bolt/deps/llvm-18.1.8/mlir/test/python/dialects/nvgpu.py
2025-02-14 19:21:04 +01:00

26 lines
896 B
Python

# RUN: %PYTHON %s | FileCheck %s
# This is just a smoke test that the dialect is functional.
from mlir.ir import *
from mlir.dialects import nvgpu, arith, memref
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():
cst = arith.ConstantOp(value=42, result=IndexType.get())
mem_t = MemRefType.get((10, 10), F32Type.get(), memory_space=Attribute.parse("3"))
vec_t = VectorType.get((4, 1), F32Type.get())
mem = memref.AllocOp(mem_t, [], [])
# CHECK: %0 = nvgpu.ldmatrix %alloc[%c42, %c42] {numTiles = 4 : i32, transpose = false} : memref<10x10xf32, 3> -> vector<4x1xf32>
nvgpu.LdMatrixOp(vec_t, mem, [cst, cst], False, 4)