// CHECK-NEXT: return [[SELECT]]
  %0 = "tf.FloorMod"(%arg0, %arg1) : (tensor<?x?xi32>, tensor<?xi32>) -> tensor<?x?xi32>
  func.return %0: tensor<?x?xi32>
}

// -----

// CHECK-LABEL: func @floormod_dynamic_broadcast_denominator
func.func @floormod_dynamic_broadcast_denominator_(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?x?xf32>) -> tensor<?x?x?xf32> {
  // CHECK-NOT: tf.FloorMod

  func.return %15 : tensor<8x128xbf16>
}

// CHECK-LABEL: func @convert_floor_mod_float
// CHECK: %[[RESULT:.*]] = "tf.FloorMod"(%arg0, %arg1) : (tensor<192x8xbf16>, tensor<192x8xbf16>) -> tensor<192x8xbf16>
// CHECK: return %[[RESULT]]
// CHECK: }

        op.getLoc(),
        ChangeTensorElementType(&rewriter, out_type, rewriter.getF32Type()), l,
        r);

    auto floor_op =
        rewriter.create<ConvertOp>(op.getLoc(), out_type, intermediate);
    rewriter.replaceOp(op, floor_op.getResult());
    return success();
  }
};

class ConvertBroadcastToOp : public OpRewritePattern<TF::BroadcastToOp> {
 public: