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# RUN: %PYTHON %s | FileCheck %s
# This is just a smoke test that the dialect is functional.
from mlir.ir import *
from mlir.dialects import nvvm
from mlir.dialects import llvm
from mlir.dialects import func
def constructAndPrintInModule(f):
print("\nTEST:", f.__name__)
with Context(), Location.unknown():
module = Module.create()
with InsertionPoint(module.body):
f()
print(module)
return f
# CHECK-LABEL: testSmoke
@constructAndPrintInModule
def testSmoke():
i64 = IntegerType.get_signless(64)
mat64f32_t = Type.parse(
"!llvm.struct<(f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32, f32)>"
)
shape_attr = Attribute.parse("#nvvm.shape<m = 64, n = 32, k = 16>")
# CHECK-LABEL: func @wgmma_f32_f16_f16(%arg0: i64, %arg1: i64)
@func.FuncOp.from_py_func(i64, i64)
def wgmma_f32_f16_f16(desc_a, desc_b):
# CHECK: nvvm.cp.async.wait.group 5
nvvm.CpAsyncWaitGroupOp(5)
# CHECK: %0 = llvm.mlir.undef : [[MAT_T:.*]]
result = llvm.UndefOp(mat64f32_t)
# CHECK: %1 = nvvm.wgmma.mma_async %arg0, %arg1, %0, <m = 64, n = 32, k = 16>, D[<f32>, <zero>], A[<f16>, <neg>, <col>], B[<f16>, <neg>, <col>] : [[MAT_T]] -> [[MAT_T]]
result1 = nvvm.WgmmaMmaAsyncOp(
results_=mat64f32_t,
inouts=result,
descriptorA=desc_a,
descriptorB=desc_b,
shape=shape_attr,
typeA=nvvm.WGMMATypes.f16,
typeB=nvvm.WGMMATypes.f16,
typeD=nvvm.WGMMATypes.f32,
scaleD=nvvm.WGMMAScaleOut.zero,
scaleA=nvvm.WGMMAScaleIn.neg,
scaleB=nvvm.WGMMAScaleIn.neg,
layoutA=nvvm.MMALayout.col,
layoutB=nvvm.MMALayout.col,
)
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