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// RUN: mlir-opt -pass-pipeline="builtin.module(func.func(convert-shape-constraints))" <%s | FileCheck %s
// There's not very much useful to check here other than pasting the output.
// CHECK-LABEL: func @cstr_broadcastable(
// CHECK-SAME: %[[LHS:.*]]: tensor<?xindex>,
// CHECK-SAME: %[[RHS:.*]]: tensor<?xindex>) -> !shape.witness {
// CHECK: %[[RET:.*]] = shape.const_witness true
// CHECK: %[[BROADCAST_IS_VALID:.*]] = shape.is_broadcastable %[[LHS]], %[[RHS]]
// CHECK: cf.assert %[[BROADCAST_IS_VALID]], "required broadcastable shapes"
// CHECK: return %[[RET]] : !shape.witness
// CHECK: }
func.func @cstr_broadcastable(%arg0: tensor<?xindex>, %arg1: tensor<?xindex>) -> !shape.witness {
%witness = shape.cstr_broadcastable %arg0, %arg1 : tensor<?xindex>, tensor<?xindex>
return %witness : !shape.witness
}
// CHECK-LABEL: func @cstr_eq(
// CHECK-SAME: %[[LHS:.*]]: tensor<?xindex>,
// CHECK-SAME: %[[RHS:.*]]: tensor<?xindex>) -> !shape.witness {
// CHECK: %[[RET:.*]] = shape.const_witness true
// CHECK: %[[EQUAL_IS_VALID:.*]] = shape.shape_eq %[[LHS]], %[[RHS]]
// CHECK: cf.assert %[[EQUAL_IS_VALID]], "required equal shapes"
// CHECK: return %[[RET]] : !shape.witness
// CHECK: }
func.func @cstr_eq(%arg0: tensor<?xindex>, %arg1: tensor<?xindex>) -> !shape.witness {
%witness = shape.cstr_eq %arg0, %arg1 : tensor<?xindex>, tensor<?xindex>
return %witness : !shape.witness
}
// CHECK-LABEL: func @cstr_require
func.func @cstr_require(%arg0: i1) -> !shape.witness {
// CHECK: %[[RET:.*]] = shape.const_witness true
// CHECK: cf.assert %arg0, "msg"
// CHECK: return %[[RET]]
%witness = shape.cstr_require %arg0, "msg"
return %witness : !shape.witness
}
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