[GPU][NFC] Follow the official convention to define mfma/wmma attribu…

…tes (#18127)

The LLVM intrinsics and official docs are all using
`[output_type]_MxNxK_[input_type]` format. The revision updates IREE's
definitions to follow the convention.

Some examples from official docs:

- https://gpuopen.com/learn/wmma_on_rdna3/
-
https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-matrix-cores-readme/
- https://github.com/ROCm/amd_matrix_instruction_calculator

This patch is generated by the below commands:

```bash
cd compiler
sed -i "s/MFMA_F16_16x16x16_F32/MFMA_F32_16x16x16_F16/g" **/*.mlir
sed -i "s/MFMA_F16_16x16x16_F32/MFMA_F32_16x16x16_F16/g" **/*.td
sed -i "s/MFMA_F16_16x16x16_F32/MFMA_F32_16x16x16_F16/g" **/*.cpp
sed -i "s/MFMA_F16_16x16x16_F32/MFMA_F32_16x16x16_F16/g" **/*.h
sed -i "s/MFMA_F16_32x32x8_F32/MFMA_F32_32x32x8_F16/g" **/*.mlir
sed -i "s/MFMA_F16_32x32x8_F32/MFMA_F32_32x32x8_F16/g" **/*.td
sed -i "s/MFMA_F16_32x32x8_F32/MFMA_F32_32x32x8_F16/g" **/*.h
sed -i "s/MFMA_F16_32x32x8_F32/MFMA_F32_32x32x8_F16/g" **/*.cpp
sed -i "s/MFMA_F8E4M3FNUZ_16x16x32_F32/MFMA_F32_16x16x32_F8E4M3FNUZ/g" **/*.mlir
sed -i "s/MFMA_F8E4M3FNUZ_16x16x32_F32/MFMA_F32_16x16x32_F8E4M3FNUZ/g" **/*.td
sed -i "s/MFMA_F8E4M3FNUZ_16x16x32_F32/MFMA_F32_16x16x32_F8E4M3FNUZ/g" **/*.h
sed -i "s/MFMA_F8E4M3FNUZ_16x16x32_F32/MFMA_F32_16x16x32_F8E4M3FNUZ/g" **/*.cpp
sed -i "s/MFMA_I8_16x16x32_I32/MFMA_I32_16x16x32_I8/g" **/*.mlir
sed -i "s/MFMA_I8_16x16x32_I32/MFMA_I32_16x16x32_I8/g" **/*.td
sed -i "s/MFMA_I8_16x16x32_I32/MFMA_I32_16x16x32_I8/g" **/*.h
sed -i "s/MFMA_I8_16x16x32_I32/MFMA_I32_16x16x32_I8/g" **/*.cpp
sed -i "s/MFMA_I8_32x32x16_I32/MFMA_I32_32x32x16_I8/g" **/*.mlir
sed -i "s/MFMA_I8_32x32x16_I32/MFMA_I32_32x32x16_I8/g" **/*.td
sed -i "s/MFMA_I8_32x32x16_I32/MFMA_I32_32x32x16_I8/g" **/*.h
sed -i "s/MFMA_I8_32x32x16_I32/MFMA_I32_32x32x16_I8/g" **/*.cpp
```

---------

Signed-off-by: hanhanW <hanhan0912@gmail.com>

compiler/plugins/target/ROCM/test/target_device_features.mlir

@@ -6,13 +6,13 @@
 // GFX942: target = #iree_gpu.target<arch = "gfx942",
 // GFX942-SAME: wgp = <compute =  fp64|fp32|fp16|int64|int32|int16|int8, storage =  b64|b32|b16|b8,
 // GFX942-SAME:         subgroup =  shuffle|arithmetic, dot =  dp4xi8toi32,
-// GFX942-SAME:         mma = [<MFMA_F32_16x16x4_F32>, <MFMA_F16_16x16x16_F32>, <MFMA_F16_32x32x8_F32>, <MFMA_F8E4M3FNUZ_16x16x32_F32>, <MFMA_I8_16x16x32_I32>, <MFMA_I8_32x32x16_I32>],
+// GFX942-SAME:         mma = [<MFMA_F32_16x16x4_F32>, <MFMA_F32_16x16x16_F16>, <MFMA_F32_32x32x8_F16>, <MFMA_F32_16x16x32_F8E4M3FNUZ>, <MFMA_I32_16x16x32_I8>, <MFMA_I32_32x32x16_I8>],
 // GFX942-SAME:         subgroup_size_choices = [64], max_workgroup_sizes = [1024, 1024, 1024],
 // GFX942-SAME:         max_thread_count_per_workgroup = 1024, max_workgroup_memory_bytes = 65536>,
 // GFX942-SAME: chip = <wgp_count = 304>>
 
 // GFX940: target = #iree_gpu.target<arch = "gfx940",
-// GFX940-SAME:         mma = [<MFMA_F32_16x16x4_F32>, <MFMA_F16_16x16x16_F32>, <MFMA_F16_32x32x8_F32>, <MFMA_F8E4M3FNUZ_16x16x32_F32>, <MFMA_I8_16x16x32_I32>, <MFMA_I8_32x32x16_I32>],
+// GFX940-SAME:         mma = [<MFMA_F32_16x16x4_F32>, <MFMA_F32_16x16x16_F16>, <MFMA_F32_32x32x8_F16>, <MFMA_F32_16x16x32_F8E4M3FNUZ>, <MFMA_I32_16x16x32_I8>, <MFMA_I32_32x32x16_I8>],
 
 // GFX1100: target = #iree_gpu.target<arch = "gfx1100",
 // GFX1100-SAME:        mma = [<WMMA_F16_16x16x16_F32>, <WMMA_F16_16x16x16_F16>]

compiler/src/iree/compiler/Codegen/Common/GPU/test/gpu_nested_layout_contract_amdgpu.mlir

@@ -51,7 +51,7 @@ func.func @contract_to_mfma_32x32x8_mm(%a : vector<32x8xf16>, %b : vector<8x32xf
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
   } %A, %B, %C : vector<32x8xf16>, vector<8x32xf16> into vector<32x32xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_c : vector<32x32xf32>
@@ -128,7 +128,7 @@ func.func @contract_to_mfma_16x16x16_mm(%a : vector<16x16xf16>, %b : vector<16x1
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>
   } %A, %B, %C : vector<16x16xf16>, vector<16x16xf16> into vector<16x16xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_b : vector<16x16xf32>
@@ -216,7 +216,7 @@ func.func @contract_to_mfma_32x32x8_mm_mnbatch(%a : vector<64x8xf16>, %b : vecto
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
   } %A, %B, %C : vector<64x8xf16>, vector<8x32xf16> into vector<64x32xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_c : vector<64x32xf32>
@@ -305,7 +305,7 @@ func.func @contract_to_mfma_32x32x8_mm_kbatch(%a : vector<32x16xf16>, %b : vecto
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
   } %A, %B, %C : vector<32x16xf16>, vector<16x32xf16> into vector<32x32xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_c : vector<32x32xf32>
@@ -388,7 +388,7 @@ func.func @contract_to_mfma_32x32x8_mm_mnbatch_order(%a : vector<64x8xf16>, %b :
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
   } %A, %B, %C : vector<64x8xf16>, vector<8x96xf16> into vector<64x96xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_c : vector<64x96xf32>
@@ -479,7 +479,7 @@ func.func @contract_to_mfma_32x32x8_mmt(%a : vector<32x8xf16>, %b : vector<64x8x
     indexing_maps = [#map1, #map2, #map3],
     iterator_types = ["parallel", "parallel", "reduction"],
     kind = #vector.kind<add>,
-    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+    iree.amdgpu.mma = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
   } %A, %B, %C : vector<32x8xf16>, vector<64x8xf16> into vector<32x64xf32>
 
   %O = iree_vector_ext.to_layout %output to #layout_c : vector<32x64xf32>

compiler/src/iree/compiler/Codegen/Common/GPU/test/gpu_tensor_alloc.mlir

@@ -242,7 +242,7 @@ func.func @weight_dequant_matmul() {
     #hal.descriptor_set.binding<2, storage_buffer>
   ]>
 ]>
-func.func @conv() attributes {translation_info = #iree_codegen.translation_info<LLVMGPUVectorDistribute workgroup_size = [256, 1, 1] subgroup_size = 64, {mma_schedule = #iree_gpu.mma_schedule<intrinsic = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>, subgroup_m_count = 1, subgroup_n_count = 4>}>} {
+func.func @conv() attributes {translation_info = #iree_codegen.translation_info<LLVMGPUVectorDistribute workgroup_size = [256, 1, 1] subgroup_size = 64, {mma_schedule = #iree_gpu.mma_schedule<intrinsic = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>, subgroup_m_count = 1, subgroup_n_count = 4>}>} {
   %cst = arith.constant 0.000000e+00 : f32
   %c0 = arith.constant 0 : index
   %0 = hal.interface.binding.subspan layout(#pipeline_layout) set(0) binding(0) alignment(64) offset(%c0) flags(ReadOnly) : !flow.dispatch.tensor<readonly:tensor<2x34x34x1280xf16>>

compiler/src/iree/compiler/Codegen/Dialect/GPU/IR/IREEGPUAttrs.cpp

@@ -215,19 +215,19 @@ static OpaqueMmaLayout getOpaqueMFMALayout(MLIRContext *context,
   case MMAIntrinsic::MFMA_F32_16x16x4_F32: {
     return OpaqueMmaLayout{16, 16, 4, f32, f32, f32};
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16: {
     return OpaqueMmaLayout{16, 16, 16, f16, f16, f32};
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16: {
     return OpaqueMmaLayout{32, 32, 8, f16, f16, f32};
   }
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ: {
     return OpaqueMmaLayout{16, 16, 32, f8E4M3FNUZ, f8E4M3FNUZ, f32};
   }
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     return OpaqueMmaLayout{16, 16, 32, i8, i8, i32};
   }
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     return OpaqueMmaLayout{32, 32, 16, i8, i8, i32};
   }
   case MMAIntrinsic::WMMA_F16_16x16x16_F32: {
@@ -277,7 +277,7 @@ static ConcreteMmaLayout getConcreteMFMALayout(MLIRContext *context,
     return ConcreteMmaLayout{opaqueLayout, aMLayout, aKLayout, bKLayout,
                              bNLayout,     cMLayout, cNLayout};
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16: {
     // #outer = #iree_vector_ext.per_dim_layout<[LANEX], [16]>
     // #inner = #iree_vector_ext.per_dim_layout<[LANEY, VECTORX], [4, 4]>
     // #layout_a = #iree_vector_ext.layout<#outer, #inner>
@@ -295,7 +295,7 @@ static ConcreteMmaLayout getConcreteMFMALayout(MLIRContext *context,
     return ConcreteMmaLayout{opaqueLayout, aMLayout, aKLayout, bKLayout,
                              bNLayout,     cMLayout, cNLayout};
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16: {
     // #outer = #iree_vector_ext.per_dim_layout<[LANEX], [32]>
     // #inner1 = #iree_vector_ext.per_dim_layout<[LANEY, VECTORX], [2, 4]>
     // #inner2 = #iree_vector_ext.per_dim_layout<[VECTORY, LANEY, VECTORX],
@@ -316,8 +316,8 @@ static ConcreteMmaLayout getConcreteMFMALayout(MLIRContext *context,
     return ConcreteMmaLayout{opaqueLayout, aMLayout, aKLayout, bKLayout,
                              bNLayout,     cMLayout, cNLayout};
   }
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     // #outer = #iree_vector_ext.per_dim_layout<[LANEX], [16]>
     // #inner = #iree_vector_ext.per_dim_layout<[LANEY, VECTORX], [4, 8]>
     // #layout_a = #iree_vector_ext.layout<#outer, #inner>
@@ -334,7 +334,7 @@ static ConcreteMmaLayout getConcreteMFMALayout(MLIRContext *context,
     return ConcreteMmaLayout{opaqueLayout, aMLayout, aKLayout, bKLayout,
                              bNLayout,     cMLayout, cNLayout};
   }
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     // #outer = #iree_vector_ext.per_dim_layout<[LANEX], [16]>
     // #inner = #iree_vector_ext.per_dim_layout<[LANEY, VECTORX], [2, 8]>
     // #layout_a = #iree_vector_ext.layout<#outer, #inner>
@@ -437,26 +437,26 @@ MMAAttr::getABCVectorTypes() const {
     auto cType = VectorType::get({4}, getCType());
     return std::make_tuple(aType, bType, cType);
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16: {
     auto aType = VectorType::get({4}, getAType());
     auto bType = VectorType::get({4}, getBType());
     auto cType = VectorType::get({4}, getCType());
     return std::make_tuple(aType, bType, cType);
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16: {
     auto aType = VectorType::get({4}, getAType());
     auto bType = VectorType::get({4}, getBType());
     auto cType = VectorType::get({16}, getCType());
     return std::make_tuple(aType, bType, cType);
   }
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     auto aType = VectorType::get({8}, getAType());
     auto bType = VectorType::get({8}, getBType());
     auto cType = VectorType::get({4}, getCType());
     return std::make_tuple(aType, bType, cType);
   }
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     auto aType = VectorType::get({8}, getAType());
     auto bType = VectorType::get({8}, getBType());
     auto cType = VectorType::get({16}, getCType());
@@ -485,11 +485,11 @@ MMAAttr::getContractionLayout(vector::ContractionOp contract) const {
 int64_t MMAAttr::getBlockSize() const {
   switch (getIntrinsic().getValue()) {
   case MMAIntrinsic::MFMA_F32_16x16x4_F32:
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32:
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32:
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32:
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32:
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16:
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16:
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8:
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8:
   case MMAIntrinsic::WMMA_F16_16x16x16_F16:
   case MMAIntrinsic::WMMA_F16_16x16x16_F32: {
     return 1;
@@ -502,11 +502,11 @@ int64_t MMAAttr::getBlockSize() const {
 int64_t MMAAttr::getSubgroupSize() const {
   switch (getIntrinsic().getValue()) {
   case MMAIntrinsic::MFMA_F32_16x16x4_F32:
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32:
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32:
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32:
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16:
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16:
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8:
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     return 64;
   }
   case MMAIntrinsic::WMMA_F16_16x16x16_F32:
@@ -524,20 +524,20 @@ MMAAttr::SingleSubgroupLayout MMAAttr::getASingleSubgroupLayout() const {
     return {/*outer=*/{1, 1}, /*thread=*/{16, 4}, /*strides=*/{1, 16},
             /*element=*/{1, 1}};
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16: {
     return {/*outer=*/{1, 1}, /*thread=*/{16, 4}, /*strides=*/{1, 16},
             /*element=*/{1, 4}};
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16: {
     return {/*outer=*/{1, 1}, /*thread=*/{32, 2}, /*strides=*/{1, 32},
             /*element=*/{1, 4}};
   }
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     return {/*outer=*/{1, 1}, /*thread=*/{16, 4}, /*strides=*/{1, 16},
             /*element=*/{1, 8}};
   }
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     return {/*outer=*/{1, 1}, /*thread=*/{32, 2}, /*strides=*/{1, 32},
             /*element=*/{1, 8}};
   }
@@ -556,20 +556,20 @@ MMAAttr::SingleSubgroupLayout MMAAttr::getBSingleSubgroupLayout() const {
     return {/*outer=*/{1, 1}, /*thread=*/{4, 16}, /*strides=*/{16, 1},
             /*element=*/{1, 1}};
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16: {
     return {/*outer=*/{1, 1}, /*thread=*/{4, 16}, /*strides=*/{16, 1},
             /*element=*/{4, 1}};
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16: {
     return {/*outer=*/{1, 1}, /*thread=*/{2, 32}, /*strides=*/{32, 1},
             /*element=*/{4, 1}};
   }
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     return {/*outer=*/{1, 1}, /*thread=*/{4, 16}, /*strides=*/{16, 1},
             /*element=*/{8, 1}};
   }
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     return {/*outer=*/{1, 1}, /*thread=*/{2, 32}, /*strides=*/{32, 1},
             /*element=*/{8, 1}};
   }
@@ -585,14 +585,14 @@ MMAAttr::SingleSubgroupLayout MMAAttr::getBSingleSubgroupLayout() const {
 MMAAttr::SingleSubgroupLayout MMAAttr::getCSingleSubgroupLayout() const {
   switch (getIntrinsic().getValue()) {
   case MMAIntrinsic::MFMA_F32_16x16x4_F32:
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32:
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16:
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8: {
     return {/*outer=*/{1, 1}, /*thread=*/{4, 16}, /*strides=*/{16, 1},
             /*element=*/{4, 1}};
   }
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32:
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16:
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     return {/*outer=*/{4, 1}, /*thread=*/{2, 32}, /*strides=*/{32, 1},
             /*element=*/{4, 1}};
   }
@@ -632,11 +632,11 @@ FailureOr<Value> MMAAttr::buildMmaOperation(OpBuilder &builder, Location loc,
                                 rhs, acc)
         .getResult();
   }
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32:
-  case MMAIntrinsic::MFMA_F16_32x32x8_F32:
-  case MMAIntrinsic::MFMA_F8E4M3FNUZ_16x16x32_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32:
-  case MMAIntrinsic::MFMA_I8_32x32x16_I32: {
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16:
+  case MMAIntrinsic::MFMA_F32_32x32x8_F16:
+  case MMAIntrinsic::MFMA_F32_16x16x32_F8E4M3FNUZ:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8:
+  case MMAIntrinsic::MFMA_I32_32x32x16_I8: {
     auto [m, n, k] = getMNKShape();
     return builder
         .create<amdgpu::MFMAOp>(loc, resultType, m, n, k, getBlockSize(), lhs,
@@ -716,8 +716,8 @@ LogicalResult MMAAttr::populateOperandOffsetsSizesStrides(
     SmallVector<OpFoldResult> &offsets, SmallVector<OpFoldResult> &sizes,
     SmallVector<OpFoldResult> &strides) const {
   switch (getIntrinsic().getValue()) {
-  case MMAIntrinsic::MFMA_F16_16x16x16_F32:
-  case MMAIntrinsic::MFMA_I8_16x16x32_I32:
+  case MMAIntrinsic::MFMA_F32_16x16x16_F16:
+  case MMAIntrinsic::MFMA_I32_16x16x32_I8:
     break;
   default:
     return failure();

compiler/src/iree/compiler/Codegen/Dialect/GPU/IR/IREEGPUEnums.td

@@ -100,23 +100,23 @@ class IREEGPU_I32MmaEnumAttr<string name, string summary, list<I32EnumAttrCase>
 
 // Format: <kind>_<input-type>_<M>x<N>x<K>_<output-type>
 def MFMA_F32_16x16x4_F32 : I32EnumAttrCase<"MFMA_F32_16x16x4_F32", 0>;
-def MFMA_F16_16x16x16_F32 : I32EnumAttrCase<"MFMA_F16_16x16x16_F32", 1>;
-def MFMA_F16_32x32x8_F32  : I32EnumAttrCase<"MFMA_F16_32x32x8_F32", 2>;
-def MFMA_F8E4M3FNUZ_16x16x32_F32  : I32EnumAttrCase<"MFMA_F8E4M3FNUZ_16x16x32_F32", 3>;
-def MFMA_I8_16x16x32_I32  : I32EnumAttrCase<"MFMA_I8_16x16x32_I32", 4>;
-def MFMA_I8_32x32x16_I32  : I32EnumAttrCase<"MFMA_I8_32x32x16_I32", 5>;
+def MFMA_F32_16x16x16_F16 : I32EnumAttrCase<"MFMA_F32_16x16x16_F16", 1>;
+def MFMA_F32_32x32x8_F16  : I32EnumAttrCase<"MFMA_F32_32x32x8_F16", 2>;
+def MFMA_F32_16x16x32_F8E4M3FNUZ  : I32EnumAttrCase<"MFMA_F32_16x16x32_F8E4M3FNUZ", 3>;
+def MFMA_I32_16x16x32_I8  : I32EnumAttrCase<"MFMA_I32_16x16x32_I8", 4>;
+def MFMA_I32_32x32x16_I8  : I32EnumAttrCase<"MFMA_I32_32x32x16_I8", 5>;
 // TODO: Create separate WMMA ops for AMD and NVIDIA GPUs
 def WMMA_F16_16x16x16_F32 : I32EnumAttrCase<"WMMA_F16_16x16x16_F32", 6>;
 def WMMA_F16_16x16x16_F16 : I32EnumAttrCase<"WMMA_F16_16x16x16_F16", 7>;
 
 def IREEGPU_MMAIntrinsic : IREEGPU_I32MmaEnumAttr<"MMAIntrinsic",
     "Descriptor for different MMA intrinsics", [
       MFMA_F32_16x16x4_F32,
-      MFMA_F16_16x16x16_F32,
-      MFMA_F16_32x32x8_F32,
-      MFMA_F8E4M3FNUZ_16x16x32_F32,
-      MFMA_I8_16x16x32_I32,
-      MFMA_I8_32x32x16_I32,
+      MFMA_F32_16x16x16_F16,
+      MFMA_F32_32x32x8_F16,
+      MFMA_F32_16x16x32_F8E4M3FNUZ,
+      MFMA_I32_16x16x32_I8,
+      MFMA_I32_32x32x16_I8,
       WMMA_F16_16x16x16_F32,
       WMMA_F16_16x16x16_F16
     ]>;

compiler/src/iree/compiler/Codegen/Dialect/GPU/IR/IREEGPUOps.td

@@ -56,7 +56,7 @@ def IREEGPU_MultiMmaOp : Op<IREEGPU_Dialect, "multi_mma", [
     #contraction_trait = {
       indexing_maps = #contraction_accesses,
       iterator_types = ["parallel", "parallel", "reduction"],
-      kind = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>
+      kind = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>
     }
     %3 = iree_gpu.multi_mma %0, %1, %2 #contraction_trait
       : vector<2x3x4xf16>, vector<3x5x4xf16> into vector<2x5x4xf32>
@@ -99,7 +99,7 @@ def IREEGPU_MultiMmaOp : Op<IREEGPU_Dialect, "multi_mma", [
     #contraction_trait = {
       indexing_maps = #contraction_accesses,
       iterator_types = [],
-      kind = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>
+      kind = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>
     }
     %3 = iree_gpu.multi_mma %0, %1, %2 #contraction_trait
       : vector<4xf16>, vector<4xf16> into vector<4xf32>
@@ -127,7 +127,7 @@ def IREEGPU_MultiMmaOp : Op<IREEGPU_Dialect, "multi_mma", [
     #contraction_trait = {
       indexing_maps = #contraction_accesses,
       iterator_types = ["parallel", "parallel", "reduction"],
-      kind = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>,
+      kind = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>,
       rhs_permutation = [1, 0]
     }
     %7 = iree_gpu.multi_mma %4, %5, %6 #contraction_trait

compiler/src/iree/compiler/Codegen/Dialect/GPU/IR/test/iree_gpu_attrs.mlir

@@ -2,21 +2,21 @@
 
 module {
   func.func @test_mfma_f16_16x16x16_f32() attributes {
-      mma_types = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>} {
+      mma_types = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>} {
     return
   }
 }
 // CHECK-LABEL: func @test_mfma_f16_16x16x16_f32
-//  CHECK-SAME:   mma_types = #iree_gpu.mma_layout<MFMA_F16_16x16x16_F32>
+//  CHECK-SAME:   mma_types = #iree_gpu.mma_layout<MFMA_F32_16x16x16_F16>
 
 module {
   func.func @test_mfma_f16_32x32x8_f32() attributes {
-      mma_types = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>} {
+      mma_types = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>} {
     return
   }
 }
 // CHECK-LABEL: func @test_mfma_f16_32x32x8_f32
-//  CHECK-SAME:   mma_types = #iree_gpu.mma_layout<MFMA_F16_32x32x8_F32>
+//  CHECK-SAME:   mma_types = #iree_gpu.mma_layout<MFMA_F32_32x32x8_F16>
 
 module {
   func.func @test_wmma_f16_16x16x16_f32() attributes {