## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.

          },
          "stdin": {
            "description": "Whether this container should allocate a buffer for stdin in the container runtime. If this is not set, reads from stdin in the container will always result in EOF. Default is false.",
            "type": "boolean"
          },
          "stdinOnce": {

  let summary = "Reads and outputs the entire contents of the input filename.";

  let arguments = (ins
    TF_StrTensor:$filename
  );

  let results = (outs
    TF_StrTensor:$contents
  );
}

def TF_ReadVariableOp : TF_Op<"ReadVariableOp", []> {
  let summary = "Reads the value of a variable.";

  let description = [{

FB45          ; disallowed                             # NA   <reserved-FB45>
FB46          ; mapped                 ; 05E6 05BC     # 1.1  HEBREW LETTER TSADI WITH DAGESH
FB47          ; mapped                 ; 05E7 05BC     # 1.1  HEBREW LETTER QOF WITH DAGESH
FB48          ; mapped                 ; 05E8 05BC     # 1.1  HEBREW LETTER RESH WITH DAGESH