The mask being NoRegister prevented the existing aliases from matching
since NoRegister isn't in the VMV0 register class.
To workaround this I've added new aliases that look for zero_reg.
I had to motify tablegen to generate matching code for zero_reg.
And as a consequence, I had to change the EmitPriority for an ARM
alias that used zero_reg that started printing.
Reviewed By: frasercrmck
Differential Revision: https://reviews.llvm.org/D121496
This matches what the spec uses for the vncvt.x.x.w assembly
pseudoinstruction.
Reviewed By: kito-cheng
Differential Revision: https://reviews.llvm.org/D118295
`zve` is the new standard vector extension to specify varying degrees of
vector support for embedding processors. The `zve` extension is related
to the `zvl` extension and other updates that are added in v1.0.
According to https://github.com/riscv-non-isa/riscv-c-api-doc/pull/21,
Clang defines macro `__riscv_v_max_elen`, `__riscv_v_max_elen_fp` for
`zve` and it can be used by applications that uses the vector extension.
Authored by: Zakk Chen <zakk.chen@sifive.com> @khchen
Co-Authored by: Eop Chen <eop.chen@sifive.com> @eopXD
Reviewed By: craig.topper
Differential Revision: https://reviews.llvm.org/D112408
For large integers (for example, magic numbers generated by
TargetLowering::BuildSDIV when dividing by constant), we may
need about 4~8 instructions to build them.
In the same time, it just takes two instructions to load
constants (with extra cycles to access memory), so it may be
profitable to put these integers into constant pool.
Reviewed By: asb, craig.topper
Differential Revision: https://reviews.llvm.org/D114950
Add an alias of `addi [x], zero, imm` to generate pseudo
instruction li, which makes assembly mush more readable.
For existed tests, users can update them by running script
`llvm/utils/update_llc_test_checks.py`.
Reviewed By: asb
Differential Revision: https://reviews.llvm.org/D112692
If we have a large enough floating point type that can exactly
represent the integer value, we can convert the value to FP and
use the exponent to calculate the leading/trailing zeros.
The exponent will contain log2 of the value plus the exponent bias.
We can then remove the bias and convert from log2 to leading/trailing
zeros.
This doesn't work for zero since the exponent of zero is zero so we
can only do this for CTLZ_ZERO_UNDEF/CTTZ_ZERO_UNDEF. If we need
a value for zero we can use a vmseq and a vmerge to handle it.
We need to be careful to make sure the floating point type is legal.
If it isn't we'll continue using the integer expansion. We could split the vector
and concatenate the results but that needs some additional work and evaluation.
Differential Revision: https://reviews.llvm.org/D111904
