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# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
import numpy as np
import mlir.dialects.func as func
import mlir.dialects.shape as shape
def run(f):
print("\nTEST:", f.__name__)
f()
return f
# CHECK-LABEL: TEST: testConstShape
@run
def testConstShape():
with Context() as ctx, Location.unknown():
module = Module.create()
f32 = F32Type.get()
with InsertionPoint(module.body):
@func.FuncOp.from_py_func(
RankedTensorType.get((12, ShapedType.get_dynamic_size()), f32)
)
def const_shape_tensor(arg):
shape.ConstWitnessOp(False)
shape.ConstSizeOp(30)
shape.ConstSizeOp(IntegerAttr.get(IndexType.get(), 40))
x = shape.ConstShapeOp([1, 2])
shape.MeetOp(x, x, error="impossible")
return shape.ConstShapeOp(
DenseElementsAttr.get(
np.array([3, 4], dtype=np.int64), type=IndexType.get()
)
)
# CHECK-LABEL: func @const_shape_tensor(%arg0: tensor<12x?xf32>)
# CHECK-DAG: shape.const_witness false
# CHECK-DAG: shape.const_size 30
# CHECK-DAG: shape.const_size 40
# CHECK-DAG: shape.const_shape [1, 2] : tensor<2xindex>
# CHECK-DAG: shape.const_shape [3, 4] : tensor<2xindex>
print(module)
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