def TF_StatelessRandomBinomialOp : TF_Op<"StatelessRandomBinomial", [Pure, TF_NoConstantFold]> {
  let summary = [{
Outputs deterministic pseudorandom random numbers from a binomial distribution.
  }];

  let description = [{
Outputs random values from a binomial distribution.

The outputs are a deterministic function of `shape`, `seed`, `counts`, and `probs`.
  }];

  let arguments = (ins

    *   Add a new "result_type" parameter to `tf.strings.split`.
    *   Add name argument to `tf.string_split` and `tf.strings_split`.
    *   Extend `tf.strings.split` to support inputs with any rank.
    *   Added `tf.random.binomial`.
    *   Added `key` and `skip` methods to `random.experimental.Generator`.
    *   Extend `tf.function` with basic support for CompositeTensors arguments
        (such as `SparseTensor` and `RaggedTensor`).

		{"(*Float).UnmarshalText", Method, 6},
		{"(*Int).Abs", Method, 0},
		{"(*Int).Add", Method, 0},
		{"(*Int).And", Method, 0},
		{"(*Int).AndNot", Method, 0},
		{"(*Int).Append", Method, 6},
		{"(*Int).Binomial", Method, 0},
		{"(*Int).Bit", Method, 0},
		{"(*Int).BitLen", Method, 0},
		{"(*Int).Bits", Method, 0},
		{"(*Int).Bytes", Method, 0},
		{"(*Int).Cmp", Method, 0},
		{"(*Int).CmpAbs", Method, 10},