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ci/official/installer_wheel.sh
python3 -m wheel pack "${pkg_name}" done # Switch back to the original working directory. This is needed to ensure that # cleanup steps at the end of the script works as expected. popd echo "Following installer wheels were generated: " ls "${TFCI_OUTPUT_DIR}"/*.whl if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Tue Mar 04 22:39:12 UTC 2025 - 3.5K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements.in
opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions ~= 4.14.1 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 ml_dtypes >= 0.5.1, < 0.6.0 auditwheel >= 6.1.0 # 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
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 1.2K bytes - Viewed (0) -
docs/en/docs/fastapi-cli.md
# FastAPI CLI { #fastapi-cli } **FastAPI CLI** is a command line program that you can use to serve your FastAPI app, manage your FastAPI project, and more. When you install FastAPI (e.g. with `pip install "fastapi[standard]"`), it includes a package called `fastapi-cli`, this package provides the `fastapi` command in the terminal. To run your FastAPI app for development, you can use the `fastapi dev` command: <div class="termy"> ```console
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 4.8K bytes - Viewed (0) -
docs/em/docs/tutorial/security/oauth2-jwt.md
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 8.6K bytes - Viewed (0) -
compat/maven-compat/src/test/java/org/apache/maven/artifact/deployer/ArtifactDeployerTest.java
sessionScope.enter(); try { sessionScope.seed(MavenSession.class, mock(MavenSession.class)); String artifactBasedir = new File(getBasedir(), "src/test/resources/artifact-install").getAbsolutePath(); Artifact artifact = createArtifact("artifact", "1.0"); File file = new File(artifactBasedir, "artifact-1.0.jar");
Registered: Sun Sep 07 03:35:12 UTC 2025 - Last Modified: Fri Oct 25 12:31:46 UTC 2024 - 2.8K bytes - Viewed (0) -
docs/uk/docs/index.md
<div class="termy"> ```console $ pip install fastapi ---> 100% ``` </div> Вам також знадобиться сервер ASGI для продакшину, наприклад <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> або <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>. <div class="termy"> ```console $ pip install uvicorn[standard] ---> 100% ```
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 24.2K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/helper/PluginHelperTest.java
} } public void test_installArtifact_default() { PluginHelper testHelper = new PluginHelper() { @Override protected void install(Artifact artifact) { // Mock install method } }; Artifact artifact = new Artifact("fess-ds-test", "1.0.0", "http://test.com/test.jar"); try {
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Sat Jul 12 05:35:01 UTC 2025 - 22.1K bytes - Viewed (0) -
ci/official/containers/ml_build/cuda12.8_cudnn9.8.packages.txt
libcufft-12-8 libcurand-12-8 libcusolver-dev-12-8 libcusparse-dev-12-8 libcublas-12-8 libcublas-dev-12-8 libnccl-dev=2.25.1-1+cuda12.8 libnccl2=2.25.1-1+cuda12.8 # CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn9-dev-cuda-12=9.8.0.87-1
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Mar 14 22:45:44 UTC 2025 - 534 bytes - Viewed (0) -
ci/official/containers/ml_build/cuda13.0_cudnn9.12.packages.txt
libcufft-13-0 libcurand-13-0 libcusolver-dev-13-0 libcusparse-dev-13-0 libcublas-13-0 libcublas-dev-13-0 libnccl-dev=2.27.7-1+cuda13.0 libnccl2=2.27.7-1+cuda13.0 # CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn9-dev-cuda-13=9.12.0.46-1
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Aug 15 20:39:50 UTC 2025 - 536 bytes - Viewed (0) -
docs/zh-hant/docs/virtual-environments.md
/// //// tab | `pip` <div class="termy"> ```console $ pip install "fastapi[standard]" ---> 100% ``` </div> //// //// tab | `uv` 如果你有 <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">`uv`</a>: <div class="termy"> ```console $ uv pip install "fastapi[standard]" ---> 100% ``` </div> ////
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Dec 09 22:39:33 UTC 2024 - 20.7K bytes - Viewed (0)