2fbb4c79f0
Fix "unused variable 'outType'" warning ( #2378 )
2023-08-05 07:41:01 +08:00
598d690710
update PyTorch version to 2.1.0.dev20230804 ( #2377 )
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- torch version: 2.1.0.dev20230804
- torch commit hash: 4734e4d60f331bfde1b33cfe8ce91de50c5ce2e1
- torchvision version: 0.16.0.dev20230804
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-08-04 11:22:42 -07:00
20a2b68ed6
[Torch Dialect] emit aten.tile op and decompose it into aten.repeat ( #2355 )
2023-08-04 09:05:34 +08:00
c0d8248ec7
Prevent failed stable CI job from cancelling nightly jobs ( #2373 )
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The CI jobs that use stable PyTorch are currently not required to pass
in order for a patch to get merged in `main`. This commit makes sure
that if a CI job for stable PyTorch fails, it does not cancel the
other required jobs.
2023-08-03 14:58:57 -07:00
8d4f4cb104
update PyTorch version to 2.1.0.dev20230803 ( #2372 )
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- torch version: 2.1.0.dev20230803
- torch commit hash: f89c73be3a3e8274d025ac46a33a780853841c9e
- torchvision version: 0.16.0.dev20230803
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-08-03 11:49:30 -07:00
6db92d1b14
[Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op ( #2358 )
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* [Torch Dialect] emit aten.masked_scatter and aten.masked_scatter_ op
2023-08-03 16:21:14 +08:00
48f4e8f673
Add packaging as an install dependency ( #2369 )
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Needed by `torch_mlir._version`. Resolves #2368 .
2023-08-02 22:25:11 -07:00
22cb0063d6
Add CITATION file ( #2371 )
2023-08-02 14:36:15 -07:00
68f5201b7c
Change Python version from 3.10 to 3.11 in installation instructions ( #2370 )
2023-08-02 14:35:40 -07:00
ca1f0158b3
update PyTorch version to 2.1.0.dev20230802 ( #2366 )
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- torch version: 2.1.0.dev20230802
- torch commit hash: c89b16917755c2abbef7b6420e340baf9ae8089e
- torchvision version: 0.16.0.dev20230802
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-08-02 09:37:14 -07:00
a374c39106
build: update llvm tag to 41895843
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Summary of changes:
- Update tags
llvm: 41895843b5915bb78e9d02aa711fa10f7174db43
mhlo: 4726d31f7025da66de0dea709bd56c462edb83c2
Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2023-08-02 21:18:14 +05:30
fb52a73cbe
LTC->MLIR Debug Info support ( #1922 )
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* LTC->MLIR Debug Info support
* SW-95317 Propagate Lazy->Jit->MLIR scope name.
* Enhance location information based on op names
Currently, the location information attached to the ops just considers
the filename, line number and column number. Attaching operation name
would help identify the type of computation by just looking at the
profile of execution.
* Update locations logic; updated debug-info.py test
* Use {scope}/{op_name} format to track names by default
---------
Co-authored-by: Gleb Kazantaev <gleb.kazantaev@cerebras.net>
Co-authored-by: Mark Browning <mark@cerebras.net>
Co-authored-by: Vimal Patel <vimal@polymagelabs.com>
2023-08-02 10:29:11 -04:00
4c24472dea
update PyTorch version to 2.1.0.dev20230731 ( #2359 )
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- torch version: 2.1.0.dev20230731
- torch commit hash: 6298ac688f8caafe30d71ff2ea2e20fbb32065c7
- torchvision version: 0.16.0.dev20230731
Co-authored-by: Roll PyTorch Action <torch-mlir@users.noreply.github.com>
2023-07-31 07:54:05 -07:00
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
Ramiro Leal-Cavazos
Sean Silva
Jiawei Wu
Jack Wolfard
Vivek Khandelwal
Gleb Kazantaev
Yuanqiang Liu
Gaurav Shukla
Matthias Gehre
JianzheXiao
Alexandre Rames
max
AyaanShah2204
Chi_Liu