It was a StructAttr. Also adds a FieldParser for AffineMap.
Depends on D127348
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D127350
Introduce RoundOp in the math dialect. The operation rounds the operand to the
nearest integer value in floating-point format. RoundOp lowers to LLVM
intrinsics 'llvm.intr.round' or as a function call to libm (round or roundf).
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D127286
A few OpenMP tests were retaining the FIR operands even after running
the LLVM conversion pass. To fix these tests the legality checkes for
OpenMP conversion are made stricter to include operands and results.
The Flush, Single and Sections operations are added to conversions or
legality checks. The RegionLessOpConversion is appropriately renamed
to clarify that it works only for operations with Variable operands.
The operands of the flush operation are changed to match those of
Variable Operands.
Fix for an OpenMP issue mentioned in
https://github.com/llvm/llvm-project/issues/55210.
Reviewed By: shraiysh, peixin, awarzynski
Differential Revision: https://reviews.llvm.org/D127092
Add complex.conj op to calculate the complex conjugate which is widely used for the mathematical operation on the complex space.
Reviewed By: pifon2a
Differential Revision: https://reviews.llvm.org/D127181
Transpose operations on constant data were getting folded during the
canonicalization process. This has compile time cost proportional to
the constant size. Moving this to a separate pass to enable optionality
and flexibility of how such scenarios can be handled.
Reviewed By: rsuderman, jpienaar, stellaraccident
Differential Revision: https://reviews.llvm.org/D124685
Prior to this patch, the lowering of memref.reshape operations to the
LLVM dialect failed if the shape argument had a static shape with
dynamic dimensions. This patch adds the necessary support so that when
the shape argument has dynamic values, the lowering probes the dimension
at runtime to set the size in the `MemRefDescriptor` type. This patch
also computes the stride for dynamic dimensions by deriving it from the
sizes of the inner dimensions.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D126604
I don't see a point here in the lit tests here since sqrt, mul and other ops
expand as well. I just added "smoke" tests to verify that the conversion works
and does not create any illegal ops.
I will create a patch that adds a simple integration test to
mlir/test/Integration/Dialect/ComplexOps/ that will compare the values.
Differential Revision: https://reviews.llvm.org/D126539
This supports the operation conversion for threadprivate directive. The
support for memref type conversion is not implemented.
Reviewed By: kiranchandramohan, shraiysh
Differential Revision: https://reviews.llvm.org/D124610
This patch adds support for Calling Convention attribute in LLVM
dialect, including enums, custom syntax and import from LLVM IR.
Additionally fix import of dso_local attribute.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D126161
TOSAs depthwise_conv2d operation includes a reshape to include the implicit x1 dimension.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D126212
AsyncCopyOp lowering converted "size in elements" to "size in bytes"
assuming the element type size is at least one byte. This removes
that restriction, allowing for types such as i4 and b1 to be handled
correctly.
Differential Revision: https://reviews.llvm.org/D125838
This changes adds missing support for the i4 data type. Tests are added
to ensure proper lowering of an nvgpu.mma.sync operation targeting the
16x8x64xi4 and 16x8x32xi4 MMA variants in the NVVM dialect.
Differential Revision: https://reviews.llvm.org/D126092
This changes adds the option to lower to NvGpu dialect ops during the
VectorToGPU convsersion pass. Because this transformation reuses
existing VectorToGPU logic, a seperate VectorToNvGpu conversion pass is
not created. The option `use-nvgpu` is added to the VectorToGPU pass.
When this is true, the pass will attempt to convert slices rooted at
`vector.contract` operations into `nvgpu.mma.sync` ops, and
`vector.transfer_read` ops are converted to either `nvgpu.ldmatrix` or
one or more `vector.load` operations. The specific data loaded will
depend on the thread id within a subgroup (warp). These index
calculations depend on data type and shape of the MMA op
according to the downstream PTX specification. The code for supporting
these details is separated into `NvGpuSupport.cpp|h`.
Differential Revision: https://reviews.llvm.org/D122940
Lowering through libm gives us a baseline version, even though it's not
going to be particularly fast. This is similar to what we do for some
math dialect ops.
Differential Revision: https://reviews.llvm.org/D125550
Added handling rounding behavior in 32-bits for when possible. This
avoids kernel compilation generating scalarized code on platforms where
64-bit vectors are not available.
As the 48-bit lowering requires 64-bit anyway, we added a full 64-bit
solution simplifying the old path.
Reviewed By: dcaballe, mravishankar
Differential Revision: https://reviews.llvm.org/D125583
We were custom counting per bit for the clz instruction. Math dialect
now has an intrinsic to do this in one instruction. Migrated to this
instruction and fixed a minor bug math-to-llvm for the intrinsic.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D125592
This pass is to handle computationally complex operations like
tensor.pad which are not simply lowered to the exact same operation in
the memref dialect.
Differential Revision: https://reviews.llvm.org/D125384
This patch references code for translating memref.reinterpret_cast ops
to add translation rules for memref.reshape ops that have a static shape
argument. Since reshape ops don't have offsets, sizes, or strides, this
patch simply sets the allocated and aligned pointers of the MemRef
descriptor.
Reviewed By: ftynse, cathyzhyi
Differential Revision: https://reviews.llvm.org/D125039
Move async copy operations to NVGPU as they only exist on NV target and are
designed to match ptx semantic. This allows us to also add more fine grain
caching hint attribute to the op.
Add hint to bypass L1 and hook it up to NVVM op.
Differential Revision: https://reviews.llvm.org/D125244
This ensures that attributes such as the index bitwidth propagate
correctly to the AMDGPUToROCDL patterns.
Differential Revision: https://reviews.llvm.org/D125320
By analogy with the NVGPU dialect, introduce an AMDGPU dialect for
AMD-specific intrinsic wrappers.
The dialect initially includes wrappers around the raw buffer intrinsics.
On AMD GPUs, a memref can be converted to a "buffer descriptor" that
allows more precise control of memory access, such as by allowing for
out of bounds loads/stores to be replaced by 0/ignored without adding
additional conditional logic, which is important for performance.
The repository currently contains a limited conversion from
transfer_read/transfer_write to Mubuf intrinsics, which are an older,
deprecated intrinsic for the same functionality.
The new amdgpu.raw_buffer_* ops allow these operations to be used
explicitly and for including metadata such as whether the target
chipset is an RDNA chip or not (which impacts the interpretation of
some bits in the buffer descriptor), while still maintaining an
MLIR-like interface.
(This change also exposes the floating-point atomic add intrinsic.)
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D122765
Add attribute to be able to generate the intrinsic version of async copy
generating a copy with l1 bypass. This correspond to
cp.async.cg.shared.global in ptx.
Differential Revision: https://reviews.llvm.org/D125241
libm doesn't have overloads for the small types, so promote them to a
bigger type and use the f32 function.
Differential Revision: https://reviews.llvm.org/D125093
Adds missing logic in the lowering from NvGPU to NVVM to support fp32
(in an accumulator operand) and tf32 (in multiplicand operand) types.
Fixes logic in one of the helper functions for converting the result
of a mma.sync operation with multiple 8x256bit output tiles, which is
the case for f32 outputs.
Differential Revision: https://reviews.llvm.org/D124533
There are only a couple of warnings when compiling with VS on Windows. This fixes the last remaining warnings so that we can enable LLVM_ENABLE_WERROR on the mlir windows bot.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D124862
The current implementation uses a discrete "pdl_interp.inferred_types"
operation, which acts as a "fake" handle to a type range. This op is
used as a signal to pdl_interp.create_operation that types should be
inferred. This is terribly awkward and clunky though:
* This op doesn't have a byte code representation, and its conversion
to bytecode kind of assumes that it is only used in a certain way. The
current lowering is also broken and seemingly untested.
* Given that this is a different operation, it gives off the assumption
that it can be used multiple times, or that after the first use
the value contains the inferred types. This isn't the case though,
the resultant type range can never actually be used as a type range.
This commit refactors the representation by removing the discrete
InferredTypesOp, and instead adds a UnitAttr to
pdl_interp.CreateOperation that signals when the created operations
should infer their types. This leads to a much much cleaner abstraction,
a more optimal bytecode lowering, and also allows for better error
handling and diagnostics when a created operation doesn't actually
support type inferrence.
Differential Revision: https://reviews.llvm.org/D124587
Only supports addition and multiplication for now; other cases
to be implemented.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124380
`index` type is converted to `i32` in SPIR-V. This is fine to
support for all signed/unsigned ops.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124451
This change borrows the ideas from `computeExpanded/CollapsedLayoutMap`
and computes the dynamic strides at runtime for the memref descriptors.
Differential Revision: https://reviews.llvm.org/D124001
Now that dialect constructors are generated in the .cpp file, we can
drop all of the dependent dialect includes from the .h file.
Differential Revision: https://reviews.llvm.org/D124298
