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