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50 changes: 49 additions & 1 deletion mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
Original file line number Diff line number Diff line change
Expand Up @@ -112,6 +112,54 @@ def AMDGPU_ExtPackedFp8Op :
}];
}

def IsValidBlockSize: AttrConstraint<
CPred<"::llvm::cast<::mlir::IntegerAttr>($_self).getInt() == 16 || ::llvm::cast<::mlir::IntegerAttr>($_self).getInt() == 32">,
"whose value is 16 or 32">;

def AMDGPU_ScaledExtPacked816Op
: AMDGPU_Op<"scaled_ext_packed816", [Pure]>,
Arguments<(
ins AnyTypeOf<[VectorOfLengthAndType<[8], [F4E2M1FN,F8E4M3FN,F8E5M2]>,
VectorOfLengthAndType<[16], [F6E2M3FN, F6E3M2FN]>]>:$source,
FixedVectorOfLengthAndType<[4], [F8E8M0FNU]>:$scale,
ConfinedAttr<I32Attr, [IsValidBlockSize]>:$blockSize,
ConfinedAttr<I32Attr, [IntMinValue<0>, IntMaxValue<1>]>:$firstScaleLane,
ConfinedAttr<I32Attr, [IntMinValue<0>, IntMaxValue<2>]>:$firstScaleByte)>,
Results<(
outs AnyTypeOf<[FixedVectorOfLengthAndType<[8], [F32]>,
FixedVectorOfLengthAndType<[8], [F16]>,
FixedVectorOfLengthAndType<[8], [BF16]>,
FixedVectorOfLengthAndType<[16], [F32]>,
FixedVectorOfLengthAndType<[16], [F16]>,
FixedVectorOfLengthAndType<[16], [BF16]>]>:$res)> {

let summary = "Extend a vector of packed floating point values";

let description = [{
The scales applied to the input microfloats are stored in two bytes which
come from the `scales` input provided in a *half* of the wave identified
by `firstScaleLane`. The pair of bytes used is selected by
`firstScaleByte`. The 16 vectors in consecutive lanes starting from
`firstScaleLane` (which we'll call the scale vectors) will be used by both
halves of the wave (with lane L reading from L % 16'th scale vector), but
each half will use a different byte.

When the block size is 32, `firstScaleByte` can be either 0 or 2,
selecting halves of the scale vectors. Lanes 0-15 will read from
`firstScaleByte` and lanes 16-31 will read from `firstScaleByte` + 1.

However, when the block size is 16, `firstScaleByte` can be 0 or 1.
Lanes 0-15 read from the `firstScaleByte`th element of the scale vectors,
while lanes 16-31 read from `firstScaleByte` + 2.

Note: the layout for the scales generally mirrors how the WMMA
instructions use for matix scales. These selection operands allows
one to choose portions of the matrix to convert.
}];

let hasCustomAssemblyFormat = 1;
}

def AMDGPU_ScaledExtPackedOp
: AMDGPU_Op<"scaled_ext_packed", [Pure]>,
Arguments<(
Expand Down Expand Up @@ -860,7 +908,7 @@ def AMDGPU_MFMAOp :
based on the provided `m`, `k`, `n`, and `nBlks` attributes, along with the
types of the source and destination arguments.

For information on the layouts of the input and output matrces (which are stored
For information on the layouts of the input and output matrices (which are stored
in `sourceA`, `sourceB`, `destC`, and `destD`), see the CDNA ISA documentation.

The `cbsz`, `abid`, and `blgp` parameters control how the lanes of the wave
Expand Down
70 changes: 70 additions & 0 deletions mlir/lib/Dialect/AMDGPU/IR/AMDGPUDialect.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -338,6 +338,76 @@ void RawBufferAtomicCmpswapOp::getCanonicalizationPatterns(
context);
}

//===----------------------------------------------------------------------===//
// ScaledExtPacked816Op
//===----------------------------------------------------------------------===//
mlir::ParseResult ScaledExtPacked816Op::parse(mlir::OpAsmParser &parser,
mlir::OperationState &result) {
// Parse attributes
if (parser.parseOptionalAttrDict(result.attributes))
return failure();

// Parse source operand
OpAsmParser::UnresolvedOperand source;
if (parser.parseOperand(source))
return failure();

if (parser.parseKeyword("scale") || parser.parseLParen())
return failure();
OpAsmParser::UnresolvedOperand scale;
if (parser.parseOperand(scale) || parser.parseRParen())
return failure();

// Parse attributes
IntegerAttr blockSize, firstScaleLane, firstScaleByte;
if (parser.parseKeyword("blockSize") || parser.parseLParen() ||
parser.parseAttribute(blockSize, parser.getBuilder().getI32Type()) ||
parser.parseRParen())
return failure();

if (parser.parseKeyword("firstScaleLane") || parser.parseLParen() ||
parser.parseAttribute(firstScaleLane, parser.getBuilder().getI32Type()) ||
parser.parseRParen())
return failure();

if (parser.parseKeyword("firstScaleByte") || parser.parseLParen() ||
parser.parseAttribute(firstScaleByte, parser.getBuilder().getI32Type()) ||
parser.parseRParen())
return failure();

Type sourceType, resultType;
if (parser.parseColon() || parser.parseType(sourceType) ||
parser.parseKeyword("to") || parser.parseType(resultType))
return failure();

// Resolve operands with types
Type scaleType =
VectorType::get({4}, Float8E8M0FNUType::get(parser.getContext()));
if (parser.resolveOperand(source, sourceType, result.operands) ||
parser.resolveOperand(scale, scaleType, result.operands))
return failure();

result.addAttribute("blockSize", blockSize);
result.addAttribute("firstScaleLane", firstScaleLane);
result.addAttribute("firstScaleByte", firstScaleByte);

result.addTypes(resultType);
return success();
}

void ScaledExtPacked816Op::print(OpAsmPrinter &p) {
p << " ";
p.printOptionalAttrDict(
(*this)->getAttrs(),
/*elideAttrs=*/{"blockSize", "firstScaleLane", "firstScaleByte"});
p << " " << getSource();
p << " scale(" << getScale() << ")";
p << " blockSize(" << getBlockSize() << ")";
p << " firstScaleLane(" << getFirstScaleLane() << ")";
p << " firstScaleByte(" << getFirstScaleByte() << ")";
p << " : " << getSource().getType() << " to " << getRes().getType();
}

//===----------------------------------------------------------------------===//
// WMMAOp
//===----------------------------------------------------------------------===//
Expand Down
55 changes: 55 additions & 0 deletions mlir/test/Dialect/AMDGPU/ops.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -221,6 +221,61 @@ func.func @scaled_ext_scalar_f4e2m1_bf16(%v: vector<2xf4E2M1FN>, %scale: f32) ->
func.return %ret : vector<2xbf16>
}

// CHECK-LABEL: func.func @scaled_ext_packed816_fp4
func.func @scaled_ext_packed816_fp4(%v: vector<8xf4E2M1FN>, %scale: vector<4xf8E8M0FNU>) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
// CHECK: amdgpu.scaled_ext_packed816
%ret0 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf4E2M1FN> to vector<8xf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret1 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf4E2M1FN> to vector<8xbf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret2 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf4E2M1FN> to vector<8xf32>
func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
}

// CHECK-LABEL: func.func @scaled_ext_packed816_fp8
func.func @scaled_ext_packed816_fp8(%v: vector<8xf8E4M3FN>, %scale: vector<4xf8E8M0FNU>) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
// CHECK: amdgpu.scaled_ext_packed816
%ret0 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E4M3FN> to vector<8xf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret1 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E4M3FN> to vector<8xbf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret2 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E4M3FN> to vector<8xf32>
func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
}

// CHECK-LABEL: func.func @scaled_ext_packed816_bf8
func.func @scaled_ext_packed816_bf8(%v: vector<8xf8E5M2>, %scale: vector<4xf8E8M0FNU>) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
// CHECK: amdgpu.scaled_ext_packed816
%ret0 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E5M2> to vector<8xf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret1 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E5M2> to vector<8xbf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret2 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<8xf8E5M2> to vector<8xf32>
func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
}

// CHECK-LABEL: func.func @scaled_ext_packed816_fp6
func.func @scaled_ext_packed816_fp6(%v: vector<16xf6E2M3FN>, %scale: vector<4xf8E8M0FNU>) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
// CHECK: amdgpu.scaled_ext_packed816
%ret0 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E2M3FN> to vector<16xf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret1 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E2M3FN> to vector<16xbf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret2 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E2M3FN> to vector<16xf32>
func.return %ret0, %ret1, %ret2 : vector<16xf16>, vector<16xbf16>, vector<16xf32>
}

// CHECK-LABEL: func.func @scaled_ext_packed816_bf16
func.func @scaled_ext_packed816_bf16(%v: vector<16xf6E3M2FN>, %scale: vector<4xf8E8M0FNU>) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
// CHECK: amdgpu.scaled_ext_packed816
%ret0 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E3M2FN> to vector<16xf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret1 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E3M2FN> to vector<16xbf16>
// CHECK: amdgpu.scaled_ext_packed816
%ret2 = amdgpu.scaled_ext_packed816 %v scale(%scale) blockSize(32) firstScaleLane(0) firstScaleByte(0) : vector<16xf6E3M2FN> to vector<16xf32>
func.return %ret0, %ret1, %ret2 : vector<16xf16>, vector<16xbf16>, vector<16xf32>
}

// CHECK-LABEL: func.func @packed_scaled_trunc_f8e4m3_f32
// CHECK: amdgpu.packed_scaled_trunc
func.func @packed_scaled_trunc_f8e4m3_f32(%v: vector<2xf32>, %scale: f32) -> vector<4xf8E4M3FN> {
Expand Down