diff options
Diffstat (limited to 'tests/validation')
4 files changed, 5 insertions, 5 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); diff --git a/tests/validation/fixtures/DepthConvertLayerFixture.h b/tests/validation/fixtures/DepthConvertLayerFixture.h index 937a1a06a9..7ec35b4ea8 100644 --- a/tests/validation/fixtures/DepthConvertLayerFixture.h +++ b/tests/validation/fixtures/DepthConvertLayerFixture.h @@ -67,7 +67,7 @@ protected: } else { - // When converting S32 to F16, both reference and Neon implementations are + or - infinity outside the F16 range. + // When converting S32 to F16, both reference and Compute Library implementations are + or - infinity outside the F16 range. if(dt_in == DataType::S32 && dt_out == DataType::F16) { std::uniform_int_distribution<int32_t> distribution_s32(-65504, 65504); diff --git a/tests/validation/reference/UtilsQuantizedAsymm.h b/tests/validation/reference/UtilsQuantizedAsymm.h index 25873acc93..1f593bb696 100644 --- a/tests/validation/reference/UtilsQuantizedAsymm.h +++ b/tests/validation/reference/UtilsQuantizedAsymm.h @@ -40,7 +40,7 @@ inline int32_t asymm_rounding_divide_by_pow2(int32_t x, int exponent) return (x >> exponent) + ((x & mask) > threshold ? 1 : 0); } -/** Multiplication of two integers. The same as ARMv7 Neon VQRDMULH instruction. */ +/** Multiplication of two integers. The same as ARMv7 Arm® Neon™ VQRDMULH instruction. */ inline int32_t asymm_int_mult(int32_t a, int32_t b) { bool overflow = a == b && a == std::numeric_limits<int32_t>::min(); |