*   `tf.distribute`

    *   Opened an experimental API, `tf.distribute.experimental.coordinator.get_current_worker_index`, for retrieving the worker index from within a worker, when using parameter server training with a custom training loop.

*   `tf.experimental.dtensor`

preceded by a ConfigureTPUEmbeddingHost op that sets up the correct
embedding table configuration. For example, this op is used to install
parameters that are loaded from a checkpoint before a training loop is
executed.
  }];

  let arguments = (ins
    Arg<TF_Float32Tensor, [{Value of parameters used in the ADAM optimization algorithm.}]>:$parameters,

1EFD          ; valid                                  # 5.1  LATIN SMALL LETTER MIDDLE-WELSH V
1EFE          ; mapped                 ; 1EFF          # 5.1  LATIN CAPITAL LETTER Y WITH LOOP
1EFF          ; valid                                  # 5.1  LATIN SMALL LETTER Y WITH LOOP
1F00..1F07    ; valid                                  # 1.1  GREEK SMALL LETTER ALPHA WITH PSILI..GREEK SMALL LETTER ALPHA WITH DASIA AND PERISPOMENI

		{"ELF_PRARGSZ", Const, 0},
		{"ELIBACC", Const, 0},
		{"ELIBBAD", Const, 0},
		{"ELIBEXEC", Const, 0},
		{"ELIBMAX", Const, 0},
		{"ELIBSCN", Const, 0},
		{"ELNRNG", Const, 0},
		{"ELOOP", Const, 0},
		{"EMEDIUMTYPE", Const, 0},
		{"EMFILE", Const, 0},
		{"EMLINK", Const, 0},
		{"EMSGSIZE", Const, 0},
		{"EMT_TAGOVF", Const, 1},
		{"EMULTIHOP", Const, 0},