RUN curl https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-x86_64.tar.gz | \
    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet && \
    ln -s /google-cloud-sdk/bin/gcloud /usr/bin/gcloud
ENV PATH="$PATH:/google-cloud-sdk/bin/:/usr/local/cuda/bin/"

# Download and install patchelf v0.18.0 from GitHub. The default Ubuntu focal

else
  # The volume mapping flag below shares the user's gcloud credentials, if any,
  # with the container, in case the user has credentials stored there.
  # This would allow Bazel to authenticate for RBE.
  # Note: TF's CI does not have any credentials stored there.
  TFCI_DOCKER_ARGS="$TFCI_DOCKER_ARGS -v $HOME/.config/gcloud:/root/.config/gcloud"

RUN (New-Object Net.WebClient).DownloadFile('https://dl.google.com/dl/cloudsdk/channels/rapid/google-cloud-sdk.zip', 'C:\Temp\google-cloud-sdk.zip'); \
    Expand-Archive -Path 'C:\Temp\google-cloud-sdk.zip' -DestinationPath $env:ProgramFiles -Verbose:$false
RUN & \"$env:ProgramFiles\\google-cloud-sdk\\install.bat\" --path-update false
RUN $env:Path += \";$env:ProgramFiles\\google-cloud-sdk\\bin\"; \

/_tmp/
/doc_tmp/

# Test artifacts produced by Prow/kubetest2 jobs
/_artifacts/
/_rundir/

# Go dependencies installed on Jenkins
/_gopath/

# Config directories created by gcloud and gsutil on Jenkins
/.config/gcloud*/
/.gsutil/

# CoreOS stuff
/cluster/libvirt-coreos/coreos_*.img

# Downloaded Kubernetes binary release
/kubernetes/

# direnv .envrc files
.envrc

# 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.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  pyenv install -s "3.11"
  if [[ $? -eq 0 ]]; then
    pyenv local "3.11"

# limitations under the License.
# ==============================================================================
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
# 1. Upload nightlies
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

# Upload all build artifacts to e.g. gs://tensorflow/versions/2.16.0-rc1 (releases) or
# gs://tensorflow/nightly/2.16.0-dev20240105 (nightly), overwriting previous values.
if [[ "$TFCI_ARTIFACT_FINAL_GCS_ENABLE" == 1 ]]; then
  gcloud auth activate-service-account --key-file="$TFCI_ARTIFACT_FINAL_GCS_SA_PATH"

  # $TF_VER_FULL will resolve to e.g. "2.15.0-rc2". Since $TF_VER_FULL comes

#
#   RBE is incompatible with local caching, so you must remove
#   disk_cache, public_cache, and public_cache_push from your $TFCI file.
#
# To use RBE, you must first run `gcloud auth application-default login`, then:
export TFCI=py311,linux_x86,rbe

# Finally: Run your script of choice.
#   If you've clicked on a test result from our CI (via a dashboard or GitHub link),

# Triển khai FastAPI trên các Dịch vụ Cloud

Bạn có thể sử dụng **bất kỳ nhà cung cấp dịch vụ cloud** nào để triển khai ứng dụng FastAPI của mình.

Trong hầu hết các trường hợp, các nhà cung cấp dịch vụ cloud lớn đều có hướng dẫn triển khai FastAPI với họ.

## Nhà cung cấp dịch vụ Cloud - Nhà tài trợ