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ci/official/README.md
TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - Nightly jobs (Run nightly on the `nightly` branch) - Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh` - Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh`
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common-protos/k8s.io/api/batch/v1/generated.proto
// a Job is created with suspend set to true, no Pods are created by the Job // controller. If a Job is suspended after creation (i.e. the flag goes from // false to true), the Job controller will delete all active Pods associated // with this Job. Users must design their workload to gracefully handle this. // Suspending a Job will reset the StartTime field of the Job, effectively
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docs/batch-jobs/README.md
# MinIO Batch Job MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO - Replicate objects between buckets on multiple sites Upcoming Jobs - Copy objects from NAS to MinIO - Copy objects from HDFS to MinIO ## Replication Job To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes
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common-protos/k8s.io/api/batch/v1beta1/generated.proto
// reason UnknownTimeZone. // More information can be found in https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/#time-zones // +optional optional string timeZone = 8; // Optional deadline in seconds for starting the job if it misses scheduled // time for any reason. Missed jobs executions will be counted as failed ones.
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ci/official/requirements_updater/requirements.in
wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0
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ci/official/envs/versions_upload
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory.
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.teamcity/src/main/kotlin/common/VersionedSettingsBranch.kt
val DslContext.uuidPrefix: String get() = settingsRoot.id.toString().substringAfter("Gradle") data class VersionedSettingsBranch(val branchName: String) { /** * 0~23. * To avoid nightly promotion jobs running at the same time, * we run each branch on different hours. * master - 0:00 * release - 1:00 * release6x - 2:00 * release7x - 3:00 * ... * releaseNx - (N-4):00 */
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ci/official/envs/enable_pycpp_build
# limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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ci/devinfra/README.md
[@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** A directory for build and CI related scripts and jobs managed by the TensorFlow
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docs/de/docs/history-design-future.md
Hier ist ein wenig über diese Geschichte. ## Alternativen Ich habe seit mehreren Jahren APIs mit komplexen Anforderungen (maschinelles Lernen, verteilte Systeme, asynchrone Jobs, NoSQL-Datenbanken, usw.) erstellt und leitete mehrere Entwicklerteams. Dabei musste ich viele Alternativen untersuchen, testen und nutzen. Die Geschichte von **FastAPI** ist zu einem großen Teil die Geschichte seiner Vorgänger.
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