[compute/cker] Fix RMSNorm shape assert error (#14247)

* [compute/cker] Fix RMSNorm shape assert error

This commit fixes shape assert error when running model including RMSNorm operation.

ONE-DCO-1.0-Signed-off-by: Seockho Kim [email protected]

* [compute/cker] Add RMSNorm unittests

Unit test added for RMSNorm to test rank 3 input.

ONE-DCO-1.0-Signed-off-by: Seockho Kim [email protected]

Author: seockho-kim

compute/cker/include/cker/operation/RmsNorm.h

@@ -68,9 +68,9 @@ inline void RmsNorm(const RmsNormParams &params, const Shape &input_shape, const
   }
   else if (input_shape.DimensionsCount() == 3)
   {
-    const int32_t heights = MatchingDim(input_shape, 1, output_shape, 0);
-    const int32_t widths = MatchingDim(input_shape, 2, output_shape, 1);
-    const int32_t channels = MatchingDim(input_shape, 3, output_shape, 2);
+    const int32_t heights = MatchingDim(input_shape, 0, output_shape, 0);
+    const int32_t widths = MatchingDim(input_shape, 1, output_shape, 1);
+    const int32_t channels = MatchingDim(input_shape, 2, output_shape, 2);
 
     for (int32_t height = 0; height < heights; height++)
     {

compute/cker/src/RmsNorm.test.cc

@@ -43,7 +43,7 @@ TEST(CKer_Operation, RmsNorm)
       EXPECT_NEAR(output[i], expected_output[i], 1e-5f);
   }
 
-  // Default gamma
+  // rank 4
   {
     std::vector<float> input = {0, 1, 2, 3, 4, 5, 6, 7};
     nnfw::cker::Shape input_shape{1, 2, 2, 2};
@@ -65,6 +65,29 @@ TEST(CKer_Operation, RmsNorm)
     for (size_t i = 0; i < expected_output.size(); ++i)
       EXPECT_NEAR(output[i], expected_output[i], 1e-5f);
   }
+
+  // rank 3
+  {
+    std::vector<float> input = {0, 1, 2, 3, 4, 5, 6, 7};
+    nnfw::cker::Shape input_shape{2, 2, 2};
+
+    std::vector<float> expected_output = {0,        1.412802, 0.784404, 1.176606,
+                                          0.883431, 1.104288, 0.920347, 1.073738};
+    std::vector<float> output(expected_output.size());
+    nnfw::cker::Shape output_shape{2, 2, 2};
+
+    std::vector<float> gamma = {1, 1};
+    nnfw::cker::Shape gamma_shape{2};
+
+    nnfw::cker::RmsNormParams param;
+    param.epsilon = 0.001f;
+
+    nnfw::cker::RmsNorm(param, input_shape, input.data(), gamma_shape, gamma.data(), output_shape,
+                        output.data());
+
+    for (size_t i = 0; i < expected_output.size(); ++i)
+      EXPECT_NEAR(output[i], expected_output[i], 1e-5f);
+  }
 }
 
 TEST(CKer_Operation, neg_RmsNormWrongInputDims)