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.bazelrc
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl_threadpool --define=build_with_mkl_opensource=true
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
docs/en/docs/deployment/docker.md
Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 34K bytes - Viewed (0) -
docs/metrics/v3.md
| `syscall_read_total` | `counter` | Total read SysCalls to the kernel. /proc/[pid]/io syscr | `server` | | `syscall_write_total` | `counter` | Total write SysCalls to the kernel. /proc/[pid]/io syscw | `server` |
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