//
// Design decisions made:
// * Backing store for tensor memory has an associated deallocation
//   function.  This deallocation function will point to client code
//   for tensors populated by the client.  So the client can do things
//   like shadowing a numpy array.
// * We do not provide TF_OK since it is not strictly necessary and we
//   are not optimizing for convenience.
// * We make assumption that one session has one graph.  This should be

		if _, err = er.HealObject(ctx, bucket, object, "", madmin.HealOpts{NoLock: true}); err != nil {
			return err
		}
		// Fetch FileInfo again. HealObject migrates object the latest
		// format. Among other things this changes fi.DataDir and
		// possibly fi.Data (if data is inlined).
		fi, metaArr, onlineDisks, err = er.getObjectFileInfo(ctx, bucket, object, opts, true)
		if err != nil {
			return toObjectErr(err, bucket, object)

R to 2^(_W * n) R mod m (aka from one to R in // the Montgomery domain, meaning we can use Montgomery multiplication now). // We could do that by doubling _W * n times, or with a square-and-double // chain log2(_W * n) long. Turns out the fastest thing is to start out with // doublings, and switch to square-and-double once the exponent is large // enough to justify the cost of the multiplications. // The threshold is selected experimentally as a linear function of n. threshold := n / 4 // We calculate...

R to 2^(_W * n) R mod m (aka from one to R in // the Montgomery domain, meaning we can use Montgomery multiplication now). // We could do that by doubling _W * n times, or with a square-and-double // chain log2(_W * n) long. Turns out the fastest thing is to start out with // doublings, and switch to square-and-double once the exponent is large // enough to justify the cost of the multiplications. // The threshold is selected experimentally as a linear function of n. threshold := n / 4 // We calculate...

* Update cadvisor to v0.23.9 to fix a problem where attempting to gather container filesystem usage statistics could result in corrupted devicemapper thin pool storage for Docker. ([#30307](https://github.com/kubernetes/kubernetes/pull/30307), [@sjenning](https://github.com/sjenning))



# v1.3.5

Anthony Barbier, Anton Kachatkou, Anubh-V, Anuja Jakhade, Artem Ryabov, autoih,
Bairen Yi, Bas Aarts, Basit Ayantunde, Ben Barsdell, Bhavani Subramanian, Brett
Koonce, candy.dc, Captain-Pool, caster, cathy, Chong Yan, Choong Yin Thong,
Clayne Robison, Colle, Dan Ganea, David Norman, David Refaeli, dengziming, Diego
Caballero, Divyanshu, djshen, Douman, Duncan Riach, EFanZh, Elena Zhelezina,

            <type>String</type>
            <multiplicity>*</multiplicity>
          </association>
        </field>
      </fields>
      <comment>We could probably have a specific element for a dev mailing list for things like CI,
        and maybe even a specific element for the user and scm mailing lists. Then leave the more
        lose structure for any other type of mailing list.</comment>
      <codeSegments>
        <codeSegment>

### Network
- The official kube-proxy image (used by kubeadm, among other things) is now compatible with systems running iptables 1.8 in "nft" mode, and will autodetect which mode it should use. ([#82966](https://github.com/kubernetes/kubernetes/pull/82966), [@danwinship](https://github.com/danwinship))

### Migration

Check out the [Pydantic migration guide](https://docs.pydantic.dev/2.0/migration/).

For the things that need changes in your Pydantic models, the Pydantic team built [`bump-pydantic`](https://github.com/pydantic/bump-pydantic).

&::-webkit-scrollbar-thumb {\n    background-color: #a9a9a9;\n  }\n\n  &::-webkit-scrollbar-track {\n    background-color: transparent;\n  }\n\n  &::-webkit-scrollbar-corner {\n    background-color: transparent;\n  }\n}\n\n@mixin scrollbar-width-thin() {\n  scrollbar-width: thin;\n\n  &::-webkit-scrollbar {\n    width: .5rem;\n    height: .5rem;\n  }\n}\n\n@mixin scrollbar-width-none() {\n  scrollbar-width: none;\n\n  &::-webkit-scrollbar {\n    width: 0;\n  }\n}\n\n//\n","//\n// Component: Main Header\n//\n\n.main-header...