277   auto* output_tensor = mTfliteInterpreter->tensor(output);  in saveInferenceOutput()  local
279   sink.insert(sink.end(), output_tensor->data.uint8,  in saveInferenceOutput()
280               output_tensor->data.uint8 + output_tensor->bytes);  in saveInferenceOutput()
286   auto* output_tensor = mTfliteInterpreter->tensor(output);  in getOutputError()  local
287   if (output_tensor->bytes != length) {  in getOutputError()
289           output_tensor->bytes, length);  in getOutputError()
295   switch (output_tensor->type) {  in getOutputError()
298       elements_count = output_tensor->bytes;  in getOutputError()
299       for (size_t i = 0; i < output_tensor->bytes; ++i) {  in getOutputError()
309       elements_count = output_tensor->bytes / sizeof(float);  in getOutputError()
310       for (size_t i = 0; i < output_tensor->bytes / sizeof(float); ++i) {  in getOutputError()
318       FATAL("Output sensor type %d not supported", output_tensor->type);  in getOutputError()
741         auto* output_tensor = mTfliteInterpreter->tensor(tensor_index);  in dumpAllLayers()  local
742         if (output_tensor->data.raw == nullptr) {  in dumpAllLayers()
751         fwrite(output_tensor->data.raw, output_tensor->bytes, 1, f);  in dumpAllLayers()