The random integers are slightly biased unless `maxval - minval` is an exact
power of two.  The bias is small for values of `maxval - minval` significantly
smaller than the range of the output (either `2^32` or `2^64`).
  }];

  let arguments = (ins
    Arg<TF_ResourceTensor, "", [TF_VariableRead,TF_VariableWrite]>:$resource,
    TF_Int64Tensor:$algorithm,
    TF_I32OrI64Tensor:$shape,

  %264 = "tf.StridedSlice"(%263, %18, %7, %18) {begin_mask = 0 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 1 : i64} : (tensor<2xi64>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<i64>
  %265 = "tf.Cast"(%264) {Truncate = false, device = ""} : (tensor<i64>) -> tensor<i32>

    * Add docs for: [Body - updates](https://fastapi.tiangolo.com/tutorial/body-updates/), using Pydantic's `skip_defaults`.
    * Add method consistency tests.
    * PR [#264](https://github.com/tiangolo/fastapi/pull/264).

* Add `CONTRIBUTING.md` file to GitHub, to help new contributors. PR [#255](https://github.com/tiangolo/fastapi/pull/255) by [@wshayes](https://github.com/wshayes).

The random integers are slightly biased unless `maxval - minval` is an exact
power of two.  The bias is small for values of `maxval - minval` significantly
smaller than the range of the output (either `2^32` or `2^64`).
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,
    Arg<TF_I32OrI64Tensor, [{0-D.  Inclusive lower bound on the generated integers.}]>:$minval,

*   Updates `zlib` to `1.2.12` after `1.2.11` was pulled due to [security issue](https://www.openwall.com/lists/oss-security/2022/03/28/1)

# Release 2.6.4

This releases introduces several vulnerability fixes:

*   Fixes a code injection in `saved_model_cli` ([CVE-2022-29216](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29216))