// Tests `tf_device.cluster_func` with missing `step_marker_location` attribute.

module attributes {tf.versions = {producer = 888 : i32}, tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0"]} {
  func.func @bad_num_cores_per_replica() {
    // expected-error@+1 {{requires attribute 'step_marker_location'}}

    This pass outlines the body of a `tf_device.cluster` into a function and
    replaces the `tf_device.cluster` op with an equivalent `tf_device.cluster_func`
    op. Implicit operands will be captured and materialized as explicit arguments to
    the newly created functions and associated `tf_device.cluster_func` ops.

    For example, the following:

    ```mlir
    func @computation(%arg0: tensor<i32>) -> tensor<i32> {