================
@@ -1378,19 +1378,85 @@ The AMDGPU backend implements the following LLVM IR
intrinsics.
0: Target default
preference,
1: `Iterative strategy`, and
2: `DPP`.
- If target does not support
the DPP operations (e.g. gfx6/7),
+ If the target does not
support the DPP operations (e.g. gfx6/7),
reduction will be performed
using default iterative strategy.
- Intrinsic is currently only
implemented for i32.
+ Intrinsic is implemented
for i32 and i64 types.
+
+ llvm.amdgcn.wave.reduce.min Similar to
`llvm.amdgcn.wave.reduce.umin`, but performs a signed min
+ reduction on signed
integers.
+ Intrinsic is implemented
for i32 and i64 types.
+
+ llvm.amdgcn.wave.reduce.fmin Similar to
`llvm.amdgcn.wave.reduce.umin`, but performs a floating point min
+ reduction on floating point
values.
+ Intrinsic is implemented
for float and double types.
+ NAN values are not
canonnicalized.
+ The ordering behaviour of
SNANs is non-deterministic.
llvm.amdgcn.wave.reduce.umax Performs an arithmetic
unsigned max reduction on the unsigned values
provided by each lane in
the wavefront.
Intrinsic takes a hint for
reduction strategy using second operand
0: Target default
preference,
1: `Iterative strategy`, and
2: `DPP`.
- If target does not support
the DPP operations (e.g. gfx6/7),
+ If the target does not
support the DPP operations (e.g. gfx6/7),
reduction will be performed
using default iterative strategy.
- Intrinsic is currently only
implemented for i32.
+ Intrinsic is implemented
for i32 and i64 types.
+
+ llvm.amdgcn.wave.reduce.max Similar to
`llvm.amdgcn.wave.reduce.umax`, but performs a signed max
+ reduction on signed
integers.
+ Intrinsic is implemented
for i32 and i64 types.
+
+ llvm.amdgcn.wave.reduce.fmax Similar to
`llvm.amdgcn.wave.reduce.umax`, but performs a floating point max
+ reduction on floating point
values.
+ Intrinsic is implemented
for float and double types.
+ NAN values are not
canonnicalized.
----------------
arsenm wrote:
```suggestion
```
Same as above, reference llvm.maxnum
https://github.com/llvm/llvm-project/pull/175132
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