Merge branch 'ci/sync_gh_tflite-lib' into 'master'

Update tflite-lib (synced from github) - 538339

See merge request app-frameworks/tflite-micro-esp-examples!98

Author: vikramdattu

components/tflite-lib/tensorflow/lite/micro/kernels/activations.cc

@@ -109,11 +109,11 @@ TfLiteStatus Relu6Eval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace
 
-TfLiteRegistration_V1 Register_RELU() {
+TFLMRegistration Register_RELU() {
   return tflite::micro::RegisterOp(ReluInit, ReluPrepare, ReluEval);
 }
 
-TfLiteRegistration_V1 Register_RELU6() {
+TFLMRegistration Register_RELU6() {
   return tflite::micro::RegisterOp(Relu6Init, Relu6Prepare, Relu6Eval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/add.cc

@@ -193,7 +193,7 @@ TfLiteStatus AddEval(TfLiteContext* context, TfLiteNode* node) {
   return kTfLiteOk;
 }
 
-TfLiteRegistration_V1 Register_ADD() {
+TFLMRegistration Register_ADD() {
   return tflite::micro::RegisterOp(AddInit, AddPrepare, AddEval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/add.h

@@ -20,6 +20,7 @@ limitations under the License.
 
 #include "tensorflow/lite/c/builtin_op_data.h"
 #include "tensorflow/lite/c/common.h"
+#include "tensorflow/lite/micro/micro_common.h"
 
 namespace tflite {
 
@@ -60,17 +61,17 @@ TfLiteStatus CalculateOpDataAdd(TfLiteContext* context, TfLiteAddParams* params,
 TfLiteStatus AddPrepare(TfLiteContext* context, TfLiteNode* node);
 
 // Generic must define registration function.
-TfLiteRegistration_V1 Register_ADD();
+TFLMRegistration Register_ADD();
 
 #if defined(CMSIS_NN)
-TfLiteRegistration_V1 Register_ADD_INT8();
+TFLMRegistration Register_ADD_INT8();
 
-TfLiteRegistration_V1 Register_ADD_INT16();
+TFLMRegistration Register_ADD_INT16();
 #else
 // Fallback registration
-inline TfLiteRegistration_V1 Register_ADD_INT8() { return Register_ADD(); }
+inline TFLMRegistration Register_ADD_INT8() { return Register_ADD(); }
 
-inline TfLiteRegistration_V1 Register_ADD_INT16() { return Register_ADD(); }
+inline TFLMRegistration Register_ADD_INT16() { return Register_ADD(); }
 #endif
 }  // namespace tflite
 

components/tflite-lib/tensorflow/lite/micro/kernels/add_n.cc

@@ -208,7 +208,7 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace
 
-TfLiteRegistration_V1 Register_ADD_N() {
+TFLMRegistration Register_ADD_N() {
   return tflite::micro::RegisterOp(nullptr, Prepare, Eval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/arg_min_max.cc

@@ -107,11 +107,11 @@ TfLiteStatus ArgMaxEval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace
 
-TfLiteRegistration_V1 Register_ARG_MAX() {
+TFLMRegistration Register_ARG_MAX() {
   return tflite::micro::RegisterOp(nullptr, nullptr, ArgMaxEval);
 }
 
-TfLiteRegistration_V1 Register_ARG_MIN() {
+TFLMRegistration Register_ARG_MIN() {
   return tflite::micro::RegisterOp(nullptr, nullptr, ArgMinEval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/assign_variable.cc

@@ -100,7 +100,7 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace.
 
-TfLiteRegistration_V1 Register_ASSIGN_VARIABLE() {
+TFLMRegistration Register_ASSIGN_VARIABLE() {
   return tflite::micro::RegisterOp(nullptr, Prepare, Eval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/batch_to_space_nd.cc

@@ -105,7 +105,7 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace.
 
-TfLiteRegistration_V1 Register_BATCH_TO_SPACE_ND() {
+TFLMRegistration Register_BATCH_TO_SPACE_ND() {
   return tflite::micro::RegisterOp(nullptr, Prepare, Eval);
 }
 

components/tflite-lib/tensorflow/lite/micro/kernels/broadcast_args.cc

@@ -83,7 +83,7 @@ TfLiteStatus BroadcastArgsEval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace
 
-TfLiteRegistration_V1 Register_BROADCAST_ARGS() {
+TFLMRegistration Register_BROADCAST_ARGS() {
   return tflite::micro::RegisterOp(nullptr, BroadcastArgsPrepare,
                                    BroadcastArgsEval);
 }

components/tflite-lib/tensorflow/lite/micro/kernels/broadcast_to.cc

@@ -107,15 +107,15 @@ TfLiteStatus BroadcastToEval(TfLiteContext* context, TfLiteNode* node) {
       micro::GetEvalInput(context, node, kInputTensor);
   TfLiteEvalTensor* output = micro::GetEvalOutput(context, node, kOutputTensor);
 
-  // BroadcastTo op support upto 5 dims, different from 8 dims in TFLite.
+  // BroadcastTo op support up to 5 dims, different from 8 dims in TFLite.
   reference_ops::BroadcastTo<kMaxDims>(
       micro::GetTensorShape(input), input->data.raw,
       micro::GetTensorShape(output), output->data.raw, input->type);
   return kTfLiteOk;
 }
 }  // namespace
 
-TfLiteRegistration_V1 Register_BROADCAST_TO() {
+TFLMRegistration Register_BROADCAST_TO() {
   return tflite::micro::RegisterOp(nullptr, BroadcastToPrepare,
                                    BroadcastToEval);
 }

components/tflite-lib/tensorflow/lite/micro/kernels/call_once.cc

@@ -81,7 +81,7 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
 
 }  // namespace.
 
-TfLiteRegistration_V1 Register_CALL_ONCE() {
+TFLMRegistration Register_CALL_ONCE() {
   return tflite::micro::RegisterOp(Init, Prepare, Eval);
 }