lite/kernels/op_macros.h"
+#include "tensorflow/lite/micro/kernels/kernel_util.h"
+#include "tensorflow/lite/micro/micro_utils.h"
+
+namespace tflite {
+namespace {
+
+constexpr int kInputTensor = 0;
+constexpr int kSizeTensor = 1;
+constexpr int kOutputTensor = 0;
+
+TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
+ TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
+ TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
+
+ const TfLiteTensor* input = GetInput(context, node, kInputTensor);
+ const TfLiteTensor* size = GetInput(context, node, kSizeTensor);
+ TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
+
+ TF_LITE_ENSURE_EQ(context, NumDimensions(input), 4);
+ TF_LITE_ENSURE_EQ(context, NumDimensions(size), 1);
+
+ TF_LITE_ENSURE_EQ(context, size->type, kTfLiteInt32);
+ output->type = input->type;
+
+ TF_LITE_ENSURE_MSG(context, IsConstantTensor(size),
+ "Non constant size tensor not supported");
+
+ // Ensure params are valid.
+ auto* params =
+ reinterpret_cast<TfLiteResizeBilinearParams*>(node->builtin_data);
+ if (params->half_pixel_centers && params->align_corners) {
+ TF_LITE_KERNEL_LOG(
+ context, "If half_pixel_centers is True, align_corners must be False.");
+ return kTfLiteError;
+ }
+
+ return kTfLiteOk;
+}
+
+TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
+ auto* params =
+ reinterpret_cast<TfLiteResizeBilinearParams*>(node->builtin_data);
+
+ const TfLiteEvalTensor* input =
+ tflite::micro::GetEvalInput(context, node, kInputTensor);
+ const TfLiteEvalTensor* size =
+ tflite::micro::GetEvalInput(context, node, kSizeTensor);
+ TfLiteEvalTensor* output =
+ tflite::micro::GetEvalOutput(context, node, kOutputTensor);
+
+ if (output->type == kTfLiteFloat32) {
+#define TF_LITE_RESIZE_BILINEAR(opname, datatype) \
+ tflite::ResizeBilinearParams op_params; \
+ op_params.align_corners = params->align_corners; \
+ op_params.half_pixel_centers = params->half_pixel_centers; \
+ reference_ops::opname(op_params, tflite::micro::GetTensorShape(input), \
+ tflite::micro::GetTensorData<datatype>(input), \
+ tflite::micro::GetTensorShape(size), \
+ tflite::micro::GetTensorData<int32_t>(size), \
+ tflite::micro::GetTensorShape(output), \
+ tflite::micro::GetTensorData<datatype>(output))
+
+ TF_LITE_RESIZE_BILINEAR(ResizeBilinear, float);
+ } else if (output->type == kTfLiteInt8) {
+ TF_LITE_RESIZE_BILINEAR(ResizeBilinearInteger, int8_t);
+ } else if (output->type == kTfLiteInt16) {
+ TF_LITE_RESIZE_BILINEAR(ResizeBilinearInteger, int16_t);
+#undef TF_LITE_RESIZE_BILINEAR
+ } else {
+ TF_LITE_KERNEL_LOG(context, "Output type is %d, requires float or int8.",
+ output->type);
+ return kTfLiteError;
+ }
+
+ return kTfLiteOk;
+}
+
+} // namespace
+
+TfLiteRegistration Register_RESIZE_BILINEAR() {
+ return {/*init=*/nullptr,
+ /*free=*/nullptr,
+ /*prepare=*/Prepare,
+ /*invoke=*/Eval,
+ /*profiling_string=*/nullptr,
+ /*builtin_code=*/0,
+ /*custom_name=*/nullptr,
+ /*version=*/0};
+}
+
+} // namespace tflite
