- master
      - r2.**
permissions:
  contents: read

jobs:
  build:
    # Don't do this in forks, and if labeled, only for 'kokoro:force-run'
    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:

        if: contains(github.event.pull_request.labels.*.name, 'build and push to gcr.io for staging')
        uses: docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567 # v3.3.0
        with:
          registry: gcr.io
          username: _json_key
          password: ${{ secrets.GCP_CREDS }}
      -
        name: Login to AR
        # Once this is verified, change the label's name. For now, we will piggyback on gcr.io actions.

   ([#123611](https://github.com/kubernetes/kubernetes/pull/123611), [@ritazh](https://github.com/ritazh))...

- The `volume_zone` plugin will consider `beta` labels as `GA` labels during the scheduling
  process. Therefore, if the values of the labels are the same, PVs with `beta` labels
  can also be scheduled to nodes with `GA` labels. ([#118923](https://github.com/kubernetes/kubernetes/pull/118923), [@AxeZhan](https://github.com/AxeZhan))

<meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title><la:message key="labels.search_title" /></title>
<c:if test="${osddLink}">
	<link rel="search" type="application/opensearchdescription+xml"
		href="${fe:url('/osdd')}"
		title="<la:message key="labels.index_osdd_title" />" />
</c:if>
<link href="${fe:url('/css/bootstrap.min.css')}" rel="stylesheet"
	type="text/css" />

- Graduated the `LegacyServiceAccountTokenTracking` feature gate to GA. The usage of auto-generated secret-based service account token now produces warnings, and relevant Secrets are labeled with a last-used timestamp (label key `kubernetes.io/legacy-token-last-used`). ([#117591](https://github.com/kubernetes/kubernetes/pull/117591), [@zshihang](https://github.com/zshihang)) [SIG API Machinery, Auth and Testing]

                  of a service.
                items:
                  properties:
                    labels:
                      additionalProperties:
                        type: string
                      description: Labels apply a filter over the endpoints of a service
                        in the service registry.
                      type: object
                    name:

        to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.

// license that can be found in the LICENSE file.

#include "../../../../../runtime/textflag.h"

TEXT asmtest(SB),DUPOK|NOSPLIT,$0
lable1:
	BFPT	1(PC)			// 00050048
	BFPT	lable1	// BFPT 2	//1ffdff4b

lable2:
	BFPF	1(PC)			// 00040048
	BFPF	lable2	// BFPF 4 	// 1ffcff4b

	// relocation in play so the assembled offset should be 0
	JMP	foo(SB)			// 00000050

	JMP	(R4)			// 8000004c

							<em class="fa fa-arrow-circle-left">
							<la:message key="labels.profile.back" />
						</la:link>
						<button type="submit" name="changePassword"
							class="btn btn-success"
							value="<la:message key="labels.profile.update"/>">
							<em class="fa fa-pencil-alt">
							<la:message key="labels.profile.update" />
						</button>
					</div>
				</la:form>
			</div>
		</div>