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intentional compiler error to make sure xtensa workflow is working as expected. #185

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intentional compiler error to make sure xtensa workflow is working as expected. #185

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11 changes: 5 additions & 6 deletions tensorflow/lite/micro/kernels/xtensa/conv.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@ See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/lite/micro/kernels/conv.h"
#include "tensorflow/lite/kernels/internal/reference/conv.h"

#include "tensorflow/lite/c/builtin_op_data.h"
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/reference/conv.h"
#include "tensorflow/lite/kernels/internal/reference/integer_ops/conv.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include "tensorflow/lite/kernels/padding.h"
#include "tensorflow/lite/micro/kernels/conv.h"
#include "tensorflow/lite/micro/kernels/kernel_util.h"
#include "tensorflow/lite/micro/kernels/xtensa/fixedpoint_utils.h"
#include "tensorflow/lite/micro/kernels/xtensa/xtensa.h"
Expand All @@ -32,10 +32,9 @@ limitations under the License.
namespace tflite {
namespace {

void* Init(TfLiteContext* context, const char* buffer, size_t length) {
TFLITE_DCHECK(context->AllocatePersistentBuffer != nullptr);
return context->AllocatePersistentBuffer(context, sizeof(XtensaConvOpData));
}
void* Init(TfLiteContext* context, const char* buffer, size_t length){
TFLITE_DCHECK(context->AllocatePersistentBuffer != nullptr) return context
->AllocatePersistentBuffer(context, sizeof(XtensaConvOpData))}

TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_ENSURE_OK(context, ConvPrepare(context, node));
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