[Strategy] Disable cuda int8 schedule for non-cuda gpu target #9014
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* main: (102 commits) Implementation of relay_to_tir target hook (apache#8423) [Onnx] Fix NLL Loss tests (apache#8971) [Bugfix] Fix other div zero errors also in rewrite_simplify (apache#8983) [ONNX] enable the onnx tests after PR apache#8274 merged (apache#9019) [Hexagon] Disable `thread_local` on Hexagon (apache#9025) [Hexagon] Allow undefined symbols in libtvm_runtime.so on Hexagon (apache#9024) [Onnx] Add momentum (apache#9000) fix (apache#9021) [Community] @AndrewZhaoLuo -> Reviewer (apache#9020) [Hexagon] Implement model launcher (apache#8986) [Relay][Pass] Add ExtractOperators pass (apache#8996) [BYOC][TensorRT] Add TensorRT own int8 calibration support to TensorRT BYOC integration (apache#8808) [ONNX] Add Einsum converter (apache#8985) Add standalone_crt/ to be part of the wheel package, when available. (apache#9005) [Relay] Remove memory planing from LowerTEPass (apache#8974) [Hexagon] Treat floats as float32 when passing args to offloaded kernels (apache#9010) [Runtime] Pipeline Executor Initial patch. (apache#8702) [Hexagon] `llvm-options` attribute is an array of strings (apache#9011) disable cuda int8 schedule for non-cuda gpu target (apache#9014) [Torch] Add an option to make imported models compatible with the Relay text parser (apache#9015) ...
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Int8 convolution is currently broken for non-cuda GPU targets, because the int8 specific conv2d schedule uses an intrinsic only available on CUDA.
tvm/python/tvm/topi/cuda/conv2d_int8.py
Line 314 in a993321
This fixes one of tests that are currently broken for vulkan #8903.
@vinx13 @Lunderberg @tmoreau89