Commit Graph

22 Commits (73bd32d06cffc92dd4056a1a0e41595d85ccb451)

Author SHA1 Message Date
Ramiro Leal-Cavazos dd35488da5
build: update llvm tag to 798fa4b4 (#1684)
- Support for non-prefixed accessors has been removed. See:
  https://reviews.llvm.org/D136727
- Rename `operands` to `methodOperands` in `prim.CallMethod` since the
  name `operands` overlaps with a builtin method name. See:
  https://reviews.llvm.org/D136727
- Add passes in refbackend to lower memref.subview. See:
  https://reviews.llvm.org/D136377
- Replace `CopyToValueTensorOps` first in `RewriteViewLikeSubgraph` in
  maximize-value-semantics.

  The current implementation of the `RewriteViewLikeSubgraph` pass in
  maximize-value-semantics creates temporarily invalid IR. In
  particular, given a forward slice starting from a
  `CopyToNonValueTensorOp` and ending in `CopyToValueTensorOp`s, the
  pass first replaces all uses of the `CopyToNonValueTensorOp` with
  its operand, which results in all the `CopyToValueTensorOp` users
  having their operand have type `!torch.vtensor`, which is invalid.

  The correct way to do things is to first replace all the
  `CopyToValueTensorOp`s with their operand, and then replace all uses
  of the `CopyToNonValueTensorOp` with its operand.

  This only started failing now because the generated accessor
  `getOperand` for the `CopyToValueTensorOp` now returns a
  `TypedValue<NonValueTensorType>`, which has an assert checking that
  the value returned is of the expected type.
2022-12-07 12:20:41 -08:00
Vivek Khandelwal e7edcc62fd build: update llvm tag to 147fe9de
Summary of changes:
- Replace call to `MemoryEffectOpInterface::hasNoEffect`
  with `isMemoryEffectFree`.
- Make fix for the dynamic dims, since
  `kDynamicSize` value changed to
  `std::numeric_limits<int64_t>::min()` from `-1` in llvm
- `makeShapeLLVMCompatible` and `makeShapeTorchCompatible`
  utilities convert shapes in order to remain consistent
  with the Torch and MLIR semantics.
- Update tags
  llvm: 147fe9de29dc13c14835127b35280c4d95c8e8ba
  mhlo: 1944b5fa6062ec4c065d726c9c5d64f1487ee8c5

Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
2022-12-01 13:36:50 +05:30
Sean Silva ecb09c2fc3 [torchdynamo] Fix output size computation for upsample_nearest2d 2022-11-29 01:46:29 -08:00
Vivek Khandelwal d9cbf01d1e Revert "build: update llvm tag to 147fe9de"
This reverts commit e45ad313d4.
2022-11-25 12:41:56 +05:30
Vivek Khandelwal e45ad313d4 build: update llvm tag to 147fe9de
Summary of changes:
- Update call to `hasNoEffect` utility
- `KDynamicSize` value changed to
  `std::numeric_limits<int64_t>::min()` from `-1`
- Update tags
  llvm: 147fe9de29dc13c14835127b35280c4d95c8e8ba
  mhlo: 1944b5fa6062ec4c065d726c9c5d64f1487ee8c5

Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
2022-11-24 12:44:43 +05:30
Abhishek Varma 1d949f3ac2 [MLIR][TORCH] Fix aten.upsample_nearest2d op
-- aten.upsample_nearest2d.vec op is not present
   owing to https://github.com/pytorch/pytorch/pull/85638
-- So this commit adds a lowering on aten.upsample_nearest2d.

Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
2022-11-18 13:41:47 +05:30
Gaurav Shukla 0d209998d1
llvm: update tag to e864ac6945 (#1600)
Summary of changes:
1. Replace `string` iterator types by `IteratorType` enum.
(e6598b053d)
2. Update `includes` wrt new directory layout of MLIR HLO codebase.
(9fd8d251a8)
3. Update tags
   llvm: e864ac694540342d5e59f59c525c5082f2594fb8
   MHLO: eab364ba2a66bd0613efb94f8a738c1c97aaee92

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>

Signed-off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-11-16 14:40:36 -08:00
Vivek Khandelwal a558034c1a [MLIR][TORCH] Fix aten.upsample_nearest2d_backward op
Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
2022-11-12 00:05:36 +05:30
Vivek Khandelwal fedf8c0640 [MLIR][TORCH] Add E2E support for aten.upsample_nearest2d_backward.vec op
Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
2022-11-04 22:10:07 +05:30
Ramiro Leal-Cavazos 82a3860e25
build: update llvm tag to 4546397e (#1502)
This commit makes the following changes needed to update bump LLVM:

- Replace `linalg.init_tensor` with `tensor.empty` (see:
https://reviews.llvm.org/D135129)
- Replace `NoSideEffect` with `Pure` (see
https://reviews.llvm.org/D135505)
- Replace `body` region accessor for `ReduceOp` and `ReduceWindowOp`
with `getBody`
- Fix incorrect use of `tosa::ReduceSumOp` in `AtenNativeLayerNormOp`
conversion pattern. The result type of `tosa::ReduceSumOp` must have
the same rank as the input type. (see:
https://www.mlplatform.org/tosa/tosa_spec.html#_reduce_sum)

Co-authored-by: Ashay Rane <ashay@users.noreply.github.com>

Co-authored-by: Ashay Rane <ashay@users.noreply.github.com>
2022-10-18 04:22:53 +00:00
Ashay Rane faa9a78e38
build: update llvm tag to 6f46ff37 (#1448)
Summary of changes:
 - Updated references to the Arith dialect
   (https://reviews.llvm.org/D134762)
 - Switched to prefixed accessors for MemRef dialect
   (https://reviews.llvm.org/D134995)
 - Fixed warnings about signed/unsigned comparisons, ignored return
   values, and unused variables
2022-10-05 08:28:06 -05:00
Prashant Kumar 6777a9484d [LINALG] Add lowering for the aten.upsample_nearest2d op. 2022-10-04 17:20:29 +05:30
Quinn Dawkins 53bf09ceef
Fix iterator types for embedding bag sum mode (#1371) 2022-09-23 13:13:47 -04:00
Vivek Khandelwal 65d811e267 [MLIR][TORCH] Fix dynamic cases for aten.index.Tensor 2022-08-19 12:13:20 +05:30
Ramiro Leal-Cavazos 9d6ee48661
Fix unused-variables warnings about EmbeddingBag ops (#1220)
According to the documentation for
`torch.embedding_bag` (https://pytorch.org/docs/stable/generated/torch.nn.functional.embedding_bag.html),
the default value for `scale_grad_by_freq` is False.
2022-08-15 09:43:55 -07:00
Vidush Singhal ed13ebfd8d
E2E support for AtenEmbeddingBagPaddingIdxOp SUM Mode (#1066) 2022-08-01 16:44:11 -04:00
Quinn Dawkins 11a8901078
[MLIR][TORCH] Add support for multiple indexing tensors for aten.index.Tensor (#1097)
- Includes a canonicalizer for `aten.add.t`needed for successfully lowering the shape function
 - Only offers support for statically sized index tensors when there is more than one
 - Dynamic shape support remains for single indexing tensors
2022-07-28 19:00:02 -04:00
Quinn Dawkins c73a39e40a Add support for index.Tensor on dimensions other than the first
This patch still only supports a single indexing tensor.
2022-07-19 11:36:52 +05:30
Ramiro Leal-Cavazos 400fecc1e5
[LINALG] Fix shape function of index.Tensor + support N-rank inputs (#972)
This commit fixes the shape function for `index.Tensor`, adding
support for multiple index tensors and `None`s in the indices
list. This commit also adds support for input tensors of rank greater
than 1. The lowering for `index.Tensor` still has the the limitation
that only a single index tensor along the first dimension of the input
tensor is supported.
2022-06-24 09:45:44 -07:00
Ramiro Leal-Cavazos 246c2df65a
[LINALG] Fix typo in conversion pattern of `aten.embedding` (#942) 2022-06-15 09:45:10 -07:00
Prashant Kumar 5cdef0213d [LINALG] Bug fix i64 vs i32 type comparison.
Comparing index type instead of integer types solves the problem.
2022-04-22 08:09:58 +05:30
Sean Silva 5d9222383c Split up TorchToLinalg.cpp
This helps keep things organized and also exposes more parallelism to
the build system. It seems though that most of the compile time is
actually spent in the headers though, so the wall time doesn't decrease
as much as I had hoped (and now that the headers are being included
multiple times, the cpu time actually increases a lot, sadly -- will try
to dig into this).
2022-03-14 10:19:41 -07:00