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README.md
``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.* #### *Try your first TensorFlow program* ```shell $ python ``` ```python
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tensorflow/c/README.md
- Nightly builds: - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz) - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)
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ci/official/README.md
# value in the "env_vars" list that you can choose to copy that environment. # Ex. 1: TFCI=py311,linux_x86_cuda,nightly_upload (nightly job) # Ex. 2: TFCI=py39,linux_x86,rbe (continuous job) # Non-Googlers should replace "nightly_upload" or "rbe" with # "public_cache,disk_cache". # Googlers should replace "nightly_upload" with "public_cache,disk_cache" or # "rbe", if you have set up your system to use RBE (see further below).
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README.md
OkHttp works on Android 5.0+ (API level 21+) and Java 8+. OkHttp depends on [Okio][okio] for high-performance I/O and the [Kotlin standard library][kotlin]. Both are small libraries with strong backward-compatibility. We highly recommend you keep OkHttp up-to-date. As with auto-updating web browsers, staying current with HTTPS clients is an important defense against potential security problems. [We
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ci/official/requirements_updater/README.md
) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ```
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manifests/charts/README.md
roles to manage different parts of Istio. For example, a security team would maintain the root CA and policy, a telemetry team may only have access to Prometheus, and a different team may maintain the control plane components (which are highly security sensitive). The install is organized in 'environments' - each environment consists of a set of components in different namespaces that are configured to work together. Regardless of 'environment',
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.teamcity/README.md
| |--------- QuickFeedback | |--------- ... | |--------- ReadyForRelease | |---------- Promotion | |--------- Publish Nightly Snapshot | |--------- Publish Branch Snapshot | |--------- ... | |---------- Util |--------- ...
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docs/orchestration/kubernetes/README.md
## MinIO Deployment on Kubernetes There are multiple options to deploy MinIO on Kubernetes: - MinIO-Operator: Operator offers seamless way to create and update highly available distributed MinIO clusters. Refer [MinIO Operator documentation](https://github.com/minio/minio-operator/blob/master/README.md) for more details.
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docs/compression/README.md
```bash ~ mc admin config get myminio compression compression extensions=".txt,.log,.csv,.json,.tar,.xml,.bin" mime_types="text/*,application/json,application/xml" ``` Default config includes most common highly compressible content extensions and mime-types. ```bash ~ mc admin config set myminio compression extensions=".pdf" mime_types="application/pdf" ``` To show help on setting compression config values. ```bash
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docs/distributed/README.md
## Why distributed MinIO? MinIO in distributed mode can help you setup a highly-available storage system with a single object storage deployment. With distributed MinIO, you can optimally use storage devices, irrespective of their location in a network. ### Data protection
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