[Mlir-commits] [mlir] [MLIR][NVVM] Add support for converting fp4/6/8 to fp16x2 (PR #162439)
Durgadoss R
llvmlistbot at llvm.org
Wed Oct 8 02:59:09 PDT 2025
================
@@ -1855,6 +1855,111 @@ def NVVM_ConvertBF16x2ToF8x2Op : NVVM_Op<"convert.bf16x2.to.f8x2"> {
}];
}
+class NVVM_ConvertF8x2ToFP16x2Op_Base <string dstType>
+: NVVM_Op<"convert.f8x2.to." # !tolower(dstType) # "x2"> {
+ let summary = "Convert a pair of f8 inputs to " # !tolower(dstType) # "x2";
+ let description = [{
+ This Op converts the given f8 inputs in a i8x2 vector to }] # !tolower(dstType) # [{.
+
+ The result `dst` is represented as a vector of }] # !tolower(dstType) # [{ elements.
+
+ The `relu` attribute, when set, lowers to the '.relu' variant of
+ the cvt instruction.
+
+ [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 VectorOfLengthAndType<[2], [!cast<Type>(dstType)]>:$dst);
+ let arguments = !if(!eq(dstType, "F16"),
+ (ins VectorOfLengthAndType<[2], [I8]>:$src,
+ DefaultValuedAttr<BoolAttr, "false">:$relu,
+ TypeAttr:$srcType),
+ (ins VectorOfLengthAndType<[2], [I8]>:$src,
+ TypeAttr:$srcType));
+ let assemblyFormat = "$src attr-dict `:` type($src) `(` $srcType `)` `->` type($dst)";
+ let hasVerifier = 1;
+
+ let extraClassDeclaration = [{
+ static IDArgPair
+ getIntrinsicIDAndArgs(Operation &op, LLVM::ModuleTranslation &mt,
+ llvm::IRBuilderBase &builder);
+ }];
+
+ string llvmBuilder = [{
+ auto [intId, args] =
+ NVVM::ConvertF8x2To}] # dstType # [{x2Op::getIntrinsicIDAndArgs(*op, moduleTranslation, builder);
+ $dst = createIntrinsicCall(builder, intId, args);
+ }];
+}
+def NVVM_ConvertF8x2ToF16x2Op : NVVM_ConvertF8x2ToFP16x2Op_Base<"F16">;
+def NVVM_ConvertF8x2ToBF16x2Op : NVVM_ConvertF8x2ToFP16x2Op_Base<"BF16">;
----------------
durga4github wrote:
Now that we use `TypeAttr`, I think you easily extend the same base-class to f6x2 also, by parameterizing the src-type strings. Could you please give it a try?
https://github.com/llvm/llvm-project/pull/162439
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