from mlir.ir import *
import mlir.dialects.builtin as builtin
import mlir.dialects.func as func
import mlir.dialects.vector as vector
def run(f):
print("\nTEST:", f.__name__)
with Context(), Location.unknown():
f()
return f
@run
def testPrintOp():
module = Module.create()
with InsertionPoint(module.body):
@func.FuncOp.from_py_func(VectorType.get((12, 5), F32Type.get()))
def print_vector(arg):
return vector.PrintOp(source=arg)
print(module)
@run
def testTransferReadOp():
module = Module.create()
with InsertionPoint(module.body):
vector_type = VectorType.get([2, 3], F32Type.get())
memref_type = MemRefType.get(
[ShapedType.get_dynamic_size(), ShapedType.get_dynamic_size()],
F32Type.get(),
)
index_type = IndexType.get()
mask_type = VectorType.get(vector_type.shape, IntegerType.get_signless(1))
identity_map = AffineMap.get_identity(vector_type.rank)
identity_map_attr = AffineMapAttr.get(identity_map)
f = func.FuncOp(
"transfer_read", ([memref_type, index_type, F32Type.get(), mask_type], [])
)
with InsertionPoint(f.add_entry_block()):
A, zero, padding, mask = f.arguments
vector.TransferReadOp(
vector_type,
A,
[zero, zero],
identity_map_attr,
padding,
[False, False],
mask=mask,
)
vector.TransferReadOp(
vector_type, A, [zero, zero], identity_map_attr, padding, [False, False]
)
func.ReturnOp([])
print(module)
@run
def testBitEnumCombiningKind():
module = Module.create()
with InsertionPoint(module.body):
f32 = F32Type.get()
vector_type = VectorType.get([16], f32)
@func.FuncOp.from_py_func(vector_type)
def reduction(arg):
v = vector.ReductionOp(f32, vector.CombiningKind.ADD, arg)
return v
print(module)