[Mlir-commits] [mlir] [MLIR][NVVM] Add support for f6x2 conversion (PR #136537)
Durgadoss R
llvmlistbot at llvm.org
Tue Apr 22 12:03:21 PDT 2025
================
@@ -1066,6 +1066,56 @@ def NVVM_CvtFloatToTF32Op : NVVM_Op<"cvt.float.to.tf32"> {
}];
}
+def CVTFP6E2M3 : I32EnumAttrCase<"E2M3", 0, "e2m3">;
+def CVTFP6E3M2 : I32EnumAttrCase<"E3M2", 1, "e3m2">;
+
+def CVTFP6Type : I32EnumAttr<"CVTFP6Type", "NVVM CVTFP6Type kind",
+ [CVTFP6E2M3, CVTFP6E3M2]> {
+ let genSpecializedAttr = 0;
+ let cppNamespace = "::mlir::NVVM";
+}
+def CVTFP6TypeAttr : EnumAttr<NVVM_Dialect, CVTFP6Type, "cvt_fp6_type"> {
+ let assemblyFormat = "`<` $value `>`";
+}
+
+def NVVM_CvtToF6x2Op : NVVM_Op<"cvt.to.f6x2"> {
+ let summary = "Convert the given float input to f6x2";
+ let description = [{
+ This Op converts the given float input to f6x2.
+ The result `dst` is represented either as an i16 type or a vector
+ of two i8 types.
+ The `relu` attribute, when set, lowers to the '.relu' variant of
+ the cvt instruction. The `rnd` and `sat` attributes specify the
+ the rounding and saturation modes respectively.
+
+ [For more information, see PTX ISA](https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#data-movement-and-conversion-instructions-cvt)
+ }];
+ let results = (outs AnyTypeOf<[I16, VectorOfLengthAndType<[2], [I8]>]>:$dst);
+ let arguments = (ins
+ CVTFP6TypeAttr:$type,
+ F32:$a,
+ F32:$b,
+ DefaultValuedAttr<FPRoundingModeAttr, "FPRoundingMode::RN">:$rnd,
+ DefaultValuedAttr<SaturationModeAttr, "SaturationMode::SATFINITE">:$sat,
----------------
durga4github wrote:
Looking at the PTX ISA, it seems this variant of `cvt` always needs rn and satfinite currently.
So, I believe, we do not need these two attrs now and can introduce them later if required.
Please let me know if I am missing something here..
https://github.com/llvm/llvm-project/pull/136537
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