Commit Graph

11 Commits (9cac480a18f05188a6f289477174ecf3186a7603)

Author SHA1 Message Date
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
Ramiro Leal-Cavazos 09ca07bca0
`m_TorchConstant{Int/Bool}List` -> `m_TorchListOfConstant{Int/Bool}s` (#1601)
This commit renames the patterns used to match on lists of constant
values to `m_TorchListOfConstant{valueType}s`. This is needed to avoid
ambiguity for when `valueType` has `Optional` in it. In particular, it
makes it clear whether the values in the list are optional or the list
itself is optional.
2022-11-16 20:33:12 +00:00
Ramiro Leal-Cavazos b723186983
Remove all but one of valsem ops + move fill.Scalar to elementwise (#1531)
This commit removes almost all of the valsem ops, since the value
semantics version of the ops now exist in PyTorch. The only op missing
is `aten.bernoulli_.float`. In addition, this commit also simplifies
the implementation of `aten.fill.Scalar` by moving it to the pattern
that converts elementwise ops.
2022-10-28 15:06:11 +00:00
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 2b1b0f6e19 [LINALG] Add support for preserve memory format in aten_empty_like op.
The preserve memory specifies that `If any of the input tensors is in channels_last format,
operator output should be in channels_last format` and hence can be
added as is in aten_empty_like op.
2022-05-10 09:37:55 +05:30
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
Prashant Kumar 1d5b5a89e8 [LINALG] Add torch.layout information
torch.layout information has been added.
2022-04-07 20:47:49 +05:30
Vivek Khandelwal 2597c481f6 [MLIR][TORCH] Add E2E support for aten.new_empty op
This commit decomposes `aten.new_empty` op into `aten.empty.memory_format` op.

This commit also made a dtype fix to the constant tensor allocation like ops.
Earlier the dtype for the result was inferred from the result type; now, it's
being evaluated as per the original definition of the op.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-30 13:21:01 +05:30
Sean Silva 92da4988f0 Improve "pseudo" op terminology.
The term "pseudo" is very vague and was getting confusing (I felt I had
to explain it in every comment referencing it). Instead, rework the
"pseudo" ops to instead be named:

- MLIR Syntax: `torch.valsem.*`
- C++ / ODS: `ValsemVariant*Op`

This makes it clear what the concept is, and avoids confusion with other
things that might be called "pseudo", since these are very specific and
should be 100% consistently named w.r.t. the non-valsem-variant ops that
they correspond to.
2022-03-15 17:57:52 -07:00
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