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Results 51 - 60 of 406 for content_length:[500000 TO 999999] (0.06 sec)

  1. Jobs | Kubernetes

    Jobs represent one-off tasks that run to completion and then stop.
    kubernetes.io/docs/concepts/workloads/controllers/job/
    Registered: Fri Mar 22 07:23:48 UTC 2024
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  2. Custom Response Classes - File, HTML, Redirect,...

    FastAPI framework, high performance, easy to learn, fast to code, ready for production
    fastapi.tiangolo.com/zh-hant/reference/responses/
    Registered: Fri Mar 22 07:27:44 UTC 2024
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  3. Request Parameters - FastAPI

    FastAPI framework, high performance, easy to learn, fast to code, ready for production
    fastapi.tiangolo.com/zh-hant/reference/parameters/
    Registered: Fri Mar 22 07:27:51 UTC 2024
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  4. Configure a Pod to Use a ConfigMap | Kubernetes

    Many applications rely on configuration which is used during either application initialization or runtime. Most times, there is a requirement to adjust values assigned to configuration parameters. ConfigMaps are a Kubernetes mechanism that let you inject configuration data into application pods. The ConfigMap concept allow you to decouple configuration artifacts from image content to keep containerized applications portable. For example, you can download and run the same container image to spin up containers for the purposes of local development, system test, or running a live end-user workload.
    kubernetes.io/docs/tasks/configure-pod-container/configure-pod-configmap/
    Registered: Fri Mar 22 07:40:25 UTC 2024
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  5. Declarative Management of Kubernetes Objects Us...

    Kustomize is a standalone tool to customize Kubernetes objects through a kustomization file. Since 1.14, Kubectl also supports the management of Kubernetes objects using a kustomization file. To view Resources found in a directory containing a kustomization file, run the following command: kubectl kustomize <kustomization_directory> To apply those Resources, run kubectl apply with --kustomize or -k flag: kubectl apply -k <kustomization_directory> Before you begin Install kubectl. You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.
    kubernetes.io/docs/tasks/manage-kubernetes-objects/kustomization/
    Registered: Fri Mar 22 07:39:51 UTC 2024
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  6. Ingress | Kubernetes

    Make your HTTP (or HTTPS) network service available using a protocol-aware configuration mechanism, that understands web concepts like URIs, hostnames, paths, and more. The Ingress concept lets you map traffic to different backends based on rules you define via the Kubernetes API.
    kubernetes.io/docs/concepts/services-networking/ingress/
    Registered: Fri Mar 22 07:21:29 UTC 2024
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  7. gluon.rnn — Apache MXNet documentation

    gluon.rnn Build-in recurrent neural network layers are provided in the following two modules: mxnet.gluon.rnn Recurre...
    mxnet.apache.org/versions/master/api/python/docs/api/gluon/rnn/index.html
    Registered: Fri Mar 22 08:58:19 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  8. ndarray.contrib — Apache MXNet documentation

    ndarray.contrib Contrib NDArray API of MXNet. Functions rand_zipfian (true_classes, num_sampled, …) Draw random sampl...
    mxnet.apache.org/versions/master/api/python/docs/api/legacy/ndarray/contrib/index.html
    Registered: Fri Mar 22 08:57:28 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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  9. Probability distributions - torch.distributions...

    Get Started Ecosystem Edge About PyTorch Edge ExecuTorch Blog Tutorials Docs PyTorch torchaudio torchtext torchvision...
    pytorch.org/docs/stable/distributions.html
    Registered: Fri Mar 22 10:19:30 UTC 2024
    - Last Modified: Fri Mar 22 01:10:55 UTC 2024
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  10. gluon.loss — Apache MXNet documentation

    gluon.loss Gluon provides pre-defined loss functions in the mxnet.gluon.loss module. losses for training neural netwo...
    mxnet.apache.org/versions/master/api/python/docs/api/gluon/loss/index.html
    Registered: Fri Mar 22 08:59:41 UTC 2024
    - Last Modified: Thu Jan 05 05:04:49 UTC 2023
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