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Libin dev #1
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1. Support new op where 2. Support cast op "to bool" mode 3. Support slice op "multi step" mode Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
feat: Support new op where and more mode for op cast and slice See merge request applied-machine-learning/sysml/mace!1470
Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
Fix: fix APU memory leak problem
Fix: fix output node memory be reuse issue See merge request applied-machine-learning/sysml/mace!1477
Fix: fix half error when validate layer mode. See merge request applied-machine-learning/sysml/mace!1478
Fix: fix arm-linux-gnueabihf convert problem when generator libmace_static or convert running on cpu See merge request applied-machine-learning/sysml/mace!1479
Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
fix: Fix maxPooling op accuracy loss issue See merge request applied-machine-learning/sysml/mace!1480
desc: 1.Support htp fp16 for transformer net 2.Disable gpu when htp, because dma-buf not need it 3.Fix data format issue at validate mode 4.Add transpose op for onnx-htp, because Conv is NHWC, but MatMul is NCHW 5.Add TRANSFORM_BIASADD_TO_ADD, because htp not support biasadd 6.Add TRANSFORM_SLICE_TO_STRIDED_SLICE, change to htp StridedSlice format 7.Add some log for debug Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
feat: Support htp fp16 mode See merge request applied-machine-learning/sysml/mace!1482
Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
feat: upgrade qnn to 1.11.0 See merge request applied-machine-learning/sysml/mace!1483
Signed-off-by: yuanlonglong <yuanlonglong@xiaomi.com>
fix: qnn: fix reduce and conv2d bug See merge request applied-machine-learning/sysml/mace!1484
Signed-off-by: wenshuai <wenshuai@xiaomi.com>
feat: add EltwiseType of SQR_DIFF and output qnn log by VLOG. See merge request applied-machine-learning/sysml/mace!1486
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