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[ONNX] [Relay] Dynamic squeeze - #9095
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mbrookhart
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It looks like there are a couple of formatting/lint issues, and there's one print still in here, but otherwise LGTM
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AndrewZhaoLuo
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LGTM mostly. A few comments
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AndrewZhaoLuo
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Sep 23, 2021
Please also change the title of this PR to something like "[ONNX] [Relay] Dynamic Squeeze" |
AndrewZhaoLuo
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Thanks for the changes, LGTM
* main: (37 commits) [ONNX] [Relay] Dynamic squeeze (apache#9095) [Meta Schedule][M3b] Database (apache#9061) [Bugfix] Add nullptr checking for `AttrStmt` with `coproc_uop_scope` attr key (apache#9123) [Codegen] Swap out analyzer when outlining (apache#9117) [CI] bash.sh, build.sh: add option to set the container name and hostname (apache#9110) Ensure google-mock is installed and setup (apache#9107) Arm(R) Ethos(TM)-U NPU TIR to CS for Conv2D (apache#8811) Frontend: add onnx GlobalLpPool op (apache#8845) [LLVM] Refactor MakeCallPacked, NFC (apache#9118) prevent casting handle to other types (apache#9114) fix annotation of tir generic (apache#9119) [Relay] Register layout conversion function to more reduce ops (apache#9048) Fix the missing `dtype` attribute of `tir.Shuffle` in Python level (apache#9131) add `multiply` and remove `subtract` for dnnl json runtime (apache#9120) relu of dnnl json runtime only support 4-dims input (apache#9122) [Meta Schedule][M3a] SpaceGenerator (apache#9079) [TensorIR][Bugfix] Disallow fusing loops with dependency (apache#9112) adding Jorn to reviewers list (apache#9105) [BYOC] Fix incorrect conv2d padding handling of `dnnl with c source runtime` (apache#9097) [Frontend][TFLite] fixapache#9078 (apache#9099) ...
* adding dynamic squeeze first steps * Matt B. implementing shape * squeeze implemented, dynamic_to_static and onnx importer next * add Squeeze op convert to onnx.py * dynamic to static * removed comments * removed comments * added comment * adjusted comment * black and lint * ran make format in root directory Co-authored-by: CircleSpin <jocelyn@pop-os.localdomain>
* adding dynamic squeeze first steps * Matt B. implementing shape * squeeze implemented, dynamic_to_static and onnx importer next * add Squeeze op convert to onnx.py * dynamic to static * removed comments * removed comments * added comment * adjusted comment * black and lint * ran make format in root directory Co-authored-by: CircleSpin <jocelyn@pop-os.localdomain>
@AndrewZhaoLuo@anwang2009@mbrookhart