tensorflow/compiler/mlir/tensorflow/ir/tf_ops.cc
static LogicalResult Verify(SizeOp op) {
  if (!HasRankAtMost(op.input(), std::numeric_limits<int32_t>::max()))
    return op.emitOpError(
        "requires ranked input tensor to be of rank INT32_MAX or less");

  return success();
}
// Verifies that,
//
// * Input type, if is a ranked tensor, has at most INT32_MAX dimensions.
//
Verifies that,
Input type, if is a ranked tensor, has at most INT32_MAX dimensions.
Verifies that Input type if is a ranked tensor has at most INT32_MAX dimensions .
static LogicalResult Verify(SizeOp op) {
  if (!HasRankAtMost(op.input(), std::numeric_limits<int32_t>::max()))
    return op.emitOpError(
        "requires ranked input tensor to be of rank INT32_MAX or less");
  return success();
}
static LogicalResult Verify ( SizeOp op ) { if ( ! HasRankAtMost ( op . input ( ) , std :: numeric_limits < int32_t > :: max ( ) ) ) return op . emitOpError ( " " ) ; return success ( ) ; }
Verifies that,
 Input type, if is a ranked tensor, has at most INT32_MAX dimensions.
Verifies that Input type if is a ranked tensor has at most INT32_MAX dimensions .