[inductor] Add constant_to_device for ir.Constant #108087
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Fixes error with: ``` TORCHINDUCTOR_MAX_AUTOTUNE=1 TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1 TORCHINDUCTOR_MAX_AUTOTUNE_GEMM=1 ./benchmarks/dynamo/torchbench.py --inference --performance --no-skip --inductor --freezing --only pyhpc_turbulent_kinetic_energy ``` [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/108087
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit c400ecd with merge base 7ef13b1 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Fixes error with: ``` TORCHINDUCTOR_MAX_AUTOTUNE=1 TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1 TORCHINDUCTOR_MAX_AUTOTUNE_GEMM=1 ./benchmarks/dynamo/torchbench.py --inference --performance --no-skip --inductor --freezing --only pyhpc_turbulent_kinetic_energy ``` cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 ipiszy ngimel yf225 chenyang78 kadeng muchulee8 aakhundov [ghstack-poisoned]
jansel
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Fixes error with: ``` TORCHINDUCTOR_MAX_AUTOTUNE=1 TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1 TORCHINDUCTOR_MAX_AUTOTUNE_GEMM=1 ./benchmarks/dynamo/torchbench.py --inference --performance --no-skip --inductor --freezing --only pyhpc_turbulent_kinetic_energy ``` ghstack-source-id: 37946d5 Pull Request resolved: #108087
eellison
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Aug 28, 2023
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
This was referenced Aug 28, 2023
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This is one (but not all) issues in DALLE2_pytorch Pull Request resolved: #108098 Approved by: https://github.com/eellison ghstack dependencies: #108096, #108087
pytorchmergebot
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Fixes:
```python
CUDA_LAUNCH_BLOCKING=1 ./benchmarks/dynamo/torchbench.py --inference --performance --no-skip --inductor --freezing --only nanogpt_generate
loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
loading model: 0it [00:07, ?it/s]
cuda eval nanogpt_generate
ERROR:common:Backend dynamo failed in warmup()
Traceback (most recent call last):
File "/data/users/jansel/pytorch/torch/_inductor/cudagraph_trees.py", line 1084, in _record
static_outputs = model(inputs)
File "/data/users/jansel/pytorch/torch/_inductor/codecache.py", line 401, in _run_from_cache
return compiled_graph.compiled_artifact(inputs)
File "/tmp/torchinductor_jansel/db/cdbk4ip3fucyoccnbnoik2crjpdkliwxll653l7l3wwsxiygmade.py", line 18375, in call
buf239 = aten.multinomial.default(buf238, 1)
File "/data/users/jansel/pytorch/torch/_ops.py", line 448, in __call__
return self._op(*args, **kwargs or {})
RuntimeError: CUDA error: operation not permitted when stream is capturing
```
Pull Request resolved: #108105
Approved by: https://github.com/eellison
ghstack dependencies: #108096, #108087, #108098
jansel
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This was referenced Aug 29, 2023
atalman
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Sep 5, 2023
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Stack from ghstack (oldest at bottom):
Fixes error with:
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @ngimel @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov