5be26a7e0b
update PyTorch version to 2.1.0.dev20230730 ( #2356 )
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- torch version: 2.1.0.dev20230730
- torch commit hash: 0ff243ff350268cc98fe03fa6364375ee2824742
- torchvision version: 0.16.0.dev20230730
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-30 07:53:47 -07:00
fbdcf1e3c1
update PyTorch version to 2.1.0.dev20230729 ( #2354 )
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- torch version: 2.1.0.dev20230729
- torch commit hash: b638df0afb83572724032c824c64e481bb4499a0
- torchvision version: 0.16.0.dev20230729
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-29 07:38:05 -07:00
16923fdbd2
[Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op ( #2340 )
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[Stablehlo] Add converter to stablehlo for aten.(Int,Float,Bool).Tensor op and configure crashing e2e sets for stablehlo backend.
2023-07-29 21:55:49 +08:00
0109bf705b
[MLIR][TORCH] Fix aten.cumsum lowering for int32 input ( #2351 )
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Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2023-07-28 09:45:12 -07:00
c19fda4f17
update PyTorch version to 2.1.0.dev20230728 ( #2353 )
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- torch version: 2.1.0.dev20230728
- torch commit hash: eb5cb724fec897b866fd3a05b0c67ab9b23eeb96
- torchvision version: 0.16.0.dev20230728
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-28 07:55:48 -07:00
6aeb1f112f
update PyTorch version to 2.1.0.dev20230727 ( #2352 )
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- torch version: 2.1.0.dev20230727
- torch commit hash: 8a24a912a5f545d18059b59629aa3598f3783f25
- torchvision version: 0.16.0.dev20230727
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-27 08:37:51 -07:00
c7c59b540e
[Stablehlo] support dynamic shape when convert aten.fill.Scalar ( #2349 )
2023-07-27 18:35:25 +08:00
991eba2b51
update PyTorch version to 2.1.0.dev20230726 ( #2348 )
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- torch version: 2.1.0.dev20230726
- torch commit hash: 964a13b3dfbe583fa213fdca12b4a1732b1bb4e6
- torchvision version: 0.16.0.dev20230726
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-26 11:12:21 -07:00
c9f2e8366b
update PyTorch version to 2.1.0.dev20230725 ( #2341 )
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- torch version: 2.1.0.dev20230725
- torch commit hash: 153afbda4b53928e5531f065c02fde1a29f2040a
- torchvision version: 0.16.0.dev20230725
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-25 09:43:31 -07:00
398fa0ef5a
build: update llvm tag to 4592543a01609fe
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- update llvm tag to 4592543a01609feb4b3c19e81a9d54743e15e329
- mhlo now points to f6615343fdab2c74bebd23c78366cf097f9a72df
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2023-07-25 21:15:44 +05:30
0a67411719
test/CAPI/CMakeLists.txt: Depend on FileCheck ( #2329 )
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I saw test failing when FileCheck wasn't already build
2023-07-25 10:11:55 +02:00
c56cb531d5
Ignore constants in the legality error ( #2328 )
2023-07-25 10:11:40 +02:00
31ef08b63d
[Stablehlo]Add support for AvgPool1dOp ( #2268 )
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* Add support for AvgPool1d
* Update AbstractInterpLibrary
* support avgpool1d in linalg
* refactored code
* fix nit problem
2023-07-25 14:09:53 +08:00
d57f67e7f8
[Torch Dialect] emit aten.nonzero, aten.nonzero_numpy, aten.nonzero_static op ( #2338 )
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By the way, this PR also adds the missing shape function for aten.masked_select.
2023-07-25 09:01:19 +08:00
4a96e716c0
Use `register_buffer` to make `Add_Module` test work on lazy tensor ( #2332 )
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Doing `module.to('lazy')` only moves the module member tensors to the
device if they are created with `self.register_buffer` or
`self.register_parameter`. Since the `self.tensor` tensor in
`Add_Module` test is currently not created using the `self.register_*`
methods, it is not being moved from CPU to lazy device, which is
causing the test to fail on LTC backend. This commit uses
`self.register_buffer` to fix the test on LTC backend.
This commit also seems to fix the test for torchdynamo.
2023-07-24 09:07:13 -07:00
ef11a77315
update PyTorch version to 2.1.0.dev20230724 ( #2339 )
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- torch version: 2.1.0.dev20230724
- torch commit hash: ba1da8199b3077b77a78a78e7f0dad166435182f
- torchvision version: 0.16.0.dev20230724
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-24 07:53:09 -07:00
238c0501da
fix cmake torch-mlir-capi linking and bazel build ( #2336 )
2023-07-24 12:38:56 +08:00
026e8db2e4
[Stablehlo] add converter for aten.scatter.src op ( #2295 )
2023-07-24 10:14:45 +08:00
dd0e91b466
update PyTorch version to 2.1.0.dev20230723 ( #2335 )
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- torch version: 2.1.0.dev20230723
- torch commit hash: a060bf3cf05c09906e78d7299efc8184568ea2e1
- torchvision version: 0.16.0.dev20230723
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-23 07:52:27 -07:00
f0d8b6218b
update PyTorch version to 2.1.0.dev20230722 ( #2333 )
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- torch version: 2.1.0.dev20230722
- torch commit hash: b5222f140da05e40ac90ff42bd1db6564343daff
- torchvision version: 0.16.0.dev20230722
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-22 07:53:00 -07:00
fb4c54fbef
update PyTorch version to 2.1.0.dev20230721 ( #2331 )
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- torch version: 2.1.0.dev20230721
- torch commit hash: f228c8b8cac3db634516c7101dee077cbaa026ab
- torchvision version: 0.16.0.dev20230721
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-21 12:23:29 -07:00
3ca35b4f3c
TorchToTosa: aten.embedding: Allow indices with any rank ( #2327 )
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It's actually fine to not check the rank of the indices, because the conversion anyways flattens the index tensor to be (1, numElements) before applying tosa::gather, and then anyways reshapes the output tensor to the output shape of the aten.embedding.
2023-07-21 08:54:19 +02:00
1e468e8294
Fix canonicalization of `torch.prim.TupleUnpack`.
2023-07-20 20:08:46 +02:00
a20422ce65
Support `DerefineOp` in `RefinePublicReturn`.
2023-07-20 20:08:46 +02:00
4847563bed
Clean up verification of calling conventions.
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The implementation at this place was a remnent of the times the pipeline was
run only once.
Rely instead on the backend verification, after optimizations have had an
opportunity to resolve some uncertainties. (e.g. `!torch.optional`).
2023-07-20 20:08:46 +02:00
91a9baa3e7
update PyTorch version to 2.1.0.dev20230720 ( #2326 )
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- torch version: 2.1.0.dev20230720
- torch commit hash: a16c87a767b22dbfa9e9435b1efe699db377ebf5
- torchvision version: 0.16.0.dev20230720
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-20 08:03:47 -07:00
9535be7903
[Torch-Dialect] emit aten.narrow.Tensor op and decompose it to aten.narrow op ( #2297 )
2023-07-20 16:46:44 +08:00
64d7626a52
Fixes for split tensor and slice ( #2314 )
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* RecomposeComplexOps: Remove dead slice op
* lib/Dialect/Torch/IR/TorchOps.cpp: Fold slice ops even when they are on non-value tensors
* lib/Conversion/TorchToTosa/TorchToTosa.cpp: Fix slice start/end out of range/none
* lib/Dialect/Torch/IR/TorchOps.cpp: AtenSliceTensorOp::fold: Fold slices that go from 0:int_max
* More tests for aten.split.Tensor
2023-07-20 09:53:54 +02:00
0650efe7c0
Conform to Python custom exception api
2023-07-19 21:00:55 -05:00
3f843c8fd9
[torch-dialect] fix aten.type_as op's folder ( #2283 )
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[torch-dialect] fix torch.type_as op's folder by decomposing it to prim.dtype + aten.to_dtype
2023-07-20 09:51:58 +08:00
c9add6b7d8
update PyTorch version to 2.1.0.dev20230719 ( #2323 )
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- torch version: 2.1.0.dev20230719
- torch commit hash: 82e03ad95768645f27100929366530f5d62deffe
- torchvision version: 0.16.0.dev20230719
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-19 08:08:15 -07:00
a308a54255
Fixes Windows DLL crash ( #2321 )
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* explicit inliner extension
* fixed import formatting
2023-07-18 19:12:46 -07:00
3b56f97f6f
update PyTorch version to 2.1.0.dev20230718 ( #2318 )
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- torch version: 2.1.0.dev20230718
- torch commit hash: 5e128c4fa1f1217e30c7179aeb5eb5eb95d4dd70
- torchvision version: 0.16.0.dev20230718
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-18 08:21:40 -07:00
0c17997000
Don't crash when the input to aten.copy is unranked ( #2307 )
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This can happen when the input comes from an unsupported operator
2023-07-18 09:52:33 +02:00
718f53ff8a
Fix handling of `!torch.number` in abstract interpretation library ( #2309 )
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In PyTorch, the `NumberType` is equal to `Union[int, float,
complex]`. However, the abstract interpretation library was treating
the `NumberType` as `Union[int, float]`, resulting in type mismatches
when reifying certain dtype functions. This commit fixes the type
inconsistency by having the abstract interpretation functions take as
an input a `Union[int, float, complex]` for the ops that take
`!torch.number` inputs.
2023-07-17 09:52:04 -07:00
5706697e0b
[TOSA] Add aten._index_put_impl support ( #2031 )
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Add e2e support by add "tosa-to-scf"
2023-07-17 09:51:24 -07:00
ba24a46910
update PyTorch version to 2.1.0.dev20230717 ( #2315 )
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- torch version: 2.1.0.dev20230717
- torch commit hash: c437a4b1e0da5c00c15c983fecfeedb81b2355f5
- torchvision version: 0.16.0.dev20230717
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-17 07:48:34 -07:00
06c9bd08e0
lib/Conversion/TorchToTosa/TorchToTosa.cpp: Fix legalization of comparions where the input type is bool ( #2304 )
2023-07-17 09:49:04 +02:00
d69b6bd587
update PyTorch version to 2.1.0.dev20230716 ( #2312 )
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- torch version: 2.1.0.dev20230716
- torch commit hash: c69b6e5da6f5892c2b2bd5fbf28dd5b568de362f
- torchvision version: 0.16.0.dev20230716
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-16 07:51:23 -07:00
27455500c3
update PyTorch version to 2.1.0.dev20230715 ( #2311 )
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- torch version: 2.1.0.dev20230715
- torch commit hash: 6db8e8b9b7ae2232c3ab0eb7fe19830357695c7d
- torchvision version: 0.16.0.dev20230715
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-15 09:26:34 -07:00
bcbfeecae0
update PyTorch version to 2.1.0.dev20230714 ( #2308 )
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- torch version: 2.1.0.dev20230714
- torch commit hash: d257917ad4e5bb1b848f7857026191b61efb2294
- torchvision version: 0.16.0.dev20230714
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-14 08:29:41 -07:00
48383554da
TorchToTosa: Legalization for torch.aten.sqrt ( #2234 )
2023-07-14 08:23:10 +02:00
7f6b72aec8
[Torch Dialect] add runtime.assert to check constraint when recomposing complex ops ( #2281 )
2023-07-14 10:13:19 +08:00
50f5b658b6
update PyTorch version to 2.1.0.dev20230713 ( #2303 )
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- torch version: 2.1.0.dev20230713
- torch commit hash: fccac344dff905c235681c7eb1b567d45f45edb6
- torchvision version: 0.16.0.dev20230713
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-13 10:49:33 -07:00
f8e75f659d
Add make_fx_tosa variant to end2end tests ( #2240 )
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* Add make_fx_tosa variant to end2end tests
* e2e_testing/xfail_sets.py: Add make_fx_tosa xfail for stable
2023-07-13 15:07:54 +02:00
91c6454618
Filter out empty strings while generting function signature
2023-07-13 13:51:54 +05:30
c23a61f4b6
DecomposeComplexOps: Use static shape if available ( #2289 )
2023-07-12 10:07:30 +02:00
bbd3094c2f
update PyTorch version to 2.1.0.dev20230711 ( #2299 )
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- torch version: 2.1.0.dev20230711
- torch commit hash: 927dc662386af052018212c7d01309a506fc94cd
- torchvision version: 0.16.0.dev20230711
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-11 12:34:22 -07:00
17669391b3
update PyTorch version to 2.1.0.dev20230710 ( #2296 )
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- torch version: 2.1.0.dev20230710
- torch commit hash: 69565763c841e4e8d07fd338c9bf6515005b3880
- torchvision version: 0.16.0.dev20230710
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-10 06:54:40 -07:00
6a072d4f4a
[Stablehlo] AtenEmptyMemoryFormat remove device cpu check ( #2288 )
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* remove cpu check
* update dtype
---------
Co-authored-by: zhekun.zhang <zhekun.zhang@bytedance.com>
2023-07-10 15:36:21 +08:00
Sean Silva
Jiawei Wu
Vivek Khandelwal
Yuanqiang Liu
Gaurav Shukla
Matthias Gehre
JianzheXiao
Ramiro Leal-Cavazos
Alexandre Rames
max
AyaanShah2204
Chi_Liu
Tiago Trevisan Jost
nithinsubbiah
Zhekun Zhang