Previously, only LinalgOps whose operands are defined by an ExtractSliceOp could be padded. The revision supports walking a use-def chain of LinalgOps to find an ExtractSliceOp.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D122116
Derived destructors can be marked as override, in order to prevent
possible compilation failures of projects depending on those
headers (when compiled with flags -Wall, -Wsuggest-destructor-override,
-Winconsistent-missing-destructor-override).
Differential Revision: https://reviews.llvm.org/D121993
This revision introduces a heuristic to stop fusion for shape-only tensors. A shape-only tensor only defines the shape of the consumer computation while the data is not used. Pure producer consumer fusion thus shall not fuse the producer of a shape-only tensor. In particular, since the shape-only tensor will have other uses that actually consume the data.
The revision enables fusion for consumers that have two uses of the same tensor. One as input operand and one as shape-only output operand. In these cases, we want to fuse only the input operand and avoid output fusion via iteration argument.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D120981
The default expansion for buildvectors is to extract each element and
insert them into a new vector. That involves a lot of copying to/from
the GPR registers. TLB3 and TLB4 can be relatively slow instructions
with the mask needing to be loaded from a constant pool, but they should
always be better than all the moves to/from GPRs.
Differential Revision: https://reviews.llvm.org/D121137
Non-static class members declared under #ifndef NDEBUG should be declared
under #if LLVM_ENABLE_ABI_BREAKING_CHECKS to make headers library-friendly and
allow cross-linking, as discussed in D120714.
Differential Revision: https://reviews.llvm.org/D121549
Since function parameters and return values are passed via param space, we
can force special alignment for values hold in it which will add vectorization
options. This change may be done if the function has private or internal
linkage. Special alignment is forced during 2 phases.
1) Instruction selection lowering. Here we use special alignment for function
prototypes (changing both own return value and parameters alignment), call
lowering (changing both callee's return value and parameters alignment).
2) IR pass nvptx-lower-args. Here we change alignment of byval parameters that
belong to param space (or are casted to it). We only handle cases when all
uses of such parameters are loads from it. For such loads, we can change the
alignment according to special type alignment and the load offset. Then,
load-store-vectorizer IR pass will perform vectorization where alignment
allows it.
Special alignment calculated as maximum from default ABI type alignment and
alignment 16. Alignment 16 is chosen because it's the maximum size of
vectorized ld.param & st.param.
Before specifying such special alignment, we should check if it is a multiple
of the alignment that the type already has. For example, if a value has an
enforced alignment of 64, default ABI alignment of 4 and special alignment
of 16, we should preserve 64.
This patch will be followed by a refactoring patch that removes duplicating
code in handling byval and non-byval arguments.
Differential Revision: https://reviews.llvm.org/D120129
Since function parameters and return values are passed via param space, we
can force special alignment for values hold in it which will add vectorization
options. This change may be done if the function has private or internal
linkage. Special alignment is forced during 2 phases.
1) Instruction selection lowering. Here we use special alignment for function
prototypes (changing both own return value and parameters alignment), call
lowering (changing both callee's return value and parameters alignment).
2) IR pass nvptx-lower-args. Here we change alignment of byval parameters that
belong to param space (or are casted to it). We only handle cases when all
uses of such parameters are loads from it. For such loads, we can change the
alignment according to special type alignment and the load offset. Then,
load-store-vectorizer IR pass will perform vectorization where alignment
allows it.
Special alignment calculated as maximum from default ABI type alignment and
alignment 16. Alignment 16 is chosen because it's the maximum size of
vectorized ld.param & st.param.
Before specifying such special alignment, we should check if it is a multiple
of the alignment that the type already has. For example, if a value has an
enforced alignment of 64, default ABI alignment of 4 and special alignment
of 16, we should preserve 64.
This patch will be followed by a refactoring patch that removes duplicating
code in handling byval and non-byval arguments.
Differential Revision: https://reviews.llvm.org/D121549
In some cases, we need to set alternative toolchain path other than the
default with system (headers, libraries, dynamic linker prefix, ld path,
etc.), e.g., to pick up newer components, but keep sysroot at the same
time (to pick up extra packages).
This change introduces a new option --overlay-platform-toolchain to set
up such alternative toolchain path.
Reviewed By: hubert.reinterpretcast
Differential Revision: https://reviews.llvm.org/D121992
There is no need to lower the implicit lower bounds for assumed-shape
array in lowerExplicitLowerBounds. Remove the unused code.
Reviewed By: Jean Perier
Differential Revision: https://reviews.llvm.org/D122280
Similarly to LBOUND in https://reviews.llvm.org/D121488, UBOUND must
return zero for an empty dimension, no matter the specification
expression.
Add a GetUBOUND method to be used in expression rewrite that prevents
folding UBOUND to a bound specification expression if the extent is
not a compile time constant.
Fold the case where the extents is known to be zero (and also deal with
this case in LBOUND since we can and should to comply with constant
expression requirements).
Differential Revision: https://reviews.llvm.org/D122242
This patch adds lowering support (from PFT to FIR) for sections construct
Reviewed By: kiranchandramohan
Differential Revision: https://reviews.llvm.org/D122302
Move the SourceRange from the old ParsedAttributesWithRange into
ParsedAttributesView, so we have source range information available
everywhere we use attributes.
This also removes ParsedAttributesWithRange (replaced by simply using
ParsedAttributes) and ParsedAttributesVieWithRange (replaced by using
ParsedAttributesView).
Differential Revision: https://reviews.llvm.org/D121201
Add cli options for new passmanager plugin support to lld.
Currently it is not possible to load dynamic NewPM plugins with lld. This is an
incremental update to D76866. While that patch only added cli options for
llvm-lto2, this adds them for lld as well. This is especially useful for running
dynamic plugins on the linux kernel with LTO.
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D120490
Previously, we used empty, non-ELF crti.o, crtn.o, libm.a and libc++.a
files. Instead, we now still use dummies but they are real ELF object
files and archives.
Create the AffineMinOp used to compute the padding width in canonical form and update the tests.
Reviewed By: springerm
Differential Revision: https://reviews.llvm.org/D122311
This patch adds translation for single construct along with nowait
clause from PFT to FIR.
Allocate clause is added as a TODO as handleAllocateClause is added in
D122302.
Reviewed By: kiranchandramohan
Differential Revision: https://reviews.llvm.org/D122324
Add processing of parsing and emiting lrw/jsri/jmpi instruction, including related fixup and relocation.
Add relax support about pseudo instructions such as jbr/jbsr.
Add objdump format support like arm in llvm-objdump.
These attributes were added because of oilist required them earlier. It
no longer requires them and so these attributes can be safely removed
from the operations.
Reviewed By: kiranchandramohan
Differential Revision: https://reviews.llvm.org/D122289
This patch adds translation from omp.single to LLVM IR.
Depends on D122288
Reviewed By: ftynse, kiranchandramohan
Differential Revision: https://reviews.llvm.org/D122297
Nikita Popov