aboutsummaryrefslogtreecommitdiff
path: root/src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp
diff options
context:
space:
mode:
authorViet-Hoa Do <viet-hoa.do@arm.com>2022-06-01 11:47:14 +0100
committerViet-Hoa Do <viet-hoa.do@arm.com>2022-11-28 16:57:42 +0000
commit03b2971ac69a86f10a1566938d1a25afee15746c (patch)
treeaec7cfc047e1da278b4b71a706cda7b1b0faa158 /src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp
parent7dc0234331f2150a6b4ac5c2b49de419870f7cf5 (diff)
downloadComputeLibrary-03b2971ac69a86f10a1566938d1a25afee15746c.tar.gz
Integrate SME2 kernels
* Add SME/SME2 detection. * Integrate SME2 implementation for: - Normal convolution - Winograd - Depthwise convolution - Pooling Resolves: COMPMID-5700 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I2f1ca1d05f8cfeee9309ed1c0a36096a4a6aad5c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8692 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp')
-rw-r--r--src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp21
1 files changed, 21 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp b/src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp
index 470cee1557..e7346e8039 100644
--- a/src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp
+++ b/src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp
@@ -30,6 +30,7 @@
#include "bfloat.hpp"
#include "convolver.hpp"
#include "kernel_weight_format.hpp"
+#include "kernel_traits.hpp"
#include "mergeresults.hpp"
#include "performance_parameters.hpp"
#include "quantized.hpp"
@@ -576,6 +577,26 @@ class GemmInterleaved : public GemmCommon<To, Tr> {
return get_ktotal(args);
}
+ // Special blocking for SME
+ if (is_sme<strategy>::value) {
+ // Don't bother to block below this size threshold, experimentally determined to be 320 for FP32
+ unsigned int scaling_threshold = 1280 / sizeof(Toi);
+
+ if (get_ktotal(args) <= scaling_threshold) {
+ return get_ktotal(args);
+ }
+
+ // Once we are blocking, this (lower) threshold determines when we should use more blocks
+ // NOTE: Could be that some factor-based solution would work better here.
+ unsigned int max_block_size = 1024 / sizeof(Toi);
+
+ unsigned int num_k_blocks = iceildiv(get_ktotal(args), max_block_size);
+
+ unsigned int k_block = roundup(iceildiv(get_ktotal(args), num_k_blocks), strategy::k_unroll());
+
+ return k_block;
+ }
+
const unsigned int L1_size = args._ci->get_L1_cache_size();
unsigned int k_block;