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.bazelrc
# CUDA WHEEL test:linux_cuda_wheel_test_filters --test_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:linux_cuda_wheel_test_filters --build_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 22:02:31 UTC 2024 - 51.3K bytes - Viewed (0) -
ci/official/envs/linux_x86_cuda_build
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 17:57:41 UTC 2024 - 1.1K bytes - Viewed (0) -
docs/en/docs/advanced/events.md
And then, right after the `yield`, we unload the model. This code will be executed **after** the application **finishes handling requests**, right before the *shutdown*. This could, for example, release resources like memory or a GPU. /// tip The `shutdown` would happen when you are **stopping** the application. Maybe you need to start a new version, or you just got tired of running it. 🤷 /// ### Lifespan function
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Oct 28 10:36:22 UTC 2024 - 7.6K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.32.md
- k8s.io/gengo/v2: 51d4e06 → 2b36238 - k8s.io/kube-openapi: 70dd376 → f7e401e ### Removed - bazil.org/fuse: 371fbbd - cloud.google.com/go/storage: v1.0.0 - dmitri.shuralyov.com/gpu/mtl: 666a987 - github.com/BurntSushi/xgb: [27f1227](https://github.com/BurntSushi/xgb/tree/27f1227) - github.com/alecthomas/template: [a0175ee](https://github.com/alecthomas/template/tree/a0175ee)
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Tue Oct 29 20:17:52 UTC 2024 - 121.6K bytes - Viewed (0)