This diff adds initial (partial) support for "fastmath" attributes for floating
point operations in the arithmetic dialect. The "fastmath" attributes are
implemented using a default-valued bit enum. The defined flags currently mirror
the fastmath flags in the LLVM dialect (and in LLVM itself). Extending the
set of flags (if necessary) is left as a future task.
In this diff:
- Definition of FastMathAttr as a custom attribute in the Arithmetic dialect
that inherits from the EnumAttr class.
- Definition of ArithFastMathInterface, which is an interface that is
implemented by operations that have an arith::fastmath attribute.
- Declaration of a default-valued fastmath attribute for unary and (some) binary
floating point operations in the Arithmetic dialect.
- Conversion code to lower arithmetic fastmath flags to LLVM fastmath flags
NOT in this diff (but planned or currently in progress):
- Documentation of flag meanings
- Addition of FastMathAttr attributes to other dialects that might lower to the
Arithmetic dialect (e.g. Math and Complex)
- Folding/rewrite implementations that are enabled by fastmath flags
- Specification of fastmath values from Python bindings (pending other in-
progress diffs)
Reviewed By: mehdi_amini, vzakhari
Differential Revision: https://reviews.llvm.org/D126305
Currently vector.gather only supports reading memory into a 1-D result vector.
This patch extends it to support an n-D result vector with the indices, masks,
and passthroughs in n-D vectors.
As we are trying to vectorize tensor.extract with vector.gather
(https://github.com/iree-org/iree/issues/9198), it will need to gather the
elements into an n-D vector. Having vector.gather with n-D results allows us
to avoid flatten and reshape at the vectorization stage. The backends can then
decide the optimal ways to lower the vector.gather op.
Note that this is different from n-D gathering, which is about reading n-D
memory with the n-D indices. The indices here are still only 1-D offsets on
the base.
Reviewed By: dcaballe
Differential Revision: https://reviews.llvm.org/D131905
This patch "modernizes" the LLVM `insertvalue` and `extractvalue`
operations to use DenseI64ArrayAttr, since they only require an array of
indices and previously there was confusion about whether to use i32 or
i64 arrays, and to use assembly format.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D131537
This provides a way to create an operation without manipulating
OperationState directly. This is useful for creating unregistered ops.
Reviewed By: rriddle, mehdi_amini
Differential Revision: https://reviews.llvm.org/D120787
This class and classes that extend it are general utilities for any dialect
that is being converted into the LLVM dialect. They are in no way specific to
Standard-to-LLVM conversion and should not make their users depend on it.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D105542
