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Add default for split op #9489
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Add default for split op #9489
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anwang2009
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Huyuwei,
jwfromm,
kazum,
mbrookhart,
siju-samuel and
srkreddy1238
as code owners
November 10, 2021 19:33
Can you add a test that hits this case? Otherwise LGTM |
anwang2009
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areusch,
comaniac,
icemelon,
jroesch,
junrushao,
merrymercy,
tqchen and
yzhliu
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November 10, 2021 22:22
mbrookhart
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Nov 10, 2021
AndrewZhaoLuo
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* main: (119 commits) [Topi][Op][PyTorch][Vitas] Fix inconsistent kernel layout conventions for conv2d_transpose (apache#9336) Fix repository URL in ubuntu_install_rocm.sh (apache#9425) Add LLVM-13 installation to Docker setup (apache#9498) [Relay] Use target_host determined at Relay level instead of recalculating it (apache#9499) Arm(R) Ethos(TM)-U NPU BinaryElementwise operators support (apache#9442) [COMMUNITY] Junru's and Wuwei's PGP key for ASF release (apache#9488) Add default for split op (apache#9489) [HOTFIX][TARGET] Change LOG in compilation config to DLOG (apache#9486) Fixed some warnings about lambda's closures that are bigger than necessary (apache#9481) [Support] Add libinfo into the runtime build (apache#9310) Change Call with TIRCallAttrs to call_lowered op (apache#9312) [ETHOSN] Streamline Ethos(TM)-N cross-compile rpc usage (apache#9477) [CMSIS-NN] Assert correct amount of CMSIS-NN artifacts in MLF (apache#9480) [MicroTVM][PyTest] Explicitly skip MicroTVM unittests. (apache#9335) [microNPU] Replace ICHECK with diagnostic context in type inference (apache#9470) Better host handling in CompilationConfig & debug printing (apache#9460) [AOT][Tests] Use pre-built libraries in Reference System tests (apache#9271) [TIR] Add type hint for TIR (apache#9432) [TVMC] Add test for quantized pytorch model (apache#9467) [CMSIS-NN] Convert CMSIS-NN to use Target Hooks (apache#9397) ...
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* split fix * add default split test case
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* split fix * add default split test case
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* split fix * add default split test case
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* split fix * add default split test case
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* split fix * add default split test case
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When the attr.split length is 1 or less, we should fall back to default split behavior -- dividing evenly over the axes, because the split importer drops the first item in the attr.split list. The shape func for split assumes at least one item in the split indices.