Migrate typedef struct {} name -> struct name {} in TFLM (#1311)

Co-authored-by: Nmergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

tensorflow/lite/micro/kernels/ceva/types.h

@@ -49,7 +49,7 @@ enum class BroadcastableOpCategory : uint8_t {
 };
 #endif
 
-typedef struct {
+struct ArithmeticParams_ceva {
   // Shape dependent / common to data / op types.
   uint8_t broadcast_category;  // BroadcastableOpCategory broadcast_category;
   // uint8_t inference params.
@@ -81,7 +81,7 @@ typedef struct {
   // broadcast_shape[1] = a3; b3 = 1.
   // broadcast_shape[0] = b4 = a4.
   int broadcast_shape[5];
-} ArithmeticParams_ceva;
+};
 
 struct SoftmaxParams_ceva {
   // beta is not really used (not a Tensorflow parameter) and not implemented
@@ -122,7 +122,7 @@ struct PaddingValues_ceva {
   int16_t height_offset;
 };
 
-typedef struct {
+struct StridedSliceParams_ceva {
   int8_t start_indices_count;
   int32_t start_indices[5];
   int8_t stop_indices_count;
@@ -135,7 +135,7 @@ typedef struct {
   int16_t end_mask;
   int16_t new_axis_mask;
   int16_t shrink_axis_mask;
-} StridedSliceParams_ceva;
+};
 
 struct PoolParams_ceva {
   FusedActivationFunctionType_ceva activation;

tensorflow/lite/micro/kernels/unidirectional_sequence_lstm_test_config.h

@@ -24,7 +24,7 @@ namespace testing {
 // kernel is reconciled with reference kernel
 #if !defined(XTENSA)
 
-typedef struct LstmIntegerTestConfig {
+struct LstmIntegerTestConfig {
   const int n_batch;
   const int n_input;
   const int n_cell;
@@ -100,9 +100,9 @@ typedef struct LstmIntegerTestConfig {
 
   bool asymmetric_quantize_inputs;
   const float ranges[25][2];
-} LstmIntegerTestConfig;
+};
 
-typedef struct LstmFloatTestConfig {
+struct LstmFloatTestConfig {
   const int n_batch;
   const int n_input;
   const int n_cell;
@@ -153,9 +153,9 @@ typedef struct LstmFloatTestConfig {
   float* output;
   const float* expected_output_original;
   float* expected_output;
-} LstmFloatTestConfig;
+};
 
-typedef struct LstmWeightQuantizationBuffers {
+struct LstmWeightQuantizationBuffers {
   int8_t* lstm_i2i_quant;
   float* lstm_i2i_scale;
   int* lstm_i2i_zp;
@@ -215,7 +215,7 @@ typedef struct LstmWeightQuantizationBuffers {
   float* lstm_proj_w_scale;
   int* lstm_proj_w_zp;
   TfLiteAffineQuantization* lstm_proj_w_qparam;
-} LstmWeightQuantizationBuffers;
+};
 
 extern LstmIntegerTestConfig lstm_integer_no_peephole_config;
 

tensorflow/lite/micro/micro_allocator.h

@@ -54,7 +54,7 @@ TfLiteStatus InitializeTfLiteTensorFromFlatbuffer(
 // of a sequential, array of ScratchBufferHandle allocations in the tail
 // section. These allocations are indexed by the request API defined in the
 // TfLiteContext struct.
-typedef struct {
+struct ScratchBufferRequest {
   // Number of bytes required by the buffer. The actual allocated size might be
   // greater than `bytes` due to buffer alignment.
   size_t bytes;
@@ -63,29 +63,29 @@ typedef struct {
   // have `before` = node_idx and `after` = node_idx.
   int node_idx;
   int subgraph_idx;
-} ScratchBufferRequest;
+};
 
 }  // namespace internal
 
-typedef struct {
+struct NodeAndRegistration {
   TfLiteNode node;
   const TfLiteRegistration* registration;
-} NodeAndRegistration;
+};
 
 // Holds a pointer to a buffer for a scratch buffer requested by a kernel during
 // the model prepare stage. This struct is allocated in-place and allows for
 // quick pointer-indexed lookup for speed during model inference.
-typedef struct {
+struct ScratchBufferHandle {
   // Pointer to location of the scratch buffer:
   uint8_t* data;
-} ScratchBufferHandle;
+};
 
 // Stores all per-subgraph allocations. This includes the node and registration
 // array, tensor list and scratch buffer handles for each subgraph.
-typedef struct {
+struct SubgraphAllocations {
   NodeAndRegistration* node_and_registrations;
   TfLiteEvalTensor* tensors;
-} SubgraphAllocations;
+};
 
 // Allocator responsible for allocating memory for all intermediate tensors
 // necessary to invoke a model.