Commit Graph

86 Commits

Author SHA1 Message Date
Matthias Springer
b9fe461e73 [mlir][transform] LISH: Add transform op (#70630)
Add a transform op for loop-invariant subset hoisting. Delete the old
transform op from the Linalg dialect.
2023-11-05 11:40:51 +09:00
martin-luecke
9ccf01fbf7 [mlir][transform] Support for multiple top-level transform ops (#69615)
This adds a flag to the `TransformDialectInterpreter` that relaxes the
requirement for only a single top-level transform op.
This is useful for supporting transforms that take transform IR as
payload.

This also aligns the function `findTopLevelTransform`
[here](7b0f4c9db5 (diff-551f92bb609487ccf981daf9571f0f1b1703ab2330560a388a5f0d133e520be4L59))
with its documentation:
In the presence of multiple top-level transform ops it now correctly
returns the first of them after reporting the error instead of returning
a `nullptr`.
2023-10-20 11:42:20 +02:00
Ingo Müller
6a2071cc6a [mlir][transform] Allow passing various library files to interpreter. (#67120)
The transfrom interpreter accepts an argument to a "library" file with
named sequences. This patch exteneds this functionality such that (1)
several such individual files are accepted and (2) folders can be passed
in, in which all `*.mlir` files are loaded.
2023-10-06 12:52:49 +02:00
Ingo Müller
787689943d [mlir][transform] Fix handling of transitive include in interpreter. (#67560)
Until now, the interpreter would only load those symbols from the
provided library files that were declared in the main transform module.
However, sequences in the library may include other sequences on their
own. Until now, if such sequences were not *also* declared in the main
transform module, the interpreter would fail to resolve them. Forward
declaring all of them is undesirable as it defeats the purpose of
encapsulation into library modules.

This PR implements a kind of linker for transform scripts to solve this
problem. The linker merges all symbols of the library module into the
main module before interpreting the latter. Symbols whose names collide
are handled as follows: (1) if they are both functions (in the sense of
`FunctionOpInterface`) with compatible signatures, one is external, and
the other one is public, then they are merged; (2) of one of them is
private, that one is renamed; and (3) an error is raised otherwise.

One consequence of this change is that the loading of the library files
in the interpreter pass is not idempotent anymore, i.e., subsequent 
interpreter passes cannot (and need not) load the same library files again
since would lead to doubly defined symbols.
2023-10-06 10:56:57 +02:00
Matthias Springer
085075a5e3 [mlir][transform] Check for invalidated iterators on payload values (#66472)
Same as #66369 but for payload values. (#66369 added checks only for
payload operations.)

It was necessary to change the signature of `getPayloadValues` to return
an iterator. This is now similar to payload operations.

Fixes an issue in #66369 where the `LLVM_ENABLE_ABI_BREAKING_CHECKS`
check was inverted.
2023-09-25 15:42:35 +02:00
Christopher Bate
e2d39f799b [mlir][Transform] Add updateConversionTarget to ConversionPatternDescriptorOpInterface
This change adds a method to modify the ConversionTarget used during
`transform.apply_conversion_patterns` to the
`ConversionPatternDescriptorOpInterface`. This is needed when the TypeConverter
is used to dictate the dynamic legality of operations, as in "structural"
conversion patterns present in, for example, the SCF and func dialects.

As a first use case/test, this change also adds a
`transform.apply_patterns.scf.structural_conversions` operation to the SCF
dialect.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D158672
2023-09-14 11:39:47 -06:00
Matthias Springer
4f63252d5d [mlir][transform] Fix crash when op is erased during transform.foreach (#66357)
Fixes a crash when an op, that is mapped to handle that a
`transform.foreach` iterates over, was erased (through the
`TrackingRewriter`). Erasing an op removes it from all mappings and
invalidates iterators. This is already taken care of when an op is
iterating over payload ops in its `apply` method, but not when another
transform op is erasing a tracked payload op.
2023-09-14 14:59:36 +02:00
Mehdi Amini
830b9b072d Update some uses of getAttr() to be explicit about Inherent vs Discardable (NFC) 2023-09-12 01:33:47 -07:00
Matthias Springer
bcfdb3e4bc [mlir][transform] Add apply_conversion_patterns op
This transform op applies a dialect conversion to the targeted ops. Its design is similar to `apply_patterns`.

Patterns are specified in the first region of `apply_conversion_patterns`. They must implement the `ConversionPatternDescriptorOpInterface`. Regular rewrite patterns and dialect conversion patterns should not be mixed, so the interface is separate from the `PatternDescriptorOpInterface`.

The type converter is specified as the single op of the second region. It is optional; if no type converter is specified, it is expected that pattern descriptors provide their own type converters. If both the pattern descriptors and the `apply_conversion_patterns` op specify a type converter, the type converter of the pattern descriptor is used.

Differential Revision: https://reviews.llvm.org/D157109
2023-08-07 08:49:55 +02:00
Matthias Springer
7dfcd4b7c9 [mlir][transform] Add VerifyOp
This transform op runs the verifier on the targeted payload ops. It is for debugging only.

Differential Revision: https://reviews.llvm.org/D154711
2023-07-07 15:30:32 +02:00
Alex Zinenko
dd81c6b8d3 [mlir] integration tests for transform dialect matchers
Add integration tests exercising transform dialect matchers for slightly
larger compositions of structured ops, namely reductions and matrix
multiplications with optional leading and trailing elementwise
operations.

Reviewed By: qcolombet

Differential Revision: https://reviews.llvm.org/D154440
2023-07-05 10:43:30 +00:00
Matthias Springer
9cc8e45898 [mlir][transform] Add notifyPayloadOperationReplaced to TransformRewriter
This function allows users to update payload op mappings in cases where such replacements cannot be performed automatically by the rewriter/listener interface.

Differential Revision: https://reviews.llvm.org/D153764
2023-06-26 17:28:45 +02:00
Alex Zinenko
c580bd261c [mlir][transform] fix handle invalidation check for reentrant regions
When exiting the scope of a region attached to a transform op, clean up
the handle invalidation checks assocaited with handles defined in this
region. Otherwise, these checks may trigger on the next entry to the
region while there is no incorrect usage.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D153545
2023-06-23 08:20:49 +00:00
Quinn Dawkins
193803968f [mlir][Transform] Allow parameter and value types in merge_handles op
Similar to operation handles, merging handles for other types can be useful to
avoid repetition of common transformations across a set of parameters.
For example, forming a list of static values for comparison rather than
comparing the parameters one at a time.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D153240
2023-06-20 13:54:38 -04:00
Matthias Springer
c63d2b2c71 [mlir][transform] Add TransformRewriter
All `apply` functions now have a `TransformRewriter &` parameter. This rewriter should be used to modify the IR. It has a `TrackingListener` attached and updates the internal handle-payload mappings based on rewrites.

Implementations no longer need to create their own `TrackingListener` and `IRRewriter`. Error checking is integrated into `applyTransform`. Tracking listener errors are reported only for ops with the `ReportTrackingListenerFailuresOpTrait` trait attached, allowing for a gradual migration. Furthermore, errors can be silenced with an op attribute.

Additional API will be added to `TransformRewriter` in subsequent revisions. This revision just adds an "empty" `TransformRewriter` class and updates all `apply` implementations.

Differential Revision: https://reviews.llvm.org/D152427
2023-06-20 10:49:59 +02:00
Alex Zinenko
95f495c7b3 [mlir][transform] add a check for nested consumption in ApplyEachOpTrait
ApplyEachOpTrait applies to payload ops associated with its operand
handle one-by-one in order. If a handle is consumed, this usually
indicates that the associated payload ops are erased or rewritten. Add a
check that we don't consume an ancestor payload operation before
consuming its descendant, as the latter is likely to be a dangling
pointer. Transform operations for which this is a legitimate behavior
(i.e., they consume the handle but don't actually erase or rewrite the
payload operation) should implement the interface directly and allow for
repeated handles.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D152510
2023-06-09 10:44:24 +00:00
Matthias Springer
1b390f5e75 [mlir][transform] Simplify TrackingListener test case
Use the default TrackingListener. No need to set up a derived listener just for the test case. This revision is in preparation of a future change that adds a TrackingRewriter infrastructure.

Differential Revision: https://reviews.llvm.org/D152446
2023-06-09 12:03:19 +02:00
Matthias Springer
572b171fb5 [mlir][transform] TrackingListener: Distinguish between failure and "should be dropped"
When looking for replacement ops (`findReplacementOp`) distinguish between "no replacement could be found" and "this op should be dropped from the mapping". The latter case will be utilized in a subsequent revision when a payload op is mapped to a consumed handle.

Differential Revision: https://reviews.llvm.org/D152375
2023-06-09 11:40:32 +02:00
Matthias Springer
cc7f52432b [mlir][transform] Use separate ops instead of PatternRegistry
* Remove `transform::PatternRegistry`.
* Add a new op for each currently registered pattern set.
* Change names of vector dialect pattern selector ops, so that they are consistent with the remaining code base.
* Remove redundant `transform.vector.extract_address_computations` op.

Differential Revision: https://reviews.llvm.org/D152249
2023-06-06 11:53:03 +02:00
Alex Zinenko
9d30c6a721 [mlir][transform] generate transform module on-the-fly
Add a TransformInterpreterPassBase capability to generate the (shared)
module containing the transform script during the pass initialization.
This is helpful to programmatically generate the script as opposed to
parsing it from the textual module.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D152185
2023-06-06 09:34:54 +00:00
Matthias Springer
5a10f207cc [mlir][transform] Add region to ApplyPatternsOp
Patterns should be selected by adding ops that implement `PatternDescriptorOpInterface` to the region of `apply_pattern` ops. Such ops can have operands, allowing for pattern parameterization. The existing way of selecting patterns from the PatternRegistry is deprecated.

Differential Revision: https://reviews.llvm.org/D152167
2023-06-06 09:09:41 +02:00
Matthias Springer
0b52fa900a [mlir][transform] Add ApplyPatternsOp and PatternRegistry
Add a new transform op that applies patterns to a targeted payload op. Patterns can be registered by transform dialect extensions in a pattern registry.

Differential Revision: https://reviews.llvm.org/D151983
2023-06-02 14:58:20 +02:00
Alex Zinenko
1d9a1139fd [mlir] harden expensive-checks mode against ops with repeated operands
Transform operations may indicate that they may accept and consume
several handles pointing to the same or nested payload entities. The
initial implementation of the expensive-checks mode was simply ignoring
such cases as consuming the second handle would fail the check after the
first handle invalidated it by consuming the same payload. Additional
checks had been added since then, which could now trigger assertions in
the expensive-checks module itself (instead of or in addition to
use-after-free assertions down the road), specifically because the
payload associations for invalidated handles is removed from the state
to enable other kinds of checking.

Rework the handling of transform operations with repeated handles so
use-after-consume is still reported properly if the consumption happened
by a preceding operation, as opposed to the a preceding operand of the
same operation that is still (corretly) ignored if the op requests that.

Depends on: D151560

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D151569
2023-05-30 07:53:39 +00:00
Mehdi Amini
660f714e26 [MLIR] Add native Bytecode support for properties
This is adding a new interface (`BytecodeOpInterface`) to allow operations to
opt-in skipping conversion to attribute and serializing properties to native
bytecode.

The scheme relies on a new section where properties are stored in sequence

  { size, serialize_properties }, ...

The operations are storing the index of a properties, a table of offset is
built when loading the properties section the first time.

This is a re-commit of 837d1ce0dc which conflicted with another patch upgrading
the bytecode and the collision wasn't properly resolved before.

Differential Revision: https://reviews.llvm.org/D151065
2023-05-26 17:45:01 -07:00
Alex Zinenko
44f6e8625e [mlir] teach expensive-checks transform mode about empty handle
The transform dialect interpreter features the expensive-checks mode
that acts as an embedded sanitizer to track use-after-consume of
transform handles. Its logic is based on the relations between payload
operations, which made it silently ignore empty handles that are
consumed. Also catch and report this case because the remaining code may
hit an assertion on attempting to access a consumed handle (that is
removed from the mapping).

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D151560
2023-05-26 16:01:09 +00:00
Tobias Hieta
f9008e6366 [NFC][Py Reformat] Reformat python files in mlir subdir
This is an ongoing series of commits that are reformatting our
Python code.

Reformatting is done with `black`.

If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.

If you run into any problems, post to discourse about it and
we will try to help.

RFC Thread below:

https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style

Differential Revision: https://reviews.llvm.org/D150782
2023-05-26 08:05:40 +02:00
Mehdi Amini
bb9a0c736b Revert "[MLIR] Add native Bytecode support for properties"
This reverts commit ca5a12fd69
and follow-up fixes:

df34c288c4
07dc906883
ab80ad0095
837d1ce0dc

The first commit was incomplete and broken, I'll prepare a new version
later, in the meantime pull this work out of tree.
2023-05-25 21:02:31 -07:00
Mehdi Amini
837d1ce0dc [MLIR] Add native Bytecode support for properties
This is adding a new interface (`BytecodeOpInterface`) to allow operations to
opt-in skipping conversion to attribute and serializing properties to native
bytecode.

The scheme relies on a new section where properties are stored in sequence

  { size, serialize_properties }, ...

The operations are storing the index of a properties, a table of offset is
built when loading the properties section the first time.

Back-deployment to version prior to 4 are relying on getAttrDictionnary() which
we intend to deprecate and remove: that is putting a de-factor end-of-support
horizon for supporting deployments to version older than 4.

Differential Revision: https://reviews.llvm.org/D151065
2023-05-25 15:15:47 -07:00
Alex Zinenko
94d608d410 [mlir] move PDL-related transform ops into an extension
The initial bring-up of the Transform dialect relied on PDL to provide
the default handle type (`!pdl.operation`) and the matching capability.
Both are now provided natively by the Transform dialect removing the
reason to have a hard dependency on the PDL dialect and its interpreter.
Move PDL-related transform operations into a separate extension.

This requires us to introduce a dialect state extension mechanism into
the Transform dialect so it no longer needs to know about PDL constraint
functions that may be injected by extensions similarly to operations and
types. This mechanism will be reused to connect pattern application
drivers and the Transform dialect.

This completes the restructuring of the Transform dialect to remove
overrilance on PDL.

Note to downstreams: flow that are using `!pdl.operation` with Transform
dialect operations will now require `transform::PDLExtension` to be
applied to the transform dialect in order to provide the transform
handle type interface for `!pdl.operation`.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D151104
2023-05-24 12:25:06 +00:00
Alex Zinenko
46af120e15 [mlir] don't hardcode PDL_Operation in TestTransformDialectExtensions
Update operations in Transform dialect extensions used for testing to
use the more generic `TransformHandleTypeInterface` type constraint
instead of hardcoding `PDL_Operation`. See
https://discourse.llvm.org/t/rfc-type-system-for-the-transform-dialect/65702
for motivation. This is particularly important as these tests are often
used as source of best practices.

Update tests to use `!transform.any_op` instead of `!pdl.operation`.

Depends On D150785

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D150786
2023-05-22 08:19:49 +00:00
Alex Zinenko
f52b6381be [mlir] update types in remaining Linalg TransformOps test
All ops now support explicit type specification, update types to use
`!transform.any_op` instead of `!pdl.operation` for consistency.

Depends On D144515

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D150592
2023-05-16 08:16:59 +00:00
Matthias Springer
0e37ef08d4 [mlir][transform] Use TrackingListener-aware iterator for getPayloadOps
Instead of returning an `ArrayRef<Operation *>`, return at iterator that skips ops that were erased/replaced while iterating over the payload ops.

This fixes an issue in conjuction with TrackingListener, where a tracked op was erased during the iteration. Elements may not be removed from an array while iterating over it; this invalidates the iterator.

When ops are erased/removed via `replacePayloadOp`, they are not immediately removed from the mappings data structure. Instead, they are set to `nullptr`. `nullptr`s are not enumerated by `getPayloadOps`. At the end of each transformation, `nullptr`s are removed from the mapping data structure.

Differential Revision: https://reviews.llvm.org/D149847
2023-05-15 10:31:24 +02:00
Tres Popp
c1fa60b4cd [mlir] Update method cast calls to function calls
The MLIR classes Type/Attribute/Operation/Op/Value support
cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast
functionality in addition to defining methods with the same name.
This change begins the migration of uses of the method to the
corresponding function call as has been decided as more consistent.

Note that there still exist classes that only define methods directly,
such as AffineExpr, and this does not include work currently to support
a functional cast/isa call.

Context:

* https://mlir.llvm.org/deprecation/ at "Use the free function variants for dyn_cast/cast/isa/…"
* Original discussion at https://discourse.llvm.org/t/preferred-casting-style-going-forward/68443

Implementation:
This follows a previous patch that updated calls
`op.cast<T>()-> cast<T>(op)`. However some cases could not handle an
unprefixed `cast` call due to occurrences of variables named cast, or
occurring inside of class definitions which would resolve to the method.
All C++ files that did not work automatically with `cast<T>()` are
updated here to `llvm::cast` and similar with the intention that they
can be easily updated after the methods are removed through a
find-replace.

See https://github.com/llvm/llvm-project/compare/main...tpopp:llvm-project:tidy-cast-check
for the clang-tidy check that is used and then update printed
occurrences of the function to include `llvm::` before.

One can then run the following:
```
ninja -C $BUILD_DIR clang-tidy

run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\
                 -export-fixes /tmp/cast/casts.yaml mlir/*\
                 -header-filter=mlir/ -fix

rm -rf $BUILD_DIR/tools/mlir/**/*.inc
```

Differential Revision: https://reviews.llvm.org/D150348
2023-05-12 11:21:30 +02:00
Alex Zinenko
3fe7127d48 [mlir] add structured (Linalg) transform op matchers
Add a set of transform operations into the "structured" extension of the
Transform dialect that allow one to select transformation targets more
specifically than the currently available matching. In particular, add
the mechanism for identifying the producers of operands (input and init
in destination-passing style) and users of results, as well as
mechanisms for reasoning about the shape of the iteration space.

Additionally, add several transform operations to manipulate parameters
that could be useful to implement more advanced selectors. Specifically,
new operations let one produce and compare parameter values to implement
shape-driven transformations.

New operations are placed in separate files to decrease compilation
time. Some relayering of the extension is necessary to avoid repeated
generation of enums.

Depends on D148013
Depends on D148014
Depends on D148015

Reviewed By: chelini

Differential Revision: https://reviews.llvm.org/D148017
2023-04-13 12:37:51 +00:00
Alex Zinenko
63c9d2b14e [mlir] Add transform.foreach_match
Add a new transform op combinator that implements an "if-then-else"
style of mechanism for applying transformations. Its main purpose is to
serve as a higher-level driver when applying multiple transform scripts
to potentially overlapping pieces of the payload IR. This is similar to
how the various rewrite drivers operate in C++, but at a higher level
and with more declarative expressions. This is not intended to replace
existing pattern-based rewrites, but to to drive more complex
transformations that are exposed in the transform dialect and are too
complex to be expressed as simple declarative rewrites.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D148013
2023-04-12 11:01:38 +00:00
Matthias Springer
07fef178e8 [mlir][transform] Better debugging facilites for invalid API usage
This revision adds additional "expensive-checks" checks to the transform dialect that detect the most common cases of:

* Missing `consumesHandle` side effects on transform ops.
* Patterns that remove operations but do not notify the transform dialect.

In essence, these additional checks are looking for dangling pointers to erased payload ops in the transform dialect state and crash the program execution (by dereferencing free'd memory) or triggering an assertion failure. It is recommended to run these extra checks with ASAN. Otherwise, certain failures may not be detected. The ASAN error message can also be used to find the faulty transform op/pattern.

This change also fixes a few faulty transform ops.

Differential Revision: https://reviews.llvm.org/D147447
2023-04-12 15:49:28 +09:00
Matthias Springer
7b4a755271 [mlir][transform] TransformStateExtension: Replace op/value handles separately
Differential Revision: https://reviews.llvm.org/D147038
2023-03-29 10:56:08 +02:00
Alex Zinenko
92c6946840 [mlir] support external named transform libraries
Introduce support for external definitions of named sequences in the
transform dialect by letting the TransformInterpreterPassBase read a
"library" MLIR file. This file is expected to contain definitions for
named sequences that are only declared in the main transformation
script. This allows for sharing non-trivial transform combinations
without duplication.

This patch provides only the minimal plumbing for a single textual IR
file. Further changes are possible to support multiple libraries and
bytecode files.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D146961
2023-03-28 09:47:19 +00:00
Alex Zinenko
d9db5a5904 [mlir] relax value handle updates when operation is replaced
The initial implementaiton of value handle update when the payload
operation defining the values associated with value handles was being
replaced required the replacement operation to have the same number of
results. This is not strictly necessary. The replacement operation may
have more results, or less results provided that there are no handles to
the results that have no equivalent in the replacement op.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D145254
2023-03-14 15:57:31 +00:00
Alex Zinenko
7fdc2ed09f [mlir] reallow null results in TransformEachOpTrait
Previous changes in 98acd74683 were overly
eager to disallow null payload everywhere. The semantics of
TransformEachOpTrait allows individual applications to return null
payloads as means of filtering out the operations to which they are not
applicable without emitting even a silenceable failure. This is a
questionable choice, but one apparently relied upon. Null payloads are
not supposed to leak outside of the trait.

Reviewed By: qcolombet

Differential Revision: https://reviews.llvm.org/D143904
2023-02-14 10:11:32 +00:00
Alex Zinenko
a702628843 [mlir] add support for transform dialect value handles
Introduce support for the third kind of values in the transform dialect:
value handles. Similarly to operation handles, value handles are
pointing to a set of values in the payload IR. This enables
transformation to be targeted at specific values, such as individual
results of a multi-result payload operation without indirecting through
the producing op or block arguments that previously could not be easily
addressed. This is expected to support a broad class of memory-oriented
transformations such as selective bufferization, buffer assignment, and
memory transfer management.

Value handles are functionally similar to operation handles and require
similar implementation logic. The most important change concerns the
handle invalidation mechanism where operation and value handles can
affect each other.

This patch includes two cleanups that make it easier to introduce value
handles:

  - `RaggedArray` structure that encapsulates the SmallVector of
    ArrayRef backed by flat SmallVector logic, frequently used in the
    transform interfaces implementation;

  - rewrite the tests that associated payload handles with an integer
    value `reinterpret_cast`ed as a pointer, which were a frequent
    source of confusion and crashes when adding more debugging
    facilities that can inspect the payload.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D143385
2023-02-09 12:11:24 +00:00
Alex Zinenko
0242b96214 [mlir] more side effect verification in transform dialect
Add a verifier checking that if a transform operation consumes a handle
(which is associated with a payload operation being erased or
recreated), it also indicates modification of the payload IR. This
hasn't been consistent in the past because of the "no-aliasing"
assumption where we couldn't have had more than one handle to an
operation, requiring some handle-manipulation operations, such as
`transform.merge_handles` to consume their operands. That assumption has
been liften and it is no longer necessary for these operations to
consume handles and thus make the life harder for the clients.

Additionally, remove TransformEffects.td that uses the ODS mechanism for
indicating side effects that works only for operands and results. It
was being used incorrectly to also indicate effects on the payload IR,
not assocaited with any IR value, and lacked the consume/produce
semantics available via helpers in C++.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D142361
2023-02-06 13:15:36 +00:00
Alex Zinenko
b7895f9ded [mlir] properly fix concurrent transform interpreter pass base
The original implementation of the transform interpreter pass base was
cloning the entire transform IR in presence of PDL-related operations to
avoid concurrency issues when running the pass with the same transform
IR on multiple operations of the payload IR. The root cause of those
issues is the `transform.pdl_match` operation that was moving the PDL
pattern definition operation into a new module, consumed by the PDL
interpreter and leading to a race. Clone the pattern operation instead.
This avoids the race as well as the cost for transform IR that doesn't
use PDL.

Depends on D142729.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D142962
2023-02-03 14:12:34 +00:00
Alex Zinenko
6e44f11ed3 [mlir] provide a base class for transform interpreter passes
The transform dialect infrastructure does not provide a default
interpreter pass and instead expects users to create their own to ensure
all relevant extensions and dependent dialects are loaded. Provide a
base class for implementing such passes that includes the additional
facilities for debugging and is aware of the multithreaded nature of
pass execution.

Reviewed By: pifon2a, nicolasvasilache

Differential Revision: https://reviews.llvm.org/D142729
2023-02-03 14:12:31 +00:00
Alex Zinenko
b9e40cde3b [mlir] multi-argument binding for top-level transform ops
`applyTransforms` now takes an optional mapping to be associated with
trailing block arguments of the top-level transform op, in addition to
the payload root. This allows for more advanced forms of communication
between C++ code and the transform dialect interpreter, in particular
supplying operations without having to re-match them during
interpretation.

Reviewed By: shabalin

Differential Revision: https://reviews.llvm.org/D142559
2023-01-31 14:21:28 +00:00
Alex Zinenko
394892841a [mlir] verify that transform ops have memory effects
Add a verifier to the TransformOpInterface ensuring that operations
implementing the interface define memory effects on their operands and
results.

Add the missing effects to TileToForeachThreadOp, specifically for
operands that were added at a later version of the op without modifying
`getEffects` accordingly.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D141371
2023-01-10 13:49:40 +00:00
Alex Zinenko
984c2c8cb3 [mlir] verify against nullptr payload in transform dialect
When establishing the correspondence between transform values and
payload operations or parameters, check that the latter are non-null and
report errors. This was previously allowed for exotic cases of partially
successfull transformations with "apply each" trait, but was dangerous.
The "apply each" implementation was reworked to remove the need for this
functionality, so this can now be hardned to avoid null pointer
dereferences.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D141142
2023-01-09 14:03:35 +01:00
Alex Zinenko
4b455a71b7 [mlir] adapt TransformEachOpTrait to parameter values
Adapt the implementation of TransformEachOpTrait to the existence of
parameter values recently introduced into the transform dialect. In
particular, allow `applyToOne` hooks to return a list containing a mix
of `Operation *` that will be associated with handles and `Attribute`
that will be associated with parameter values by the trait
implementation of the transform interface's `apply` method.

Disentangle the "transposition" of the list of per-payload op partial
results to decrease its overall complexity and detemplatize the code
that doesn't really need templates. This removes the poorly documented
special handling for single-result ops with TransformEachOpTrait that
could have assigned null pointer values to handles.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D140979
2023-01-06 12:23:41 +00:00
Alex Zinenko
97c05062af [mlir] NFC: rename TransformTypeInterface to TransformHandleTypeInterface
This makes it more consistent with the recently added
TransformParamTypeInterface.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D140977
2023-01-06 12:23:33 +00:00
Alex Zinenko
ed02fa81fd [mlir] introduce parameters into the transofrm dialect
Introduce a new kind of values into the transform dialect -- parameter
values. These values have a type implementing the new
`TransformParamTypeInterface` and are associated with lists of
attributes rather than lists of payload operations. This mechanism
allows one to wrap numeric calculations, typically heuristics, into
transform operations separate from those at actually applying the
transformation. For example, tile size computation can be now separated
from tiling itself, and not hardcoded in the transform dialect. This
further improves the separation of concerns between transform choice and
implementation.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D140976
2023-01-06 12:23:29 +00:00