error reporting for `tf.distribute.MultiWorkerMirroredStrategy`.
        Specifically, for the type of interruption with advance notice, it
        automatically saves a checkpoint, exits the program without raising an
        unrecoverable error, and restores the progress when training restarts.

*   `tf.math`:

    *   Added `tf.math.approx_max_k` and `tf.math.approx_min_k` which are the

"description": "PreStop is called immediately before a container is terminated due to an API request or management event such as liveness/startup probe failure, preemption, resource contention, etc. The handler is not called if the container crashes or exits. The Pod's termination grace period countdown begins before the PreStop hook is executed. Regardless of the outcome of the handler, the container will eventually terminate within the Pod's termination grace period (unless delayed by finalizers). Other...

		{"ErrExist", Var, 0},
		{"ErrInvalid", Var, 0},
		{"ErrNoDeadline", Var, 10},
		{"ErrNotExist", Var, 0},
		{"ErrPermission", Var, 0},
		{"ErrProcessDone", Var, 16},
		{"Executable", Func, 8},
		{"Exit", Func, 0},
		{"Expand", Func, 0},
		{"ExpandEnv", Func, 0},
		{"File", Type, 0},
		{"FileInfo", Type, 0},
		{"FileMode", Type, 0},
		{"FindProcess", Func, 0},
		{"Getegid", Func, 0},