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authorGian Marco <gianmarco.iodice@arm.com>2017-12-16 19:33:50 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:33 +0000
commit1d25ed54a948639d1894c8b021940df70005d519 (patch)
tree96a29126c5b61299d64496fad7f6844412ab2cca /arm_compute/runtime/CL/functions/CLConvolutionLayer.h
parent57b20109108a90113d29d21ce7d3c873ff19749c (diff)
downloadComputeLibrary-1d25ed54a948639d1894c8b021940df70005d519.tar.gz
COMPMID-759 - CLGEMM optimization for McVail benchmarks
This patch introduces an optimization for CLGEMM on Bifrost architectures which can bring to 40% of FMA utilization on config 3 of McVail. The new CLGEMM does not require any reshape of matrix A and matrix B. This patch also adds the auto-config in CLConvolutionLayer and CLGEMM and extends the interface for NEGEMM and CLGEMM. Change-Id: Ibb354eda45e9ca64b14a99700fb21dff5989dda9 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113716 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLConvolutionLayer.h3
1 files changed, 1 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index a8a04a0bbf..3fe6604db9 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -138,10 +138,9 @@ private:
CLTensor _gemm_output;
CLTensor _tmp_output;
- bool _append_bias;
- bool _is_fully_connected_convolution;
bool _are_weights_reshaped;
bool _is_quantized;
+ bool _is_interleaved_transposed;
};
}
#endif /* __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ */