Michael Voznesensky
41c3b41b92
Use dynamo fake tensor mode in aot_autograd, move aot_autograd compilation to lowering time [Merger of 89672 and 89773] ( #90039 )
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After all of the preparatory commits, this is a subset of the
changes in https://github.com/pytorch/pytorch/pull/89392 that actually
change us to propagating fake tensors to backends.
Signed-off-by: Edward Z. Yang <ezyangfb.com>
This is the merger of Ed's PR #89672 , which is a rewrite of an older PR of mine (#89392 ), with CI Fixes on top of it (#89773 )
Pull Request resolved: https://github.com/pytorch/pytorch/pull/90039
Approved by: https://github.com/ezyang
2022-12-05 01:56:50 +00:00
PyTorch MergeBot
4648baa911
Revert "Use dynamo fake tensor mode in aot_autograd, move aot_autograd compilation to lowering time [Merger of 89672 and 89773] ( #90039 )"
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This reverts commit ef0c7ec958 .
Reverted https://github.com/pytorch/pytorch/pull/90039 on behalf of https://github.com/clee2000 due to broke xla tests ef0c7ec958 https://github.com/pytorch/pytorch/actions/runs/3606308473/jobs/6077646142
2022-12-04 21:57:30 +00:00
Michael Voznesensky
ef0c7ec958
Use dynamo fake tensor mode in aot_autograd, move aot_autograd compilation to lowering time [Merger of 89672 and 89773] ( #90039 )
...
After all of the preparatory commits, this is a subset of the
changes in https://github.com/pytorch/pytorch/pull/89392 that actually
change us to propagating fake tensors to backends.
Signed-off-by: Edward Z. Yang <ezyangfb.com>
This is the merger of Ed's PR #89672 , which is a rewrite of an older PR of mine (#89392 ), with CI Fixes on top of it (#89773 )
Pull Request resolved: https://github.com/pytorch/pytorch/pull/90039
Approved by: https://github.com/ezyang
2022-12-03 01:19:55 +00:00
Yanbo Liang
d88b555577
[Dynamo] Fix source/reconstruction bugs in NNModule named_* calls ( #89729 )
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Fixes https://github.com/pytorch/torchdynamo/issues/1931
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89729
Approved by: https://github.com/ezyang
2022-11-30 06:05:47 +00:00
Edward Z. Yang
856e2fa59c
Guard traceable_tensor_subclasses patching with finally ( #89689 )
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Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89689
Approved by: https://github.com/albanD , https://github.com/anjali411
2022-11-28 14:48:12 +00:00
Animesh Jain
30d9fb9157
[dynamo][reland] API Support for nn.Module ( #89113 )
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Fixes #ISSUE_NUMBER
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89113
Approved by: https://github.com/ezyang
2022-11-17 02:03:48 +00:00
PyTorch MergeBot
98bcb4acb6
Revert "[reland][dynamo] Better support for nn.Module ( #88959 )"
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This reverts commit e950afc395 .
Reverted https://github.com/pytorch/pytorch/pull/88959 on behalf of https://github.com/malfet due to Broke `test_accuracy_issue1`
2022-11-13 16:21:14 +00:00
Animesh Jain
e950afc395
[reland][dynamo] Better support for nn.Module ( #88959 )
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Relanding https://github.com/pytorch/pytorch/pull/88629
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88959
Approved by: https://github.com/msaroufim
2022-11-13 08:19:45 +00:00
PyTorch MergeBot
ae2c668cc0
Revert "[dynamo][api] Better support of torch.nn.Module ( #88629 )"
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This reverts commit c83348597b .
Reverted https://github.com/pytorch/pytorch/pull/88629 on behalf of https://github.com/anijain2305 due to job failing on master https://github.com/pytorch/pytorch/actions/runs/3449914495/jobs/5758267231
2022-11-12 07:52:56 +00:00
Animesh Jain
c83348597b
[dynamo][api] Better support of torch.nn.Module ( #88629 )
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This is an API change, so please review carefully.
With this PR, torchdynamo returns an `OptimizedModule` class object, a subclass of `torch.nn.Module`, when asked to optimize a `nn.Module` object. Most of the methods are redirected to the original `nn.Module`, which is installed as `_mod` in the `OptimizedModule`.
This is helpful for many cases
```
mod = MockModule()
opt_mod = torch._dynamo.optimize()(mod)
print(opt_mod) # Works
opt_mod = opt_mod.to(device="cuda")
print(opt_mod) # Works
opt_mod(input) # Triggers recompile if necessary, earlier we were shedding the TorchDynamo wrapper
opt_mod.parameters() # Refers to the original module
```
Topics unclear to me
* I have overridden many methods to raise NotImplementedError. A careful review of those will be good.
* hooks
* For the optimized forward, should we call torchdynamo optimization on `__call__` or `forward`
* What else to test
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88629
Approved by: https://github.com/Chillee , https://github.com/jansel , https://github.com/msaroufim
2022-11-12 04:45:17 +00:00
Michael Voznesensky
2b03a941f7
[dynamo] graph capture for calls to arbitrary self. methods on nn module ( #87040 )
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Fixes #ISSUE_NUMBER
Pull Request resolved: https://github.com/pytorch/pytorch/pull/87040
Approved by: https://github.com/jansel
2022-10-18 16:54:40 +00:00
Jason Ansel
8f71e8de7e
Sync changes from pytorch/torchdynamo, enable tests ( #86950 )
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/86950
Approved by: https://github.com/Chillee
2022-10-14 23:08:58 +00:00
Jason Ansel
c7c09722ad
Move TorchDynamo into PyTorch core ( #86461 )
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Context:
https://github.com/pytorch/torchdynamo/issues/1588
This PR moves [TorchDynamo](https://github.com/pytorch/torchdynamo ) and TorchInductor into PyTorch core.
- `torchdynamo` becomes `torch._dynamo`
- `torchinductor` becomes `torch._inductor`
This PR was generated by running `copy_to_core.sh` in https://github.com/pytorch/torchdynamo/pull/1538
Pull Request resolved: https://github.com/pytorch/pytorch/pull/86461
Approved by: https://github.com/voznesenskym
2022-10-13 23:18:06 +00:00