The decomposition was no longer correct for transpose_conv2d to conv2d
after the updated TOSA specification. Specifically the behavior for
padding was changed to refer to padding the tranpsose_conv2d instead
of referencing the conv applied to the inverse transform.
Test was validated using the TOSA conformance tests.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D140503
This is part of an effort to migrate from llvm::Optional to
std::optional. This patch changes the way mlir-tblgen generates .inc
files, and modifies tests and documentation appropriately. It is a "no
compromises" patch, and doesn't leave the user with an unpleasant mix of
llvm::Optional and std::optional.
A non-trivial change has been made to ControlFlowInterfaces to split one
constructor into two, relating to a build failure on Windows.
See also: https://discourse.llvm.org/t/deprecating-llvm-optional-x-hasvalue-getvalue-getvalueor/63716
Signed-off-by: Ramkumar Ramachandra <r@artagnon.com>
Differential Revision: https://reviews.llvm.org/D138934
Decomposition did not take padding into account when decomposing into fully
connected operation.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D139500
Add a separate validation pass to check if TOSA operations match with
the specification against given requirement. Perform profile type
checking as the initial feature in the pass.
This is an optional pass that can be enabled via command line. e.g.
$mlir-opt --tosa-validate="profile=bi" for validating against the
base inference profile.
Description:
TOSA defines a variety of operator behavior and requirements in the
specification. It would be helpful to have a separate validation pass
to keep TOSA operation input match with TOSA specification for given
criteria, and also diminish the burden of dialect validation during
compilation.
TOSA supports three profiles of which two are for inference purposes.
The main inference profile supports both integer and floating-point
data types, but the base inference profile only supports integers.
In this initial PR, validate the operations against a given profile
of TOSA, so that validation would fail if a floating point tensor is
present when the base inference profile is selected. Afterward, others
checking will be added to the pass if needed. e.g. control flow
operators and custom operators validation.
The pass is expected to be able to run on any point of TOSA dialect
conversion/transformation pipeline, and not depend on a particular
pass run ahead. So that it is can be used to validate the initial tosa
operations just converted from other dialects, the intermediate form,
or the final tosa operations output.
Change-Id: Ib58349c873c783056e89d2ab3b3312b8d2c61863
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D137279
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.
Reviewed By: mehdi_amini, rriddle
Differential Review: https://reviews.llvm.org/D132838
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.
Reviewed By: mehdi_amini, rriddle
Differential Review: https://reviews.llvm.org/D132838
Now that C++17 is enabled in LLVM, a lot of the TODOs and patterns to emulate C++17 features can be eliminated.
The steps I have taken were essentially:
```
git grep C++17
git grep c++17
git grep "initializer_list<int>"
```
and address given comments and patterns.
Most of the changes boiled down to just using fold expressions rather than initializer_list.
While doing this I also discovered that Clang by default restricts the depth of fold expressions to 256 elements. I specifically hit this with `TestDialect` in `addOperations`. I opted to not replace it with fold expressions because of that but instead adding a comment documenting the issue.
If any other functions may be called with more than 256 elements in the future we might have to revert other parts as well.
I don't think this is a common occurence besides the `TestDialect` however. If need be, this could potentially be fixed via `mlir-tblgen` in the future.
Differential Revision: https://reviews.llvm.org/D131323
Scope ops file to ops. Used canonicalization as grouping for canonicalization
patterns and folders (also considered OpTransforms but that felt too generic
and the former two are used together).
Reviewed By: silvas, rsuderman
Differential Revision: https://reviews.llvm.org/D130297
With SCCP and integer range analysis ported to the new framework, this old framework is redundant. Delete it.
Depends on D128866
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D128867
The TOSA Specification doesn't have a dilation attribute for transpose_conv2d,
and the padding array is of size 4. (top,bottom,left,right).
This change updates the dialect to match the specification, and updates the lit
tests to match the dialect changes.
Differential Revision: https://reviews.llvm.org/D127332
The generated attribute and type def accessors are changed to match the setting on the dialect. Most importantly, "prefixed" will now correctly convert snake case to camel case (e.g. `weight_zp` -> `getWeightZp`)
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D127688
Transpose operations on constant data were getting folded during the
canonicalization process. This has compile time cost proportional to
the constant size. Moving this to a separate pass to enable optionality
and flexibility of how such scenarios can be handled.
Reviewed By: rsuderman, jpienaar, stellaraccident
Differential Revision: https://reviews.llvm.org/D124685
This removes any potential confusion with the `getType` accessors
which correspond to SSA results of an operation, and makes it
clear what the intent is (i.e. to represent the type of the function).
Differential Revision: https://reviews.llvm.org/D121762
The last remaining operations in the standard dialect all revolve around
FuncOp/function related constructs. This patch simply handles the initial
renaming (which by itself is already huge), but there are a large number
of cleanups unlocked/necessary afterwards:
* Removing a bunch of unnecessary dependencies on Func
* Cleaning up the From/ToStandard conversion passes
* Preparing for the move of FuncOp to the Func dialect
See the discussion at https://discourse.llvm.org/t/standard-dialect-the-final-chapter/6061
Differential Revision: https://reviews.llvm.org/D120624
insert is soft deprecated, so remove all references so it's less likely
to be used and can be easily removed in the future.
Differential Revision: https://reviews.llvm.org/D120021
The Utils.cpp file in StandardOps essentially just contains utilities for interacting with arithmetic
operations, and at this point makes more sense as a utility file for the arithemtic dialect.
Differential Revision: https://reviews.llvm.org/D118280
The only benefit of FunctionPass is that it filters out function
declarations. This isn't enough to justify carrying it around, as we can
simplify filter out declarations when necessary within the pass. We can
also explore with better scheduling primitives to filter out declarations
at the pipeline level in the future.
The definition of FunctionPass is left intact for now to allow time for downstream
users to migrate.
Differential Revision: https://reviews.llvm.org/D117182
This patch fixes:
mlir/lib/Dialect/Tosa/Transforms/TosaOptionalDecompositions.cpp:28:8:
error: 'runOnFunction' overrides a member function but is not marked
'override' [-Werror,-Wsuggest-override]
Moved all TOSA decomposition patterns so that they can be optionally populated
and used by external rewrites. This avoids decomposing TOSa operations when
backends may benefit from the non-decomposed version.
Reviewed By: rsuderman, mehdi_amini
Differential Revision: https://reviews.llvm.org/D116526
TOSA's canonicalizers that change dense operations should be moved to a
seperate optimization pass to avoid canonicalizing to operations not supported
for relevant backends.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D115890
Transpose convolution decomposition is now performed in a separate pass. This
allows padding / constant propagation to be performed at the TOSA level. It
also adds support for striding when there is no dilation.
Differential Revision: https://reviews.llvm.org/D114409
