[Torch] Frontend update to support PyTorch 1.10#9664
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masahi merged 10 commits intoapache:mainfrom Dec 7, 2021
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comaniac
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LGTM. I guess these changes are backward compatible so this PR can still pass the current CI? If so then I'm totally fine with it. In case something broken with PT 1.10, we will find them out when updating the docker image.
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Yes absolutely, the change is backward compatible. |
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* wip * fixed converting maskrcnn * fixed nll los * fixed linspace * fixed deformable conv2d * control flow and rnn test had no problem * swap more import orders * qmv3 test is having weird segfault * cleanup * black
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* wip * fixed converting maskrcnn * fixed nll los * fixed linspace * fixed deformable conv2d * control flow and rnn test had no problem * swap more import orders * qmv3 test is having weird segfault * cleanup * black
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* wip * fixed converting maskrcnn * fixed nll los * fixed linspace * fixed deformable conv2d * control flow and rnn test had no problem * swap more import orders * qmv3 test is having weird segfault * cleanup * black
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* wip * fixed converting maskrcnn * fixed nll los * fixed linspace * fixed deformable conv2d * control flow and rnn test had no problem * swap more import orders * qmv3 test is having weird segfault * cleanup * black
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* wip * fixed converting maskrcnn * fixed nll los * fixed linspace * fixed deformable conv2d * control flow and rnn test had no problem * swap more import orders * qmv3 test is having weird segfault * cleanup * black
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See #9349
I was originally planning to send this change along with docker image update, but I've been pushing docker update work in favor of other higher priority tasks. Since people might start using TVM with PT 1.10 by now, I thought I'd send frontend update first.
Though the change won't be tested on CI until docker update lands, I've confirmed locally that all tests passed with PT 1.10 using this change (in particular, the MaskRCNN test requires this change). I promise I'll work on docker update this month 😅
What do you think? @comaniac @Laurawly @jcf94