## Changelog since v1.23.0

## Major Themes

### Dockershim Removed from kubelet

After its deprecation in v1.20, the dockershim component has been removed from the kubelet.
From v1.24 onwards, you will need to either use one of the other [supported runtimes](https://kubernetes.io/docs/setup/production-environment/container-runtimes/) (such as containerd or CRI-O)

<code>q = x / y</code> and remainder <code>r = x % y</code> satisfy the following
relationships:
</p>

<pre>
x = q*y + r  and  |r| &lt; |y|
</pre>

<p>
with <code>x / y</code> truncated towards zero
(<a href="https://en.wikipedia.org/wiki/Modulo_operation">"truncated division"</a>).
</p>

<pre>
 x     y     x / y     x % y
 5     3       1         2
-5     3      -1        -2

In order to move towards an API that is consistent whether the configuration cache is enabled or not, the following APIs are deprecated and will be removed or be made an error in Gradle 8.0:

<code>q = x / y</code> and remainder <code>r = x % y</code> satisfy the following
relationships:
</p>

<pre>
x = q*y + r  and  |r| &lt; |y|
</pre>

<p>
with <code>x / y</code> truncated towards zero
(<a href="https://en.wikipedia.org/wiki/Modulo_operation">"truncated division"</a>).
</p>

<pre>
 x     y     x / y     x % y
 5     3       1         2
-5     3      -1        -2

    `pip install tensorflow` from now on.
* **Mac x86 users:** Mac x86 builds are being deprecated and will no longer be
  released as a Pip package from TF 2.17 onwards.

### Known Caveats

* <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).>
* <ADDING/BUMPING DEPENDENCIES SHOULD GO HERE>
* <KNOWN LACK OF SUPPORT ON SOME PLATFORM, SHOULD GO HERE>

  by default. The CSI drivers can make use of the `secretRef` values passed in `NodeExpansion`
  request optionally sent by the CSI Client from this release onwards. ([#121303](https://github.com/kubernetes/kubernetes/pull/121303), [@humblec](https://github.com/humblec))

  );
}

def TF_RollOp : TF_Op<"Roll", [Pure]> {
  let summary = "Rolls the elements of a tensor along an axis.";

  let description = [{
The elements are shifted positively (towards larger indices) by the offset of
`shift` along the dimension of `axis`. Negative `shift` values will shift
elements in the opposite direction. Elements that roll passed the last position

    // d = k[1] - m
    // (A.k.a. the number of the diagonal, depending on m. Note that we
    //  subtract m here. This means we start with the superdiagonals and
    //  move downwards towards the subdiagonals. So the start indices will
    //  be decreasing.)
    Value d = rewriter.create<SubtractOp>(loc, b_k1, iotaM);
    Value neg_d = rewriter.create<NegOp>(loc, d);

...

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