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-rw-r--r--tests/validation/NEON/DetectionPostProcessLayer.cpp2
-rw-r--r--tests/validation/NEON/QLSTMLayerNormalization.cpp4
2 files changed, 3 insertions, 3 deletions
diff --git a/tests/validation/NEON/DetectionPostProcessLayer.cpp b/tests/validation/NEON/DetectionPostProcessLayer.cpp
index a166402a79..7d725327b7 100644
--- a/tests/validation/NEON/DetectionPostProcessLayer.cpp
+++ b/tests/validation/NEON/DetectionPostProcessLayer.cpp
@@ -150,7 +150,7 @@ inline void base_test_case(DetectionPostProcessLayerInfo info, DataType data_typ
quantize_and_fill_tensor(Accessor(anchors), anchors_vector);
}
- // Determine the output through the Neon kernel
+ // Determine the output through the Compute Library operator
Tensor output_boxes;
Tensor output_classes;
Tensor output_scores;
diff --git a/tests/validation/NEON/QLSTMLayerNormalization.cpp b/tests/validation/NEON/QLSTMLayerNormalization.cpp
index 617f64ce1d..9738213114 100644
--- a/tests/validation/NEON/QLSTMLayerNormalization.cpp
+++ b/tests/validation/NEON/QLSTMLayerNormalization.cpp
@@ -167,7 +167,7 @@ TEST_SUITE(Quantized)
TEST_SUITE(QSYMM16)
/** Tests will be targetting
- * - Comparison between Neon kernel and the exact same but scalar version of reference kernel
+ * - Comparison between optimized kernel and the exact same but scalar version of reference kernel
* - Input shapes of 1D and 2D with the first dimension covers boundary values of 128-bit vector size (0~3 iterations)
* - Weight and bias 1D shape that have same size as that of input shapes
* - Quantization scale is greater and smaller than one.
@@ -179,7 +179,7 @@ TEST_SUITE(QSYMM16)
* - The algorithm has been sensitive to quantization scale but it is hard to fully test
* the sensitivity due to aforementioned reason.
* - Again, it is hard to fully test corner values due to the exact same algorithm of the
- * reference kernel and the Neon kernel.
+ * reference kernel and the optimized kernel.
*/
constexpr uint32_t qsymm16_per_vector = vector_size_byte / sizeof(int16_t);