Fusing into a reduction is only valid if doing so does not erase information on a reduction dimensions size.
Differential Revision: https://reviews.llvm.org/D113500
* Move "linalg.inplaceable" attr name literals to BufferizableOpInterface.
* Use `memref.copy` by default. Override to `linalg.copy` in ComprehensiveBufferizePass.
These are the last remaining code dependencies on Linalg in Comprehensive Bufferize. The next commit will make ComprehensiveBufferize independent of the Linalg dialect.
Differential Revision: https://reviews.llvm.org/D113457
This revision adds an implementation of 2-D vector.transpose for 4x8 and 8x8 for
AVX2 and surfaces it to the Linalg level of control.
Reviewed By: dcaballe
Differential Revision: https://reviews.llvm.org/D113347
This decouples the printing/parsing from the "context" in which the parsing occurs.
This will allow to invoke these methods directly using an OpAsmParser/OpAsmPrinter.
Differential Revision: https://reviews.llvm.org/D113637
This patch fixes:
mlir/lib/Dialect/Linalg/ComprehensiveBufferize/ComprehensiveBufferize.cpp:301:20:
error: unused function 'printValueInfo' [-Werror,-Wunused-function]
Move helper functions for traversing reverse use-def chains. These are useful for implementing custom optimizations (e.g., custom InitTensorOp eliminations).
Also move over the AllocationCallbacks struct. This is in preparation for decoupling ComprehensiveBufferize from various dialects.
Differential Revision: https://reviews.llvm.org/D113386
mapped_iterator is a useful abstraction for applying a
map function over an existing iterator, but our current
usage ends up allocating storage/making indirect calls
even with the map function is a known function, which
is horribly inefficient. This commit refactors the usage
of mapped_iterator to avoid this, and allows for directly
referencing the map function when dereferencing.
Fixes PR52319
Differential Revision: https://reviews.llvm.org/D113511
This is a generalization of "do not copy buffers for a LinalgOp output if the output is not used".
Differential Revision: https://reviews.llvm.org/D113385
This is a generalization of "do not copy the result of an InitTensorOp". This commit is in preparation of decoupling `getResultBuffer` from the Linalg dialect.
Differential Revision: https://reviews.llvm.org/D113381
* Sprinkle `inline` on a few small and hot hashing/uniquing methods
* Use the faster DenseMapInfo hash functions instead of
llvm::hash_value.
This provides a speed up of a few percent in workloads with lots of
attributes.
Identifier and StringAttr essentially serve the same purpose, i.e. to hold a string value. Keeping these seemingly identical pieces of functionality separate has caused problems in certain situations:
* Identifier has nice accessors that StringAttr doesn't
* Identifier can't be used as an Attribute, meaning strings are often duplicated between Identifier/StringAttr (e.g. in PDL)
The only thing that Identifier has that StringAttr doesn't is support for caching a dialect that is referenced by the string (e.g. dialect.foo). This functionality is added to StringAttr, as this is useful for StringAttr in generally the same ways it was useful for Identifier.
Differential Revision: https://reviews.llvm.org/D113536
This make `getResultBuffer` in ComprehensiveBufferize independent of the SCF, Affine and Linalg dialects. This commit is in preparating of decoupling op interface implementations from ComprehensiveBufferize.
Differential Revision: https://reviews.llvm.org/D113380
The specific description is [[ https://llvm.discourse.group/t/adding-unsigned-integer-ceil-and-floor-in-std-dialect/4541 | Adding unsigned integer ceil in Std Dialect ]] .
When we lower ceilDivOp this will generate below code, sometimes we know m and n are unsigned intergal.Here are some redundant judgments about positive and negative.
So we need to add some unsigned operations to simplify the instructions.
```
ceilDiv(n, m)
x = (m > 0) ? -1 : 1
return (n*m>0) ? ((n+x) / m) + 1 : - (-n / m)
```
unsigned operations:
```
ceilDivU(n, m)
return n ==0 ? 0 : ((n - 1) / m) + 1
```
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D113363
BufferizationAliasInfo is used in BufferizationOpInterface::bufferize implementations, so it should be part of the same build target as BufferizableOpInterface.
This commit is in preparation of decoupling the ComprehensiveBufferize from the various dialects.
Differential Revision: https://reviews.llvm.org/D113378
* Store inplace bufferization decisions in `inplaceBufferized`.
* Remove `InPlaceSpec`. Use a bool instead.
* Use `BufferizableOpInterface::bufferizesToWritableMemory` and `bufferizesToWritableMemory` instead of `getInPlace(BlockArgument)`. The analysis does not care about inplacability of block arguments. It only cares whether the buffer can be written to or not.
* The `kInPlaceResultsAttrName` op attribute is for testing purposes only.
This commit further decouples BufferizationAliasInfo from other dialects such as SCF.
Differential Revision: https://reviews.llvm.org/D113375
After replacing then init_tensor with a new value, the new value must be inserted into the corresponding union/equivalence sets.
Differential Revision: https://reviews.llvm.org/D113374
Simply emit traits, interfaces & effects (with some minimal formatting) to the
generated docs to make this information easier to find in the docs.
Differential Revision: https://reviews.llvm.org/D113539
This patch fixes:
mlir/lib/Dialect/Linalg/ComprehensiveBufferize/ComprehensiveBufferize.cpp:2240:13:
error: unused function 'checkAliasInfoConsistency'
[-Werror,-Wunused-function]
New TOSA pad operation can support explicitly specifying the pad value. Added
lowering to linalg that uses the explicit value.
Differential Revision: https://reviews.llvm.org/D113515
When doing topological sort we need to make sure an op is scheduled before any
of the ops within its regions.
Also change the algorithm to not be recursive in order to prevent potential
stack overflow.
Differential Revision: https://reviews.llvm.org/D113423
Use existing helper instead of handling only a subset of indices lowering
arithmetic. Also relax the restriction on the memref rank for the GPU mma ops
as we can now support any rank.
Differential Revision: https://reviews.llvm.org/D113383
Given that LLVM dialect types may now optionally contain types from other
dialects, which itself is motivated by dialect interoperability and progressive
lowering, the conversion should no longer assume that the outermost LLVM
dialect type can be left as is. Instead, it should inspect the types it
contains and attempt to convert them to the LLVM dialect. Introduce this
capability for LLVM array, pointer and structure types. Only literal structures
are currently supported as handling identified structures requires the
converison infrastructure to have a mechanism for avoiding infite recursion in
case of recursive types.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D112550
Remove the getSmallestBoundingIndex method that has no uses anymore.
Depends On D113548
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113549
Replace the getSmallestBoundingIndex method used in promotion by getConstantUpperBoundForIndex that uses flat affine constraints to compute a constant upper bound.
Depends On D113546
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113548
Use the custom upper bound computation in hoisting by the new getUpperBoundForIndex method.
Depends On D113546
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113547
Use CodegenStrategy instead of a separate test pass to test iterator interchange.
Depends On D113409
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113550
Remove padding test pass that was replaced by CodegenStrategy.
Depends On D113411
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113412
Replace the getSmallestBoundingIndex method used in padding by getConstantUpperBoundForIndex that uses flat affine constraints to compute a constant upper bound.
Depends On D113398
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113546
Use CodegenStrategy instead of a separate test pass to test hoisting.
Depends On D113410
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113411
Use CodegenStrategy instead of a separate test pass to test padding.
Depends On D113409
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113410
Use AffineApplyOp instead of SubIOp to compute the padding width when creating a pad tensor operation.
Depends On D113382
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113404
Add a flag to control if CodegenStrategy runs the EnablePass between the transformations.
Depends On D113382
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113409
Remove unused members and store the indexing and packing loops in SmallVector.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113398
Remove the padding options from the tiling options since padding is now implemented by a separate pattern/pass introduced in https://reviews.llvm.org/D112412.
The revsion remove the tile-and-pad-tensors.mlir and replaces it with the pad.mlir that tests padding in isolation (without tiling). Similarly, hoist-padding.mlir is replaced by pad-and-hoist.mlir introduced in https://reviews.llvm.org/D112713.
Depends On D112838
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D113382