fixing tensorutils definitions to return void*

hpvm/include/nvdla/tensorUtils.h

@@ -15,9 +15,9 @@ std::string model_params_path = "../../test/dnn_benchmarks/model_params/";
 
 
 
-__attribute__((noinline)) struct Tensor *readTrainedWeights(const char *file_name, int data_type,
-							    long int dim1_size, long int dim2_size,
-							    long int dim3_size, long int dim4_size) {
+__attribute__((noinline)) void *readTrainedWeights(const char *file_name, int data_type,
+						   long int dim1_size, long int dim2_size,
+						   long int dim3_size, long int dim4_size) {
   
   int type_size = 4; // NOTE: Assuming floating point tensors
   long int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
@@ -45,9 +45,9 @@ __attribute__((noinline)) struct Tensor *readTrainedWeights(const char *file_nam
 }
 
 
-__attribute__((noinline)) struct Tensor *readInputBatch(const char *file_name, long data_type,
-							long start, long end,
-							long dim2_size, long dim3_size, long dim4_size) {
+__attribute__((noinline)) void * readInputBatch(const char *file_name, long data_type,
+						long start, long end,
+						long dim2_size, long dim3_size, long dim4_size) {
   long int dim1_size = end - start;
   // FIXIT: Don't assume floating point types
   long int type_size = 4; // NOTE: Assuming floating point tensors