-- This commit adds e2e support for atend.sort op.
-- 1. Adds aten.sort op in torch dialect.
-- 2. Adds tm_tensor.sort op in TMTensor dialect.
-- 3. Adds lowering of aten.sort -> tm_tensor.sort.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
-- This commit adds e2e support for aten.randint by decomposing it into
an aten.randint.low by setting low=0.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
This commits adds the support for cases for index_put_op:
1.) where index is a 2-d tensor.
2.) where indices is a list of tensors and none, with exactly
2 non none tensors along the consecutive dimensions.
This commit also adds a utility to compute the broadcast shape
given the two input tensors.
Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
The ops `aten.convolution_overrideable` and
`aten.convolution_backward_overrideable` are currently not e2e tested
in Torch-MLIR. Moreover, there is no way to add e2e tests for them
because the ops cannot be called using the CPU backend (this also
prevents adding tested dtype functions for these ops). Since these two
ops are not expected to ever appear in PyTorch traces obtained through
standard means (https://github.com/pytorch/pytorch/issues/97481),
Torch-MLIR should not have to worry about them.
The `RecomposeComplexOps` pass currently does not have a TableGen
declaration and it is using the base class of `DecomposeComplexOps`,
which causes `--mlir-print-ir-after-all` to create wrong pass
labels. This commit fixes that as well as some minor typos in the name
of the pass.
Set PyTorch and TorchVision version to nightly release 2023-02-27.
This commit also adds the lowering for aten.add and aten.Float.Scalar op.
Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
This patch replaces all MHLO operations with their StableHLO
counterparts and adds a validation pass to ensure that no MHLO operations
remain before translating all Stablehlo operations to the MHLO dialect
for further lowering to the Linalg dialect.
This patch also updates all lit tests so that they refer to the
`convert-torch-to-stablehlo` pass and so that they check for StableHLO
operations.
Rename BlockAndValueMapping to IRMapping
Moved PrimTupleConstructOp type validation to its own verifier as the
tablegen version does not work for a combination of variadic input and
non-variadic output.
One of the potential values for a `torch_upstream::ScalarType` is
`Undefined`. This means that conversion of a `ScalarType` to another
type is a computation that can fail. To enforce handling of the
failure case, this commit makes the two helper functions that convert
`ScalarType`s into other types return `failure()` when the
`ScalarType` is `Undefined`.
This reverts commit eaab9be207, since it
is causing the post-merge CI tests to fail, causing subsequent PRs to be
blocked. Specifically, the tests
`ElementwiseAtenLogicalAndOpPromoteBroadcastModule_basic` and
`ElementwiseAtenLogicalXorOpPromoteBroadcastModule_basic` fail because
the oracle does not match the computed result. This patch reverts the
commit to make the post-merge builds green again.
rahul shrivastava
Yuanqiang Liu
Vivek Khandelwal
Abhishek Varma
Alexandre Rames
Ramiro Leal-Cavazos
Ziheng Jiang
Maksim Levental
Zhekun Zhang
Jiahao Li
gpetters94
Priya Savithiri
Prateek Gupta
Zachary Cetinic
Zachary Cetinic
Ashay Rane
Gleb Kazantaev
Eric Kunze
Srirammaswamy
Shivam Gupta