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llvmbot commented Sep 19, 2025

@llvm/pr-subscribers-mlir-core
@llvm/pr-subscribers-mlir-amdgpu
@llvm/pr-subscribers-mlir-gpu

@llvm/pr-subscribers-backend-amdgpu

Author: Erick Ochoa Lopez (amd-eochoalo)

Changes

Full diff: https://github.com/llvm/llvm-project/pull/159830.diff

2 Files Affected:

  • (modified) mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td (+42)
  • (modified) mlir/test/Dialect/AMDGPU/ops.mlir (+55)
diff --git a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
index a24a918357f2d..d5ea737e229ff 100644
--- a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
+++ b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
@@ -112,6 +112,48 @@ def AMDGPU_ExtPackedFp8Op :
   }];
 }
 
+def AMDGPU_ScaledExtPacked8Op
+    : AMDGPU_Op<"scaled_ext_packed8", [Pure]>,
+      Arguments<(
+          ins VectorOfLengthAndType<[8], [F4E2M1FN,F8E4M3FN,F8E5M2]>:$source,
+          F32:$scale,
+          ConfinedAttr<I32Attr, [IntNonNegative, IntMaxValue<7>]>:$index)>,
+      Results<(
+          outs AnyTypeOf<[FixedVectorOfLengthAndType<[8], [F32]>,
+                          FixedVectorOfLengthAndType<[8], [F16]>,
+                          FixedVectorOfLengthAndType<[8], [BF16]>]>:$res)> {
+  let summary = "Extend a vector of packed floating point values";
+
+  let description = [{
+    Extend and scale eight packed floats in to eight floats and return them.
+  }];
+
+  let assemblyFormat = [{
+    attr-dict $source `,` $scale `[` $index `]` `:` type($source) `to` type($res)
+  }];
+}
+
+def AMDGPU_ScaledExtPacked16Op
+    : AMDGPU_Op<"scaled_ext_packed16", [Pure]>,
+      Arguments<(
+          ins VectorOfLengthAndType<[16], [F6E2M3FN, F6E3M2FN]>:$source,
+          F32:$scale,
+          ConfinedAttr<I32Attr, [IntNonNegative, IntMaxValue<7>]>:$index)>,
+      Results<(
+          outs AnyTypeOf<[FixedVectorOfLengthAndType<[16], [F32]>,
+                          FixedVectorOfLengthAndType<[16], [F16]>,
+                          FixedVectorOfLengthAndType<[16], [BF16]>]>:$res)> {
+  let summary = "Extend a vector of packed floating point values";
+
+  let description = [{
+    Extend and scale 16 packed floats to 16 floats and return them.
+  }];
+
+  let assemblyFormat = [{
+    attr-dict $source `,` $scale `[` $index `]` `:` type($source) `to` type($res)
+  }];
+}
+
 def AMDGPU_ScaledExtPackedOp
     : AMDGPU_Op<"scaled_ext_packed", [Pure]>,
       Arguments<(
diff --git a/mlir/test/Dialect/AMDGPU/ops.mlir b/mlir/test/Dialect/AMDGPU/ops.mlir
index 369e0fff538e1..1841c0815b435 100644
--- a/mlir/test/Dialect/AMDGPU/ops.mlir
+++ b/mlir/test/Dialect/AMDGPU/ops.mlir
@@ -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_packed8_fp4
+func.func @scaled_ext_packed8_fp4(%v: vector<8xf4E2M1FN>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed8_fp8
+func.func @scaled_ext_packed8_fp8(%v: vector<8xf8E4M3FN>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed8_bf8
+func.func @scaled_ext_packed8_bf8(%v: vector<8xf8E5M2>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed16_fp6
+func.func @scaled_ext_packed16_fp6(%v: vector<16xf6E2M3FN>, %scale: f32) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret0 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret1 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xbf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret2 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xf32>
+  func.return %ret0, %ret1, %ret2 : vector<16xf16>, vector<16xbf16>, vector<16xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed16_bf16
+func.func @scaled_ext_packed16_bf16(%v: vector<16xf6E3M2FN>, %scale: f32) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret0 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E3M2FN> to vector<16xf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret1 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E3M2FN> to vector<16xbf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret2 = amdgpu.scaled_ext_packed16 %v, %scale[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> {

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llvmbot commented Sep 19, 2025

@llvm/pr-subscribers-mlir

Author: Erick Ochoa Lopez (amd-eochoalo)

Changes

Full diff: https://github.com/llvm/llvm-project/pull/159830.diff

2 Files Affected:

  • (modified) mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td (+42)
  • (modified) mlir/test/Dialect/AMDGPU/ops.mlir (+55)
diff --git a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
index a24a918357f2d..d5ea737e229ff 100644
--- a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
+++ b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
@@ -112,6 +112,48 @@ def AMDGPU_ExtPackedFp8Op :
   }];
 }
 
+def AMDGPU_ScaledExtPacked8Op
+    : AMDGPU_Op<"scaled_ext_packed8", [Pure]>,
+      Arguments<(
+          ins VectorOfLengthAndType<[8], [F4E2M1FN,F8E4M3FN,F8E5M2]>:$source,
+          F32:$scale,
+          ConfinedAttr<I32Attr, [IntNonNegative, IntMaxValue<7>]>:$index)>,
+      Results<(
+          outs AnyTypeOf<[FixedVectorOfLengthAndType<[8], [F32]>,
+                          FixedVectorOfLengthAndType<[8], [F16]>,
+                          FixedVectorOfLengthAndType<[8], [BF16]>]>:$res)> {
+  let summary = "Extend a vector of packed floating point values";
+
+  let description = [{
+    Extend and scale eight packed floats in to eight floats and return them.
+  }];
+
+  let assemblyFormat = [{
+    attr-dict $source `,` $scale `[` $index `]` `:` type($source) `to` type($res)
+  }];
+}
+
+def AMDGPU_ScaledExtPacked16Op
+    : AMDGPU_Op<"scaled_ext_packed16", [Pure]>,
+      Arguments<(
+          ins VectorOfLengthAndType<[16], [F6E2M3FN, F6E3M2FN]>:$source,
+          F32:$scale,
+          ConfinedAttr<I32Attr, [IntNonNegative, IntMaxValue<7>]>:$index)>,
+      Results<(
+          outs AnyTypeOf<[FixedVectorOfLengthAndType<[16], [F32]>,
+                          FixedVectorOfLengthAndType<[16], [F16]>,
+                          FixedVectorOfLengthAndType<[16], [BF16]>]>:$res)> {
+  let summary = "Extend a vector of packed floating point values";
+
+  let description = [{
+    Extend and scale 16 packed floats to 16 floats and return them.
+  }];
+
+  let assemblyFormat = [{
+    attr-dict $source `,` $scale `[` $index `]` `:` type($source) `to` type($res)
+  }];
+}
+
 def AMDGPU_ScaledExtPackedOp
     : AMDGPU_Op<"scaled_ext_packed", [Pure]>,
       Arguments<(
diff --git a/mlir/test/Dialect/AMDGPU/ops.mlir b/mlir/test/Dialect/AMDGPU/ops.mlir
index 369e0fff538e1..1841c0815b435 100644
--- a/mlir/test/Dialect/AMDGPU/ops.mlir
+++ b/mlir/test/Dialect/AMDGPU/ops.mlir
@@ -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_packed8_fp4
+func.func @scaled_ext_packed8_fp4(%v: vector<8xf4E2M1FN>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf4E2M1FN> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed8_fp8
+func.func @scaled_ext_packed8_fp8(%v: vector<8xf8E4M3FN>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E4M3FN> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed8_bf8
+func.func @scaled_ext_packed8_bf8(%v: vector<8xf8E5M2>, %scale: f32) -> (vector<8xf16>, vector<8xbf16>, vector<8xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret0 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret1 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xbf16>
+  // CHECK: amdgpu.scaled_ext_packed8
+  %ret2 = amdgpu.scaled_ext_packed8 %v, %scale[0] : vector<8xf8E5M2> to vector<8xf32>
+  func.return %ret0, %ret1, %ret2 : vector<8xf16>, vector<8xbf16>, vector<8xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed16_fp6
+func.func @scaled_ext_packed16_fp6(%v: vector<16xf6E2M3FN>, %scale: f32) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret0 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret1 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xbf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret2 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E2M3FN> to vector<16xf32>
+  func.return %ret0, %ret1, %ret2 : vector<16xf16>, vector<16xbf16>, vector<16xf32>
+}
+
+// CHECK-LABEL: func.func @scaled_ext_packed16_bf16
+func.func @scaled_ext_packed16_bf16(%v: vector<16xf6E3M2FN>, %scale: f32) -> (vector<16xf16>, vector<16xbf16>, vector<16xf32>) {
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret0 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E3M2FN> to vector<16xf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret1 = amdgpu.scaled_ext_packed16 %v, %scale[0] : vector<16xf6E3M2FN> to vector<16xbf16>
+  // CHECK: amdgpu.scaled_ext_packed16
+  %ret2 = amdgpu.scaled_ext_packed16 %v, %scale[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> {

}];
}

def AMDGPU_ScaledExtPacked16Op
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Don't make distinct operations here. Instead, loosen the definition of scaled_ext_packed and add checks for chip compatibility to the lowering.

If that's not feasible, get back to me.

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I did it here c3832b0 . Is the assembly format acceptable for you?

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On further offline discussion, I'll need more context / we'll want to see if two separate ops are actually the better design here.

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between f92db34 and c3832b0 I prefer f92db34. By having two optional attributes which are in an XOR-relationship the constructors for this operation will always require a nullptr and getting the attributes will always get a std::optional<int32_t>.

Between f92db34 and merging these two operations into their distinct operation, one thing to notice is that we will need a verifier to make sure the types are correctly matched. (Not a big deal). We also need to choose a name for this operation since scaled_ext_packed is already taken. Maybe scaled_ext_packed_8_or_16?

@amd-eochoalo amd-eochoalo force-pushed the eochoa/2025-09-19/cvt-amd-gpu branch from 0d09fc6 to 9c09c35 Compare October 16, 2025 13:03
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LGTM but wait for @krzysz00 before merging

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LGTM after one comment

}];

let extraClassDeclaration = [{
static Type getScaleType(MLIRContext *ctx) {
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What's this for?

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I would like the assembly format to only have type($source) to type($res).

Without using

TypesMatchWith<"scale type is fixed",
                       "source", "scale",
                       "ScaledExtPacked816Op::getScaleType($_self.getContext())">]
// (which requires the definition of this extra class declaration)

The assembly format parser generator gives an error stating

error: type of operand #1, named 'scale', is not buildable and a buildable type cannot be inferred
    attr-dict $source

I can inline this function like this:

diff --git a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
index 05525d3a061d..210097138807 100644
--- a/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
+++ b/mlir/include/mlir/Dialect/AMDGPU/IR/AMDGPU.td
@@ -119,7 +119,7 @@ def IsValidBlockSize: AttrConstraint<
 def AMDGPU_ScaledExtPacked816Op
     : AMDGPU_Op<"scaled_ext_packed816", [Pure, TypesMatchWith<"scale type is fixed",
                        "source", "scale",
-                       "ScaledExtPacked816Op::getScaleType($_self.getContext())">]>,
+                       "VectorType::get(4, Float8E8M0FNUType::get($_self.getContext()))">]>,
       Arguments<(
           ins AnyTypeOf<[VectorOfLengthAndType<[8], [F4E2M1FN,F8E4M3FN,F8E5M2]>,
                          VectorOfLengthAndType<[16], [F6E2M3FN, F6E3M2FN]>]>:$source,
@@ -170,12 +170,6 @@ def AMDGPU_ScaledExtPacked816Op
     `:` type($source) `to` type($res)
   }];

-  let extraClassDeclaration = [{
-    static Type getScaleType(MLIRContext *ctx) {
-      return VectorType::get(4, Float8E8M0FNUType::get(ctx));
-    }
-  }];
-
 }

 def AMDGPU_ScaledExtPackedOp

or if you prefer add the type declaration, or maybe another solution?

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  1. I don't think you want TypesMatchWith here - that implies a relationship between two types.
  2. What you're looking for goes something like this
def Vector4Scales : 
  AllOfType<[IsVectorOfShape<[4]>, IsVectorOfType<[F8E8M0FNU]>,
    "vector of 4 F8E8M0FNU scales",
    "::mlir::VectorType">,
  BuildableType<"::mlir::VectorType::get($_builder.getType<::mlir::Float8E8M0FNUType>, {4});">;

and then use that in the op definition

(See mlir/include/mlir/IR/CommonTypeConstraints.td for where all those tablegen bits came from.

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(The top half of that is defining the constraint the type has to obay. The BuildableType bit is a tag that tells the tablegen bits "Hey, this is one very specific type, you can just ... create it yourself and don't have to parse it".

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Thank you! I was looking for exactly this!

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Thanks for pointing into BuildableType. I had some issues using it exactly as you described above, but in the end I learned a little bit more about Predicates and Types. I ended up using the following:

def Vector4Scales :
  AllOfType<[FixedVectorOfLengthAndType<[4], [F8E8M0FNU]>],
    "vector of 4 F8E8M0FNU scales",
    "::mlir::VectorType">,
  BuildableType<"::mlir::VectorType::get({4}, $_builder.getType<::mlir::Float8E8M0FNUType>());">;

Which if I understand correctly the FixedVectorOfLEngthAndType should already take care of the constraints we need. (Instead of using/defining these constraints [IsVectorOfShape<[4]>, IsVectorOfType<[F8E8M0FNU]>) and adds the necessary BuildableType which I was missing.

`firstScaleByte` `(` $firstScaleByte `)`
`:` type($source) `to` type($res)
}];

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Can you add a verifier that errors out on invalid block size / firstScaleByte combinations?

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Thanks for the review! 4f83cd9



def Vector4Scales :
AllOfType<[FixedVectorOfLengthAndType<[4], [F8E8M0FNU]>],
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This technically allows vector<2x2xf8E8M0FNU>

@llvmbot llvmbot added mlir:core MLIR Core Infrastructure mlir:ods labels Oct 17, 2025
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LGTM % IR example in the description

@amd-eochoalo amd-eochoalo merged commit a76c71b into llvm:main Oct 17, 2025
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4 participants