tflite_micro_person_detection_init

components/tflite_micro/tensorflow/lite/micro/kernels/ceil.cc

@@ -0,0 +1,74 @@
+/* Copyright 2018 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/ceil.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/micro/kernels/kernel_util.h"
+
+namespace tflite {
+namespace ops {
+namespace micro {
+namespace ceil {
+
+constexpr int kInputTensor = 0;
+constexpr int kOutputTensor = 0;
+
+TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
+  const TfLiteTensor* input = GetInput(context, node, kInputTensor);
+  TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
+  TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
+  TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
+  TF_LITE_ENSURE_TYPES_EQ(context, input->type, kTfLiteFloat32);
+  TF_LITE_ENSURE_TYPES_EQ(context, output->type, input->type);
+  TF_LITE_ENSURE_EQ(context, output->bytes, input->bytes);
+  TF_LITE_ENSURE_EQ(context, output->dims->size, input->dims->size);
+  for (int i = 0; i < output->dims->size; ++i) {
+    TF_LITE_ENSURE_EQ(context, output->dims->data[i], input->dims->data[i]);
+  }
+  return kTfLiteOk;
+}
+
+TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
+  const TfLiteEvalTensor* input =
+      tflite::micro::GetEvalInput(context, node, kInputTensor);
+  TfLiteEvalTensor* output =
+      tflite::micro::GetEvalOutput(context, node, kOutputTensor);
+
+  reference_ops::Ceil(tflite::micro::GetTensorShape(input),
+                      tflite::micro::GetTensorData<float>(input),
+                      tflite::micro::GetTensorShape(output),
+                      tflite::micro::GetTensorData<float>(output));
+
+  return kTfLiteOk;
+}
+}  // namespace ceil
+
+TfLiteRegistration Register_CEIL() {
+  return {/*init=*/nullptr,
+          /*free=*/nullptr,
+          /*prepare=*/ceil::Prepare,
+          /*invoke=*/ceil::Eval,
+          /*profiling_string=*/nullptr,
+          /*builtin_code=*/0,
+          /*custom_name=*/nullptr,
+          /*version=*/0};
+}
+
+}  // namespace micro
+}  // namespace ops
+}  // namespace tflite