# limitations under the License.
# ==============================================================================
source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Record GPU count and CUDA version status
if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3

    #   -r ci/official/requirements_updater/nvidia-constraints.txt
    #   -r ci/official/requirements_updater/nvidia-requirements.txt
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
nvidia-cuda-cupti-cu12==12.5.82 \
    --hash=sha256:4f835281cf492e2bedd153f5c3de9da8f1d775a419468305e64ce73b3b0c6dc3 \
    --hash=sha256:bde77a5feb66752ec61db2adfe47f56b941842825b4c7e2068aff27c9d107953 \

chính xác",badStrength:"Mật khẩu chưa đủ độ phức tạp",badNumberOfSelectedOptionsStart:"Bạn cần tích chọn ít nhất ",badNumberOfSelectedOptionsEnd:" lựa chọn",badAlphaNumeric:"Yêu cầu chỉ nhập chữ hoặc số ",badAlphaNumericExtra:" và ",wrongFileSize:"File của bạn quá lớn (chỉ chấp nhận file không quá %s)",wrongFileType:"Chỉ cho phép các định dạng file sau: %s",groupCheckedRangeStart:"Vui lòng tích chọn từ ",groupCheckedTooFewStart:"Vui lòng tích chọn ít nhất ",groupCheckedTooManyStart:"Vui lòng tích chọn...

    Traverser<Character> traverser = Traverser.forTree(CYCLIC_GRAPH_CONTAINING_TREE);

    assertEqualCharNodes(traverser.depthFirstPostOrder('a'), "cdba");
    assertEqualCharNodes(traverser.depthFirstPostOrder('b'), "cdb");
    assertEqualCharNodes(traverser.depthFirstPostOrder('d'), "d");
  }

  @Test

* Hermetic CUDA support is added.

  Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for
[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
 pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using

labels.notification_search_top=Página superior de búsqueda
labels.storage_endpoint=Punto final
labels.storage_access_key=Clave de acceso
labels.storage_secret_key=Clave secreta
labels.storage_bucket=Cubo
labels.storage_type=Tipo
labels.storage_type_auto=Automático
labels.storage_type_s3=S3
labels.storage_type_gcs=GCS
labels.storage_region=Región
labels.storage_project_id=ID de proyecto

        "brazilian_stop": {
          "type":       "stop",

        "brazilian_stop": {
          "type":       "stop",

// https://www.iana.org/domains/root/db/catholic.html
catholic

// cba : COMMONWEALTH BANK OF AUSTRALIA
// https://www.iana.org/domains/root/db/cba.html
cba

// cbn : The Christian Broadcasting Network, Inc.
// https://www.iana.org/domains/root/db/cbn.html
cbn

// cbre : CBRE, Inc.