From: Inki Dae <inki.dae@samsung.com>
Date: Tue, 25 Apr 2023 04:27:54 +0000 (+0900)
Subject: coverity issue fix
X-Git-Tag: accepted/tizen/7.0/unified/20230920.022050^0
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=refs%2Fheads%2Ftizen_7.0;p=platform%2Fcore%2Fmultimedia%2Finference-engine-mlapi.git

coverity issue fix

[Version] : 0.4.10
[Issue type] : bug fix

Fix a coverity issue - Out-of-bounds access.

NNStreamer uses a fixed tensor demension with 16 so correct the indims
and outdims array size.

Change-Id: I9569398df8d29ed5b1b3a1a9ee84290aa2e1fee0
Signed-off-by: Inki Dae <inki.dae@samsung.com>
---

diff --git a/packaging/inference-engine-mlapi.spec b/packaging/inference-engine-mlapi.spec
index ad18b74..d2ea2d9 100644
--- a/packaging/inference-engine-mlapi.spec
+++ b/packaging/inference-engine-mlapi.spec
@@ -1,6 +1,6 @@
 Name:       inference-engine-mlapi
 Summary:    ML Single API backend of NNStreamer for MediaVision
-Version:    0.4.9
+Version:    0.4.10
 Release:    0
 Group:      Multimedia/Libraries
 License:    Apache-2.0
diff --git a/src/inference_engine_mlapi.cpp b/src/inference_engine_mlapi.cpp
index 4f3adfc..7fbf997 100644
--- a/src/inference_engine_mlapi.cpp
+++ b/src/inference_engine_mlapi.cpp
@@ -176,8 +176,8 @@ namespace MLAPIImpl
 				return INFERENCE_ENGINE_ERROR_INVALID_OPERATION;
 			}
 
-			// TODO. nnstreamer needs fixed dimention with 4 for nntrainer tensor filter. Why??
-			std::vector<unsigned int> indim(4, 1);
+			// NNStreamer uses a fixed dimention with 16.
+			std::vector<unsigned int> indim(ML_TENSOR_RANK_LIMIT, 1);
 
 			LOGI("Input tensor(%zu) shape:", layer_idx);
 
@@ -616,7 +616,7 @@ namespace MLAPIImpl
 		for (auto& output : mDesignated_outputs) {
 			inference_engine_tensor_info tensor_info;
 			ml_tensor_type_e out_type;
-			unsigned int out_dim[MAX_TENSOR_DIMENSION_SIZE];
+			unsigned int out_dim[ML_TENSOR_RANK_LIMIT];
 			size_t out_size = 1;
 
 			ret = ml_tensors_info_get_tensor_type(mOutputInfoHandle, output.second, &out_type);