- Generic visitors invoke operation callbacks before/in-between/after visiting the regions
attached to an operation and use a `WalkStage` to indicate which regions have been
visited.
- This can be useful for cases where we need to visit the operation in between visiting
regions attached to the operation.
Differential Revision: https://reviews.llvm.org/D116230
Clean up return value on affineDataCopyGenerate utility. Return the
actual success/failure status instead of the "number of bytes" which
isn't being used in the codebase in any way. The success/failure status
wasn't being sent out earlier.
Differential Revision: https://reviews.llvm.org/D117209
By default, copies are inserted right before the tensor OpOperand use. With this change, `bufferize` implementation can change the insertion point. This is needed for some ops where it would be illegal to insert a copy right before the use.
Differential Revision: https://reviews.llvm.org/D117291
LLVM dialect supports terminators with repeated successor blocks that take
different operands. This cannot be directly expressed in LLVM IR though since
it uses the number of the predecessor block to differentiate values in its PHI
nodes. Therefore, the translation to LLVM IR inserts dummy blocks to forward
arguments in case of repeated succesors with arguments. The insertion works
correctly. However, when connecting PHI nodes to their source values, the
assertion of the insertion having worked correctly was incorrect: it would only
trigger if repeated blocks were adjacent in the successor list (not guaranteed
by anything) and would not check if the successors have operands (no need for
dummy blocks in absence of operands since no PHIs are being created). Change
the assertion to only trigger in case of duplicate successors with operands,
and don't expect them to be adjacent.
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D117214
When constructing an OperationName, the overwhelming majority of
cases are from registered operations. This revision adds a non-locked
lookup into the currently registered operations, which prevents locking
in the common case. This revision also optimizes several uses of
RegisteredOperationName that expect the operation to be registered,
e.g. such as in OpBuilder.
These changes provides a reasonable speedup (5-10%) in some
compilations, especially on platforms where locking is expensive.
Differential Revision: https://reviews.llvm.org/D117187
This guarantees the preconditions of fromCOO; whereas prior to this, one could call the constructor directly with an unsorted tensor, which would cause fromCOO to misbehave.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D117167
OpenMP runtime requires depend vec with i64 type and the alignment of
store instruction should be set as 8.
Reviewed By: kiranchandramohan, shraiysh
Differential Revision: https://reviews.llvm.org/D116300
(1) copy-and-past error in encoding alias name:
this is an annotation for a tensor (3-d) not a matrix (2-d).
(2) typo in "initialization"
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D117255
Add TACO tests to test/Integration/Dialect/SparseTensor/taco. Add the MLIR
PyTACO implementation as tools under the directory.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D117126
The names of the generated attribute getters for ops changed some time ago. The method created from the attribute name returns the return type and an additional method of the same name with Attr as suffix is generated which returns the actual attribute as its storage type.
The code generating effects however was using the methods without the Attr suffix, which is a problem in the case of FlatSymbolRefAttr as it has a return type of llvm::StringRef. This would lead to compilation errors as the constructor of SideEffects::EffectInstance expects a SymbolRefAttr in this case.
This patch simply fixes the generated effects code to use the Attr suffixed getter to get the actual storage type of the attribute.
Differential Revision: https://reviews.llvm.org/D117194
Adding the optional decompositions have been verified to improve memory
usage on common models. Added the decomposition to the default tosa to linalg
passes.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D117175
Spotted this in a final grep of projects I don't usually build before
pushing https://reviews.llvm.org/D115380, which makes
`SmallVector::set_size()` private.
Update to `truncate()`, a new-ish variant of `resize()` that asserts the
new size is not bigger and that avoids pulling in the allocation and
initialization code for growing. Doesn't really look like the perf
impact of that would matter here, but since `dirLength` is known to be a
smaller size then we might as well.
Differential Revision: https://reviews.llvm.org/D117073
Enable ReassociatingReshapeOpConversion with "non-identity" layouts.
This removes an early-return in this function, which seems unnecessary and is
preventing some memref.collapse_shape from converting to LLVM (see included lit test).
It seems unnecessary because the return message says "only empty layout map is supported"
but there actually is code in this function to deal with non-empty layout maps. Maybe
it refers to an earlier state of implementation and is just out of date?
Though, there is another concern about this early return: the condition that it actually
checks, `{src,dst}MemrefType.getLayout().isIdentity()`, is not quite the same as what the
return message says, "only empty layout map is supported". Stepping through this
`getLayout().isIdentity()` code in GDB, I found that it evaluates to `.getAffineMap().isIdentity()`
which does (AffineMap.cpp:271):
```
if (getNumDims() != getNumResults())
return false;
```
This seems that it would always return false for memrefs of rank greater than 1 ?
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D114808
LLVM Dialect Constant Op translations assume that if the attribute is a
vector, it's a fixed length one, generating an invalid translation for
constant scalable vector initializations.
Differential Revision: https://reviews.llvm.org/D117125
* This is useful when you need to build mixed array from external static/dynamic arrays (e.g. from adaptor during dialect conversion)
* Also, to reduce C++ code in td and generated files
Differential Revision: https://reviews.llvm.org/D117106
This overload parses a pipeline string that contains the anchor operation type, and returns an OpPassManager
corresponding to the provided pipeline. This is useful for various situations, such as dynamic pass pipelines
which are not anchored within a parent pass pipeline.
fixes#52813
Differential Revision: https://reviews.llvm.org/D116525
Dynamic batch for rescale, gather, max_pool, avg_pool, conv2D and depthwise_conv2D. Split helper functions into a separate header file.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D117031
ShapedType was created in a time before interfaces, and is one of the earliest
type base classes in the ecosystem. This commit refactors ShapedType into
an interface, which is what it would have been if interfaces had existed at that
time. The API of ShapedType and it's derived classes are essentially untouched
by this refactor, with the exception being the API surrounding kDynamicIndex
(which requires a sole home).
For now, the API of ShapedType and its name have been kept as consistent to
the current state of the world as possible (to help with potential migration churn,
among other reasons). Moving forward though, we should look into potentially
restructuring its API and possible its name as well (it should really have "Interface"
at the end like other interfaces at the very least).
One other potentially interesting note is that I've attached the ShapedType::Trait
to TensorType/BaseMemRefType to act as mixins for the ShapedType API. This
is kind of weird, but allows for sharing the same API (i.e. preventing API loss from
the transition from base class -> Interface). This inheritance doesn't affect any
of the derived classes, it is just for API mixin.
Differential Revision: https://reviews.llvm.org/D116962
This field allows for defining a code block that is placed in both the interface
and trait declarations. This is very useful when defining a set of utilities to
expose on both the Interface class and the derived attribute/operation/type.
In non-static methods, `$_attr`/`$_op`/`$_type` (depending on the type of
interface) may be used to refer to an instance of the IR entity. In the interface
declaration, this is an instance of the interface class. In the trait declaration,
this is an instance of the concrete entity class (e.g. `IntegerAttr`, `FuncOp`, etc.).
Differential Revision: https://reviews.llvm.org/D116961
Apply scale may encounter scalar, tensor, or vector operations. Expand the
lowering so that it can lower arbitrary of container types.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D117080
This method simply forwards to populateFunctionLikeTypeConversionPattern,
which is more general. This also helps to remove special treatment of FuncOp from
DialectConversion.
Differential Revision: https://reviews.llvm.org/D116624
This patch fixes:
mlir/lib/Dialect/Arithmetic/Transforms/ExpandOps.cpp:161:52: error:
'static_assert' with no message is a C++17 extension
[-Werror,-Wc++17-extensions]
There have been a few API pieces remaining to allow for a smooth transition for
downstream users, but these have been up for a few months now. After this only
the C API will have reference to "Identifier", but those will be reworked in a followup.
The main updates are:
* Identifier -> StringAttr
* StringAttr::get requires the context as the first parameter
- i.e. `Identifier::get("...", ctx)` -> `StringAttr::get(ctx, "...")`
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D116626
If any of the operands is NaN, return the operand instead of a new constant.
When the rhs operand is a constant, the second arith.cmpf+select ops will be folded away.
https://reviews.llvm.org/D117010 marks the two ops commutative, which will place the constant on the rhs.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D117011
Enable constant folding of ops within the math dialect, and introduce constant folders for ceil and log2
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D117085
This change makes it possible to use a different buffer deallocation strategy. E.g., `-buffer-deallocation` can be used, which also works for allocations that are not in destination-passing style.
Differential Revision: https://reviews.llvm.org/D117096
This op is an example for how to deal with ops who's OpResult may aliasing with one of multiple OpOperands.
Differential Revision: https://reviews.llvm.org/D116868
Add inliner interface for GPU dialect. The interface marks all GPU
dialect ops legal to inline anywhere.
Differential Revision: https://reviews.llvm.org/D116889
Enable constant folding of ops within the math dialect, and introduce constant folders for ceil and log2
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D117085
Given a while loop whose condition is given by a cmp, don't recomputed the comparison (or its inverse) in the after region, instead use a constant since the original condition must be true if we branched to the after region.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D117047
Most convolution operations need explicit padding of the input to
ensure all accesses are inbounds. In such cases, having a pad
operation can be a significant overhead. One way to reduce that
overhead is to try to fuse the pad operation with the producer of its
source.
A sequence
```
linalg.generic -> linalg.pad_tensor
```
can be replaced with
```
linalg.fill -> tensor.extract_slice -> linalg.generic ->
tensor.insert_slice.
```
if the `linalg.generic` has all parallel iterator types.
Differential Revision: https://reviews.llvm.org/D116418
This patch adds corresponding memory effects to mlir llvm-dialect load/store/addressof ops, which thus enables canonicalizations of those ops (like dead code elimination) that rely on the effect interface
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D117041
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
Apply scale may operate on vectors, scalars, or tensors during
tiling. Relax the requirements to avoid failures.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D116981
Given an if of the form, simplify it by eliminating the not and swapping the regions
scf.if not(c) {
yield origTrue
} else {
yield origFalse
}
becomes
scf.if c {
yield origFalse
} else {
yield origTrue
}
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D116990
All named ops list iterators for accessing output first except
pooling ops. This commit made the pooling ops consistent with
the rest.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D115520
Previously, CallOps did not have any aliasing OpResult/OpOperand pairs. Therefore, CallOps were mostly ignored by the analysis and buffer copies were not inserted when necessary.
This commit introduces the following changes:
* Function bbArgs writable by default. A function can now be bufferized without inspecting its callers.
* Callers must introduce buffer copies of function arguments when necessary. If a function is external, the caller must conservatively assume that a function argument is modified by the callee after bufferization. If the function is not external, the caller inspects the callee to determine if a function argument is modified.
Differential Revision: https://reviews.llvm.org/D116457
Changed the remaining appearances of alloc to memref.alloc in several
documentation sections, since they lead to misunderstandings, if they
are used.
Differential Revision: https://reviews.llvm.org/D116999
D115722 added a DL spec to GPU modules. It happens that the DL
default interface implementation is sensitive to the name of the
DL spec attribute. This patch is fixing the name of the attribute
to be the expected one.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D116956
This patch introduces a new directive that allow to parse/print attributes and types fully
qualified.
This is a follow-up to ee0908703d which introduces the eliding of the `!dialect.mnemonic` by default and allows to force to fully qualify each type/attribute
individually.
Differential Revision: https://reviews.llvm.org/D116905
When the unroll factor is 1, we should only fail "unrolling" when the trip count also is determined to be 1 and it is unable to be promoted.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D115365
Given a select whose result is an i1, we can eliminate the conditional in the select completely by adding a few arithmetic operations.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D116839
This revision fixes SubviewOp, InsertSliceOp, ExtractSliceOp construction during bufferization
where not all offset/size/stride operands were properly specified.
A test that exhibited problematic behaviors related to incorrect memref casts is introduced.
Init tensor optimization is disabled in teh testing func bufferize pass.
Differential Revision: https://reviews.llvm.org/D116899
init_tensor elimination is arguably a pre-optimization that should be separated from comprehensive bufferization.
In any case it is still experimental and easily results in wrong IR with violated SSA def-use orderings.
Isolate the optimization behind a flag, separate the test cases and add a test case that would results in wrong IR.
Differential Revision: https://reviews.llvm.org/D116936
During iterative inlining of the functions in a multi-step call chain, the
inliner could add the same call operation several times to the worklist, which
led to use-after-free when this op was considered more than once.
Closes#52887.
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D116820
We allow the omission of a map in memref.reinterpret_cast under the assumption,
that the cast might cast to an identity layout. This change adds verification
that the static knowledge that is present in the reinterpret_cast supports
this assumption.
Differential Revision: https://reviews.llvm.org/D116601
This patch changes the syntax of omp.atomic.read to take the address of
destination, instead of having the value in a result. This will allow
using omp.atomic.read operation within an omp.atomic.capture operation
thus making its implementation less complex.
Reviewed By: peixin
Differential Revision: https://reviews.llvm.org/D116396
LLVM_OPTIMIZED_TABLEGEN results in MLIR_TABLEGEN_EXE pointing to
an absolute path in the build directory. This doesn't work
when exporting to an install directory. This patch fixes the exported
information for an install directory to refer to the installed
mlir-tblgen. (Note that this is probably a debug version if
LLVM_OPTIMIZED_TABLEGEN is set)
Fix crash in the presence of yield values. Multiple fixes to affine loop
tiling pre-condition checks and return status. Do not signal pass
failure on a failure to tile since the IR is still valid. Detect index
set computation failure in checkIfHyperrectangular and return failure.
Replace assertions with proper status return. Move checks to an
appropriate place earlier in the utility before mutation happens.
Differential Revision: https://reviews.llvm.org/D116738
This patch moves PresburgerSet to Presburger/ directory. This patch is purely
mechincal, it only moves and renames functionality and tests.
This patch is part of a series of patches to move presburger functionality to
Presburger/ directory.
Reviewed By: arjunp
Differential Revision: https://reviews.llvm.org/D116836
a32300a changed it to create a ThreadPool eagerly so that it gets reused
across buffers, however it also made it so that we create a ThreadPool
early even if we're not gonna use it later because of the command line
option `--mlir-disable-threading` is provided.
Fix#53056
Reland 45adf60802 after build fixes
Differential Revision: https://reviews.llvm.org/D116848
a32300a changed it to create a ThreadPool eagerly so that it gets reused
across buffers, however it also made it so that we create a ThreadPool
early even if we're not gonna use it later because of the command line
option `--mlir-disable-threading` is provided.
Fix#53056
Differential Revision: https://reviews.llvm.org/D116848
See the docs in the new function for details.
I think I found every instance of this copy pasted code. Polly could
also use it, but currently does something different, so I will save the
behavior change for a future revision.
We get the shared, non-installed CMake modules following the pattern
established in D116472.
It might be good to have LLD and Flang also use this, but that would be
a functional change and so I leave it as future work.
Reviewed By: beanz, lebedev.ri
Differential Revision: https://reviews.llvm.org/D116521
This patch moves all presburger functionality from FlatAffineConstraints to
IntegerPolyhedron. This patch is purely mechanical, it only moves and renames
functionality and tests.
This patch is part of a series of patches to move presburger functionality to
Presburger/ directory.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D116681
This patch fixes:
mlir/lib/Dialect/Linalg/ComprehensiveBufferize/LinalgInterfaceImpl.cpp:292:12:
error: comparison of integers of different signs: 'int' and
'unsigned int' [-Werror,-Wsign-compare]
This function runs just the analysis of Comprehensive Bufferize, but does not bufferize the IR yet.
This is in preparation of fixing CallOp bufferization. Also needed for unifying Comprehensive Bufferize and core bufferization; the new partial bufferization can simply run bufferization without an analysis.
Differential Revision: https://reviews.llvm.org/D116456
Instead of `lookupBuffer` and `getResultBuffer`, there is now a single `getBuffer` function. This simplifies the `BufferizableOpInterface` API and is less confusing to users. They could previously have called the wrong function.
Furthermore, since `getBuffer` now takes an `OpOperand &` instead of a `Value`, users can no longer accidentally use one of the previous two functions incorrectly, which would have resulted in missing buffer copies.
Differential Revision: https://reviews.llvm.org/D116455
With this change, the analysis takes a look at OpOperands instead of OpResults. OpOperands can bufferize out-of-place (even if they have no aliasing OpResults). The analysis does no longer care about OpResults.
Previously, only OpResults could bufferize out-of-place, so OpOperands that have no aliasing OpResults were never copied by Comprehensive Bufferize. This does not fit wwell with the new CallOp bufferization that is introduced in a subsequent change. In essence, called FuncOps can then be treated as "black boxes" that may read/write to any bbArg, even if they do not return anything.
Differential Revision: https://reviews.llvm.org/D115706
This is in preparation of fixing CallOp bufferization. Add explicit linalg.inplaceable attrs to all bbArgs, except for the ones where inplaceability should be decided by the analysis.
Differential Revision: https://reviews.llvm.org/D115840
The revision distinguishes `ReduceFn` and `ReduceFnUse`. The latter has the reduction dimensions attached while the former specifies the arithmetic function only. This separation allows us to adapt the reduction syntax a little bit and specify the reduction dimensions using square brackets (in contrast to the round brackets used for the values to reduce). It als is a preparation to add reduction function attributes to OpDSL. A reduction function attribute shall only specify the arithmetic function and not the reduction dimensions.
Example:
```
ReduceFn.max_unsigned(D.kh, D.kw)(...)
```
changes to:
```
ReduceFn.max_unsigned[D.kh, D.kw](...)
```
Depends On D115240
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D115241
The revision renames `PrimFn` to `ArithFn`. The name resembles the newly introduced arith dialect that implements most of the arithmetic functions. An exception are log/exp that are part of the math dialect.
Depends On D115239
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D115240
This revision introduces a the `TypeFn` class that similar to the `PrimFn` class contains an extensible set of type conversion functions. Having the same mechanism for both type conversion functions and arithmetic functions improves code consistency. Additionally, having an explicit function class and function name is a prerequisite to specify a conversion or arithmetic function via attribute. In a follow up commits, we will introduce function attributes to make OpDSL operations more generic. In particular, the goal is to handle signed and unsigned computation in one operations. Today, there is a linalg.matmul and a linalg.matmul_unsigned.
The commit implements the following changes:
- Introduce the class of type conversion functions `TypeFn`
- Replace the hardwired cast and cast_unsigned ops by the `TypeFn` counterparts
- Adapt the python and C++ code generation paths to support the new cast operations
Example:
```
cast(U, A[D.m, D.k])
```
changes to
```
TypeFn.cast(U, A[D.m, D.k])
```
Depends On D115237
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D115239
Renaming `AttributeDef` to `IndexAttrDef` prepares OpDSL to support different kinds of attributes and more closely reflects the purpose of the attribute.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D115237
Recent commits added a possibility for indices in LLVM dialect GEP operations
to be supplied directly as constant attributes to ensure they remain such until
translation to LLVM IR happens. Make this required for indexing into LLVM
struct types to match LLVM IR requirements, otherwise the translation would
assert on constructing such IR.
For better compatibility with MLIR-style operation construction interface,
allow GEP operations to be constructed programmatically using Values pointing
to known constant operations as struct indices.
Depends On D116758
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D116759
This make LLVM dialect constants to work with `m_constant` matches. Implement
the folding hook for this operation as required by the trait. This in turn
allows LLVM::ConstantOp to properly participate in constant-folding.
Depends On D116757
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D116758
In LLVM IR, the GEP indices that correspond to structures are required to be
i32 constants. MLIR models constants as just values defined by special
operations, and there is no verification that it is the case for structure
indices in GEP. Furthermore, some common transformations such as control flow
simplification may lead to the operands becoming non-constant. Make it possible
to directly supply constant values to LLVM GEPOp to guarantee they remain
constant until the translation to LLVM IR. This is not yet a requirement and
the verifier is not modified, this will be introduced separately.
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D116757
This patch adds two folds. One for a repeated xor (e.g. xor(xor(x, a), a)) and one for a repeated trunc (e.g. trunc(trunc(x))).
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D116383
This patch adds omp.atomic.write lowering to LLVM IR.
Also, changed the syntax to have equal symbol instead of the comma to
make it more intuitive.
Reviewed By: kiranchandramohan, peixin
Differential Revision: https://reviews.llvm.org/D116416
This patch fixes:
mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h:913:30:
error: private field 'options' is not used
[-Werror,-Wunused-private-field]
This has two advantages.
1. It is more efficient. No need to clone the entire region.
2. Recreating ops (via cloning) invalidates analysis results. Previously, an OpResult could have bufferized out-of-place, even though the analysis requested an in-place bufferization. That is because BufferizationState keeps track of OpResults for storing bufferization analysis results (and cloned ops have new OpResults).
Differential Revision: https://reviews.llvm.org/D116453
In addition, all functions that call `allocationFn` now return FailureOr<Value>. This resolves a few TODOs in the code base.
Differential Revision: https://reviews.llvm.org/D116452
Mehdi Amini