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authorAnthony Barbier <anthony.barbier@arm.com>2018-11-30 17:20:26 +0000
committerAnthony Barbier <Anthony.barbier@arm.com>2018-12-03 11:48:39 +0000
commit08a4517905da959b6e3401cc24f5e2018f9b51ac (patch)
tree9f6e2343ff22a53526a2f04e1ad22ecd91262767 /SConstruct
parent164a2727d3bbce0e575d24b7db787c85e2e2c203 (diff)
downloadComputeLibrary-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>
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