Summary:
This revision replaces MatmulOp, now that DRR rules have been dropped.
This revision also fixes minor parsing bugs and a plugs a few holes to get e2e paths working (e.g. library call emission).
During the replacement the i32 version had to be dropped because only the EDSC operators +, *, etc support type inference.
Deciding on a type-polymorphic behavior, and implementing it, is left for future work.
Reviewers: aartbik
Subscribers: mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, msifontes
Tags: #mlir
Differential Revision: https://reviews.llvm.org/D81935
Fix memref region compute for 0-d memref accesses in certain cases (when
there are loops surrounding such 0-d accesses).
Differential Revision: https://reviews.llvm.org/D81792
- Modify HasParent trait to allow one of several op's as a parent -
- Expose this trait in the ODS framework using the ParentOneOf<> trait.
Differential Revision: https://reviews.llvm.org/D81880
Summary: FileLineColLoc allows the column and line to be zero to represent unknown column and/or unknown line/column information. However, SourceMgr::FindLocForLineAndColumn treats line 0 and col 0 valid and pointing to the first line and col, respectively. To adapt this mismatch in semantics, we explicitly check line/col being zeros in SourceMgrDiagnosticHandler::convertLocToSMLoc
Differential Revision: https://reviews.llvm.org/D80258
This allows for passing a lambda to addDynamicallyLegalDialect without needing to explicit wrap with Optional<DynamicLegalityCallbackFn>.
Differential Revision: https://reviews.llvm.org/D81680
It is quite common for the same type to be converted many types throughout the conversion process, and there isn't any good reason why we aren't caching that result. Especially given that we currently use identity conversion to signify legality. This revision also adds a few additional helpers to TypeConverter.
Differential Revision: https://reviews.llvm.org/D81679
This revision replaces MatmulOp, now that DRR rules have been dropped.
This revision also fixes minor parsing bugs and a plugs a few holes to get e2e paths working (e.g. library call emission).
During the replacement the i32 version had to be dropped because only the EDSC operators +, *, etc support type inference.
Deciding on a type-polymorphic behavior, and implementing it, is left for future work.
Differential Revision: https://reviews.llvm.org/D79762
Summary:
Previous submit of new tests accidentally made this ON.
The tests should be opt-in.
To build with MLIR integration tests enabled, pass the following
cmake .... \
-DMLIR_INCLUDE_INTEGRATION_TESTS=ON \
....
Reviewers: mehdi_amini
Subscribers: mgorny, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, msifontes
Tags: #mlir
Differential Revision: https://reviews.llvm.org/D81878
This is intended to avoid programming mistake where a temporary OpOperand is
created, for example:
for (OpOperand user : result.getUsers()) {
It can be confusing for the user, in particular since in MLIR most classes are intended to
be copied around by value while they have reference semantics.
Differential Revision: https://reviews.llvm.org/D81815
This reverts commit 32c757e4f8.
Broke the build bot:
******************** TEST 'MLIR :: Examples/standalone/test.toy' FAILED ********************
[...]
/tmp/ci-KIMiRFcVZt/lib/libMLIRLinalgToLLVM.a(LinalgToLLVM.cpp.o): In function `(anonymous namespace)::ConvertLinalgToLLVMPass::runOnOperation()':
LinalgToLLVM.cpp:(.text._ZN12_GLOBAL__N_123ConvertLinalgToLLVMPass14runOnOperationEv+0x100): undefined reference to `mlir::populateExpandTanhPattern(mlir::OwningRewritePatternList&, mlir::MLIRContext*)'
Summary:
This CL introduces an integration test directory for MLIR in general, with
vector dialect integration tests in particular as a first working suite. To
run all the integration tests (and currently just the vector suite):
$ cmake --build . --target check-mlir-integration
[0/1] Running the MLIR integration tests
Testing Time: 0.24s
Passed: 22
The general call is to contribute to this integration test directory with more
tests and other suites, running end-to-end examples that may be too heavy for
the regular test directory, but should be tested occasionally to verify the
health of MLIR.
Background discussion at:
https://llvm.discourse.group/t/vectorops-rfc-add-suite-of-integration-tests-for-vector-dialect-operations/1213/
Reviewers: nicolasvasilache, reidtatge, andydavis1, rriddle, ftynse, mehdi_amini, jpienaar, stephenneuendorffer
Reviewed By: nicolasvasilache, stephenneuendorffer
Subscribers: mgorny, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, msifontes
Tags: #mlir
Differential Revision: https://reviews.llvm.org/D81626
Summary:
Add a pattern for expanding tanh op into exp form.
A `tanh` is expanded into:
1) 1-exp^{-2x} / 1+exp^{-2x}, if x => 0
2) exp^{2x}-1 / exp^{2x}+1 , if x < 0.
Differential Revision: https://reviews.llvm.org/D81618
Similarly to `scf::ForOp`, introduce additional `function_ref` arguments to
`AffineForOp::build` that can be used to populate the body of the loop during
its construction. Provide compatibility functions for constructing affine loop
nests using `edsc::ScopedContext`.
`edsc::AffineLoopNestBuilder` and reletad functionality is now deprecated and
will be removed soon, users are expected to switch to `affineLoopNestBuilder`
that provides similar functionality with a simpler OpBuilder-based
implementation.
Differential Revision: https://reviews.llvm.org/D81754
In the affine symbol and dimension check, the code currently assumes
`getAffineScope` and its users `isValidDim` and `isValidSymbol` are only called
on values defined in regions that have a parent Op with `AffineScope` trait.
This is not necessarily the case, and these functions may be called on valid IR
that does not satisfy this assumption. Return `nullptr` from `getAffineScope`
if there is no parent op with `AffineScope` trait. Treat this case
conservatively in `isValidSymbol` by only accepting as symbols the values that
are guaranteed to be symbols (constants, and certain operations). No
modifications are necessary to `isValidDim` that delegates most of the work to
`isValidDim`.
Differential Revision: https://reviews.llvm.org/D81753
Use ::Adaptor alias instead uniformly. Makes the naming more consistent as
adaptor can refer to attributes now too.
Differential Revision: https://reviews.llvm.org/D81789
allocations cannot be moved freely and can remain in divergent control flow.
The current BufferPlacement pass does not support allocation nodes that carry
additional dependencies (like in the case of dynamic shaped types). These
allocations can often not be moved freely and in turn might remain in divergent
control-flow branches. This requires a different strategy with respect to block
arguments and aliases. This CL adds additinal functionality to support
allocation nodes in divergent control flow while avoiding memory leaks.
Differential Revision: https://reviews.llvm.org/D79850
This patch has shift ops conversion implementation. In SPIR-V dialect,
`Shift` and `Base` may have different bit width. On the contrary,
in LLVM dialect both `Base` and `Shift` have to be of the same bit width.
This leads to the following cases:
- if `Base` has the same bit width as `Shift`, the conversion is
straightforward.
- if `Base` has a greater bit width than `Shift`, shift is sign/zero
extended first. Then the extended value is passed to the shift.
- otherwise the conversion is considered to be illegal.
Differential Revision: https://reviews.llvm.org/D81546
Modify structure type in SPIR-V dialect to support:
1) Multiple decorations per structure member
2) Key-value based decorations (e.g., MatrixStride)
This commit kept the Offset decoration separate from members'
decorations container for easier implementation and logical clarity.
As such, all references to Structure layoutinfo are now offsetinfo,
and any member layout defining decoration (e.g., RowMajor for Matrix)
will be add to the members' decorations container along with its
value if any.
Differential Revision: https://reviews.llvm.org/D81426
Summary:
Add Adaptor alias alongside OperandAdaptor to make next renaming more
mechanical. OperandAdaptor's are no longer just about operands.
Considered OpAdaptor too, but then noticed we'd mostly end up with
XOp::OpAdaptor which seems redundant.
Differential Revision: https://reviews.llvm.org/D81741
Add `NoSideEffect` trait to `shape.to_extent_tensor` and
`shape.from_extent_tensor` and defined custom assembly format for the
operations.
Differential Revision: https://reviews.llvm.org/D81158
Summary: * This library is special because of its dependencies so seems to have been inadvertently left out of installs.
Reviewers: antiagainst
Subscribers: mgorny, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, msifontes
Tags: #mlir
Differential Revision: https://reviews.llvm.org/D81693
This option avoids to accidentally reuse variable across -LABEL match,
it can be explicitly opted-in by prefixing the variable name with $
Differential Revision: https://reviews.llvm.org/D81531
Modify structure type in SPIR-V dialect to support:
1) Multiple decorations per structure member
2) Key-value based decorations (e.g., MatrixStride)
This commit kept the Offset decoration separate from members'
decorations container for easier implementation and logical clarity.
As such, all references to Structure layoutinfo are now offsetinfo,
and any member layout defining decoration (e.g., RowMajor for Matrix)
will be add to the members' decorations container along with its
value if any.
Differential Revision: https://reviews.llvm.org/D81426
Implemented `FComparePattern` and `IComparePattern` classes
that provide conversion of SPIR-V comparison ops (such as
`spv.FOrdGreaterThanEqual` and others) to LLVM dialect.
Also added tests in `comparison-ops-to-llvm.mlir`.
Differential Revision: https://reviews.llvm.org/D81487
This patch changes the fusion algorithm so that after fusing two loop nests
we revisit previously visited nodes so that they are considered again for
fusion in the context of the new fused loop nest.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D81609
Summary:
* extra ';' in the following files:
mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp
mlir/lib/Dialect/Shape/IR/Shape.cpp
* base class ‘mlir::ConvertVectorToSCFBase<ConvertVectorToSCFPass>’
should be explicitly initialized in the copy constructor [-Wextra] in
mlir/lib/Conversion/VectorToSCF/VectorToSCF.cpp
* warning: ‘bool Expression::operator==(const Expression&) const’
defined but not used [-Wunused-function] in
mlir/tools/mlir-linalg-ods-gen/mlir-linalg-ods-gen.cpp
Differential Revision: https://reviews.llvm.org/D81673
Code example in MLIR Linalg doc fixed because it referenced non-existing variables and some parameters were of wrong types.
Differential Revision: https://reviews.llvm.org/D81633
Summary:
- Print function name when ReturnOp verification fails
- This helps easily finding the invalid ReturnOp in an IR dump.
Differential Revision: https://reviews.llvm.org/D81513
Summary:
We now support index casting for tensor<index> to tensor<int>. This
better supports compatibility with the Shape dialect.
Differential Revision: https://reviews.llvm.org/D81611
Summary: At this point Parser has grown to be over 5000 lines and can be very difficult to navigate/update/etc. This commit splits Parser.cpp into several sub files focused on parsing specific types of entities; e.g., Attributes, Types, etc.
Differential Revision: https://reviews.llvm.org/D81299
Modify structure type in SPIR-V dialect to support:
1) Multiple decorations per structure member
2) Key-value based decorations (e.g., MatrixStride)
This commit kept the Offset decoration separate from members'
decorations container for easier implementation and logical clarity.
As such, all references to Structure layoutinfo are now offsetinfo,
and any member layout defining decoration (e.g., RowMajor for Matrix)
will be add to the members' decorations container along with its
value if any.
Differential Revision: https://reviews.llvm.org/D81426
Following the previous revision `D81100`, this commit implements a templated class
that would provide conversion patterns for “straightforward” SPIR-V ops into
LLVM dialect. Templating allows to abstract away from concrete implementation
for each specific op. Those are mainly binary operations. Currently supported
and tested ops are:
- Arithmetic ops: `IAdd`, `ISub`, `IMul`, `FAdd`, `FSub`, `FMul`, `FDiv`, `FNegate`,
`SDiv`, `SRem` and `UDiv`
- Bitwise ops: `BitwiseAnd`, `BitwiseOr`, `BitwiseXor`
The implementation relies on `SPIRVToLLVMConversion` class that makes use of
`OpConversionPattern`.
Differential Revision: https://reviews.llvm.org/D81305
The tutorial refers to invoking toyc with '-mlir-print-debuginfo' but
it wasn't registered anymore.
Differential Revision: https://reviews.llvm.org/D81604
Allow for dynamic indices in the `dim` operation.
Rather than an attribute, the index is now an operand of type `index`.
This allows to apply the operation to dynamically ranked tensors.
The correct lowering of dynamic indices remains to be implemented.
Differential Revision: https://reviews.llvm.org/D81551
The operation `get_extent` now accepts the dimension as an operand and is no
longer limited to constant dimensions.
A helper function facilitates the common constant use case.
Differential Revision: https://reviews.llvm.org/D81248
This is useful for manipulating the standard dialect from transformations
outside of the standard dialect.
Differential Revision: https://reviews.llvm.org/D80609
Summary:
Even though this operation is intended for 1d/2d conversions currently,
leaving a semantic hole in the lowering prohibits proper testing of this
operation. This CL adds a straightforward reference implementation for the
missing cases.
Reviewers: nicolasvasilache, mehdi_amini, ftynse, reidtatge
Reviewed By: reidtatge
Subscribers: mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, msifontes
Tags: #mlir
Differential Revision: https://reviews.llvm.org/D81503
Having the input dumped on failure seems like a better
default: I debugged FileCheck tests for a while without knowing
about this option, which really helps to understand failures.
Remove `-dump-input-on-failure` and the environment variable
FILECHECK_DUMP_INPUT_ON_FAILURE which are now obsolete.
Differential Revision: https://reviews.llvm.org/D81422
Summary:
The NVVM target only provides implementations for tanh etc. on f32 and
f64 operands. To also support f16, we now insert operations to extend to f32
and truncate back to f16 around the intrinsic call.
Differential Revision: https://reviews.llvm.org/D81473
Summary:
UnrankedMemRefType doesn't have a rank but previously this was just
checking for unranked tensor. Avoids failure later if one queries the shape
post checking if ranked.
Differential Revision: https://reviews.llvm.org/D81441
These commits set up the skeleton for SPIR-V to LLVM dialect conversion.
I created SPIR-V to LLVM pass, registered it in Passes.td, InitAllPasses.h.
Added a pattern for `spv.BitwiseAndOp` and tests for it. Integer, float
and vector types are converted through LLVMTypeConverter.
Differential Revision: https://reviews.llvm.org/D81100
The SSA values created with `shape.const_size` are now named depending on the
value.
A constant size of 3, e.g., is now automatically named `%c3`.
Differential Revision: https://reviews.llvm.org/D81249
The operations `to_extent_tensor` and `from_extent_tensor` become no-ops when
lowered to the standard dialect.
This is possible with a lowering from `shape.shape` to `tensor<?xindex>`.
Differential Revision: https://reviews.llvm.org/D81162
This parameter gives the developers the freedom to choose their desired function
signature conversion for preparing their functions for buffer placement. It is
introduced for BufferAssignmentFuncOpConverter, and also for
BufferAssignmentReturnOpConverter, and BufferAssignmentCallOpConverter to adapt
the return and call operations with the selected function signature conversion.
If the parameter is set, buffer placement won't also deallocate the returned
buffers.
Differential Revision: https://reviews.llvm.org/D81137
This patch is a follow-up on https://reviews.llvm.org/D81127
BF16 constants were represented as 64-bit floating point values due to the lack
of support for BF16 in APFloat. APFloat was recently extended to support
BF16 so this patch is fixing the BF16 constant representation to be 16-bit.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D81218
Summary:
This revision adds a common folding pattern that starts appearing on
vector_transfer ops.
Differential Revision: https://reviews.llvm.org/D81281
This allows verifying op-indepent attributes (e.g., attributes that do not require the op to have been created) before constructing an operation. These include checking whether required attributes are defined or constraints on attributes (such as I32 attribute). This is not perfect (e.g., if one had a disjunctive constraint where one part relied on the op and the other doesn't, then this would not try and extract the op independent from the op dependent).
The next step is to move these out to a trait that could be verified earlier than in the generated method. The first use case is for inferring the return type while constructing the op. At that point you don't have an Operation yet and that ends up in one having to duplicate the same checks, e.g., verify that attribute A is defined before querying A in shape function which requires that duplication. Instead this allows one to invoke a method to verify all the traits and, if this is checked first during verification, then all other traits could use attributes knowing they have been verified.
It is a little bit funny to have these on the adaptor, but I see the adaptor as a place to collect information about the op before the op is constructed (e.g., avoiding stringly typed accessors, verifying what is possible to verify before the op is constructed) while being cheap to use even with constructed op (so layer of indirection between the op constructed/being constructed). And from that point of view it made sense to me.
Differential Revision: https://reviews.llvm.org/D80842
Improve consistency when printing test results:
Previously we were using different labels for group names (the header
for the list of, e.g., failing tests) and summary count lines. For
example, "Failing Tests"/"Unexpected Failures". This commit changes lit
to label things consistently.
Improve wording of labels:
When talking about individual test results, the first word in
"Unexpected Failures", "Expected Passes", and "Individual Timeouts" is
superfluous. Some labels contain the word "Tests" and some don't.
Let's simplify the names.
Before:
```
Failing Tests (1):
...
Expected Passes : 3
Unexpected Failures: 1
```
After:
```
Failed Tests (1):
...
Passed: 3
Failed: 1
```
Reviewed By: ldionne
Differential Revision: https://reviews.llvm.org/D77708
Summary:
`mlir-rocm-runner` is introduced in this commit to execute GPU modules on ROCm
platform. A small wrapper to encapsulate ROCm's HIP runtime API is also inside
the commit.
Due to behavior of ROCm, raw pointers inside memrefs passed to `gpu.launch`
must be modified on the host side to properly capture the pointer values
addressable on the GPU.
LLVM MC is used to assemble AMD GCN ISA coming out from
`ConvertGPUKernelToBlobPass` to binary form, and LLD is used to produce a shared
ELF object which could be loaded by ROCm HIP runtime.
gfx900 is the default target be used right now, although it could be altered via
an option in `mlir-rocm-runner`. Future revisions may consider using ROCm Agent
Enumerator to detect the right target on the system.
Notice AMDGPU Code Object V2 is used in this revision. Future enhancements may
upgrade to AMDGPU Code Object V3.
Bitcode libraries in ROCm-Device-Libs, which implements math routines exposed in
`rocdl` dialect are not yet linked, and is left as a TODO in the logic.
Reviewers: herhut
Subscribers: mgorny, tpr, dexonsmith, mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, csigg, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, llvm-commits
Tags: #mlir, #llvm
Differential Revision: https://reviews.llvm.org/D80676
Add support for flat, location, and noperspective decorations in the
serializer and deserializer to be able to process basic shader files
for graphics applications.
Differential Revision: https://reviews.llvm.org/D80837
Recently introduced allocation hoisting is quite conservative on the cases when it triggers.
This revision makes it such that the allocations for vector transfer lowerings are hoisted
to the top of the function.
This should be revisited in the context of parallelism and is a temporary workaround.
Differential Revision: https://reviews.llvm.org/D81253
This revision adds a helper function to hoist vector.transfer_read /
vector.transfer_write pairs out of immediately enclosing scf::ForOp
iteratively, if the following conditions are true:
1. The 2 ops access the same memref with the same indices.
2. All operands are invariant under the enclosing scf::ForOp.
3. No uses of the memref either dominate the transfer_read or are
dominated by the transfer_write (i.e. no aliasing between the write and
the read across the loop)
To improve hoisting opportunities, call the `moveLoopInvariantCode` helper
function on the candidate loop above which to hoist. Hoisting the transfers
results in scf::ForOp yielding the value that originally transited through
memory.
This revision additionally exposes `moveLoopInvariantCode` as a helper in
LoopUtils.h and updates SliceAnalysis to support return scf::For values and
allow hoisting across multiple scf::ForOps.
Differential Revision: https://reviews.llvm.org/D81199
Forward declaring llvm::errs is not enough, as it is used as a default
parameter with a type that references the base class. So the class
hierarchy must be visible.
Summary:
This will inline the region to a shape.assuming in the case that the
input witness is found to be statically true.
Differential Revision: https://reviews.llvm.org/D80302
In the case of all inputs being constant and equal, cstr_eq will be
replaced with a true_witness.
Differential Revision: https://reviews.llvm.org/D80303
This allows replacing of this op with a true witness in the case of both
inputs being const_shapes and being found to be broadcastable.
Differential Revision: https://reviews.llvm.org/D80304
This allows assuming_all to be replaced when all inputs are known to be
statically passing witnesses.
Differential Revision: https://reviews.llvm.org/D80306
This will later be used during canonicalization and folding steps to replace
statically known passing constraints.
Differential Revision: https://reviews.llvm.org/D80307
Update linalg to affine lowering for convop to use affine load for input
whenever there is no padding. It had always been using std.loads because
max in index functions (needed for non-zero padding if not materializing
zeros) couldn't be represented in the non-zero padding cases.
In the future, the non-zero padding case could also be made to use
affine - either by materializing or using affine.execute_region. The
latter approach will not impact the scf/std output obtained after
lowering out affine.
Differential Revision: https://reviews.llvm.org/D81191
This simplifies a lot of handling of BoolAttr/IntegerAttr. For example, a lot of places currently have to handle both IntegerAttr and BoolAttr. In other places, a decision is made to pick one which can lead to surprising results for users. For example, DenseElementsAttr currently uses BoolAttr for i1 even if the user initialized it with an Array of i1 IntegerAttrs.
Differential Revision: https://reviews.llvm.org/D81047
This revision adds a helper function to hoist alloc/dealloc pairs and
alloca op out of immediately enclosing scf::ForOp if both conditions are true:
1. all operands are defined outside the loop.
2. all uses are ViewLikeOp or DeallocOp.
This is now considered Linalg-specific and will be generalized on a per-need basis.
Differential Revision: https://reviews.llvm.org/D81152
Add SubgroupId, SubgroupSize and NumSubgroups to GPU dialect ops and add the
lowering of those ops to SPIRV.
Differential Revision: https://reviews.llvm.org/D81042
Summary:
If the output filename was specified as "-", the ToolOutputFile class
would create a brand new raw_ostream object referring to the stdout.
This patch changes it to reuse the llvm::outs() singleton.
At the moment, this change should be "NFC", but it does enable other
enhancements, like the automatic stdout/stderr synchronization as
discussed on D80803.
I've checked the history, and I did not find any indication that this
class *has* to use a brand new stream object instead of outs() --
indeed, it is special-casing "-" in a number of places already, so this
change fits the pattern pretty well. I suspect the main reason for the
current state of affairs is that the class was originally introduced
(r111595, in 2010) as a raw_fd_ostream subclass, which made any other
solution impossible.
Another potential benefit of this patch is that it makes it possible to
move the raw_ostream class out of the business of special-casing "-" for
stdout handling. That state of affairs does not seem appropriate because
"-" is a valid filename (albeit hard to access with a lot of command
line tools) on most systems. Handling "-" in ToolOutputFile seems more
appropriate.
To make this possible, this patch changes the return type of
llvm::outs() and errs() to raw_fd_ostream&. Previously the functions
were constructing objects of that type, but returning a generic
raw_ostream reference. This makes it possible for new ToolOutputFile and
other code to use raw_fd_ostream methods like error() on the outs()
object. This does not seem like a bad thing (since stdout is a file
descriptor which can be redirected to anywhere, it makes sense to ask it
whether the writing was successful or if it supports seeking), and
indeed a lot of code was already depending on this fact via the
ToolOutputFile "back door".
Reviewers: dblaikie, JDevlieghere, MaskRay, jhenderson
Subscribers: hiraditya, llvm-commits
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D81078
Summary:
The fusion for tensor_reshape is embedding the information to indexing maps,
thus the exising pattenr also works for indexed_generic ops.
Depends On D80347
Differential Revision: https://reviews.llvm.org/D80348
Summary:
Different from the fusion between generic ops, indices are involved. In this
context, we need to re-map the indices for producer since the fused op is built
on consumer's perspective. This patch supports all combination of the fusion
between indexed_generic ops and generic ops, which includes tests case:
1) generic op as producer and indexed_generic op as consumer.
2) indexed_generic op as producer and generic op as consumer.
3) indexed_generic op as producer and indexed_generic op as consumer.
Differential Revision: https://reviews.llvm.org/D80347
Summary:
Progressive lowering of vector.transpose into an operation that
is closer to an intrinsic, and thus the hardware ISA. Currently
under the common vector transform testing flag, as we prepare
deploying this transformation in the LLVM lowering pipeline.
Reviewers: nicolasvasilache, reidtatge, andydavis1, ftynse
Reviewed By: nicolasvasilache, ftynse
Subscribers: mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul, llvm-commits
Tags: #llvm, #mlir
Differential Revision: https://reviews.llvm.org/D80772
Add a new pass to lower operations from the `shape` to the `std` dialect.
The conversion applies only to the `size_to_index` and `index_to_size`
operations and affected types.
Other patterns will be added as needed.
Differential Revision: https://reviews.llvm.org/D81091
The original design of TypeConverter expected specific converters to derive the
class and override virtual functions for conversions and materializations. This
did not scale well to multi-dialect conversions, so the design was changed to
register a list of converter and materializer functions, removing the need for
virtual functions. The only remaining virtual function, `convertSignatureArg`
is never overridden in-tree. Make it non-virtual, drop the virtual destructor
and thus remove vtable from TypeConverter.
If there exist TypeConverter users that need custom `convertSignatureArg`
behavior, it should be implemented using the callback registration mechanism
similar to that of conversions and materializations.
Differential Revision: https://reviews.llvm.org/D80993
This patch enables affine loop fusion for loops with affine vector loads
and stores. For that, we only had to use affine memory op interfaces in
LoopFusionUtils.cpp and Utils.cpp so that vector loads and stores are
also taken into account.
Reviewed By: andydavis1, ftynse
Differential Revision: https://reviews.llvm.org/D80971
This commit adds basic matrix type support to the SPIR-V dialect
including type definition, IR assembly, parsing, printing, and
(de)serialization.
Differential Revision: https://reviews.llvm.org/D80594
Dialect conversion infrastructure supports 1->N type conversions by requiring
individual conversions to provide facilities to generate operations
retrofitting N values into 1 of the original type when N > 1. This
functionality can also be used to materialize explicit "cast"-like operations,
but it did not support 1->1 type conversions until now. Modify TypeConverter to
support materialization of cast operations for 1-1 conversions.
This also makes materialization specification more extensible following the
same pattern as type conversions. Instead of overloading a virtual function,
users or subclasses of TypeConversion can now register type-specific
materialization callbacks that will be called in order for the given type.
Differential Revision: https://reviews.llvm.org/D79729
One header guard was overlooked when renaming LoopOps to SCF, rename it.
Also drop two unused macros, one of which referred to LoopOp (not "Ops",
hence the overlook).
The lower-to-affine-loops pass in chapters 5-7 of the Toy tutorial has
been creating affine loops, erasing their terminator and creating it
anew using a PatternRewriter instance to work around the fact that
implicit terminators were created without notifying the rewriter. Now
that has been fixed in 3ccf4a5bd1, remove the code erasing and
re-creating the terminators and rely on the default ones.
Tim Shen