Fix build error aarch64 and x86_64 27/237227/1 accepted/tizen/unified/20200628.221629 submit/tizen/20200626.060446 submit/tizen/20200626.070253
authorInki Dae <inki.dae@samsung.com>
Fri, 26 Jun 2020 06:00:59 +0000 (15:00 +0900)
committerInki Dae <inki.dae@samsung.com>
Fri, 26 Jun 2020 06:00:59 +0000 (15:00 +0900)
Change-Id: I4aa50fce7ed7b9c822a505be5d21f17bb5f040e9
Signed-off-by: Inki Dae <inki.dae@samsung.com>
src/inference_engine_mlapi.cpp

index ae8c740..0b620f5 100644 (file)
@@ -267,7 +267,7 @@ namespace MLAPIImpl
                                LOGI("%u", in_dim[shape_idx]);
                        }
 
-                       LOGI("input tensor size = %u", in_size);
+                       LOGI("input tensor size = %zu", in_size);
 
                        ret = ml_tensors_info_get_tensor_name(in_info, i, &in_name);
                        if (ret != ML_ERROR_NONE) {
@@ -534,7 +534,7 @@ namespace MLAPIImpl
                }
 
                for (unsigned int i = 0; i < cnt; ++i) {
-                       LOGI("index(%d) : buffer = %p, size = %u\n", i,
+                       LOGI("index(%d) : buffer = %p, size = %zu\n", i,
                                 input_buffers[i].buffer, input_buffers[i].size);
                        err = ml_tensors_data_set_tensor_data(input_data, i,
                                                                                                  input_buffers[i].buffer,
@@ -563,7 +563,7 @@ namespace MLAPIImpl
                        return INFERENCE_ENGINE_ERROR_INVALID_OPERATION;
                }
 
-               LOGI("Output tensor = %u", output_buffers[0].size);
+               LOGI("Output tensor = %zu", output_buffers[0].size);
                LOGI("LEAVE");
 
                return INFERENCE_ENGINE_ERROR_NONE;