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author | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-30 17:20:26 +0000 |
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committer | Anthony Barbier <Anthony.barbier@arm.com> | 2018-12-03 11:48:39 +0000 |
commit | 08a4517905da959b6e3401cc24f5e2018f9b51ac (patch) | |
tree | 9f6e2343ff22a53526a2f04e1ad22ecd91262767 /arm_compute/core/Strides.h | |
parent | 164a2727d3bbce0e575d24b7db787c85e2e2c203 (diff) | |
download | ComputeLibrary-08a4517905da959b6e3401cc24f5e2018f9b51ac.tar.gz |
COMPMID-1497: Use reshaped B strategy in GEMM by default
NELSTM, NEFullyConnectedLayer(For quantised types only), NERNN and NEWinogradLayer were all defaulting to on-the-fly reshaping of B
Fixed a bug in GemmInterleaved: it was ignoring the 'multis' dimension of the tensor to allocate the memory for B reshaped
Change-Id: I7b30f7f57fc65d6a03cccde0bf5515a811f17b54
Reviewed-on: https://review.mlplatform.org/323
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/core/Strides.h')
0 files changed, 0 insertions, 0 deletions