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ci/official/envs/linux_arm64_onednn
# limitations under the License. # ============================================================================== source ci/official/envs/linux_arm64
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 06 19:26:00 GMT 2024 - 810 bytes - Viewed (0) -
.github/workflows/trusted_partners.js
let assignees = []; const title = context.payload.pull_request && context.payload.pull_request.title; const lowercased_title = (title || '').toLowerCase(); const onednn_assignees = ['penpornk']; if (lowercased_title.includes('onednn')) assignees = onednn_assignees; const intel_windows_assignees = ['nitins17', 'learning-to-play']; if (lowercased_title.includes('intel') &&
JavaScript - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Feb 07 13:52:04 GMT 2023 - 4.5K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
TF_TriState arithmetic_optimization; TF_TriState debug_stripper; TF_TriState constant_folding; TF_TriState shape_optimization; TF_TriState auto_mixed_precision; TF_TriState auto_mixed_precision_onednn_bfloat16; TF_TriState auto_mixed_precision_mkl; TF_TriState pin_to_host_optimization; TF_TriState layout_optimizer; TF_TriState remapping; TF_TriState loop_optimization;
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
CONFIG_TOGGLE(debug_stripper); CONFIG_TOGGLE(constant_folding); CONFIG_TOGGLE(shape_optimization); CONFIG_TOGGLE(auto_mixed_precision); CONFIG_TOGGLE(auto_mixed_precision_onednn_bfloat16); CONFIG_TOGGLE(auto_mixed_precision_mkl); CONFIG_TOGGLE(pin_to_host_optimization); CONFIG_TOGGLE(layout_optimizer); CONFIG_TOGGLE(remapping); CONFIG_TOGGLE(loop_optimization);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
.bazelrc
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 build:mkl_threadpool -c opt # Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
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RELEASE.md
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
configure.py
'adding "--config=<>" to your build command. See .bazelrc for more ' 'details.') config_info_line('mkl', 'Build with MKL support.') config_info_line( 'mkl_aarch64', 'Build with oneDNN and Compute Library for the Arm Architecture (ACL).') config_info_line('monolithic', 'Config for mostly static monolithic build.') config_info_line('numa', 'Build with NUMA support.') config_info_line(
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/BUILD
"@mkl_dnn_acl_compatible//:__subpackages__", "@ml_dtypes//:__subpackages__", "@nccl_archive//:__subpackages__", "@nvtx_archive//:__subpackages__", "@onednn//:__subpackages__", "@org_sqlite//:__subpackages__", "@platforms//:__subpackages__", "@snappy//:__subpackages__", "@upb//:__subpackages__", "@zlib//:__subpackages__",
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src/main/java/org/codelibs/fess/app/service/JobLogService.java
cb.query().addOrderBy_EndTime_Desc(); // search } public void deleteBefore(final int days) { final long oneday = 24 * 60 * 60 * 1000L; final long targetTime = ComponentUtil.getSystemHelper().getCurrentTimeAsLong() - days * oneday; jobLogBhv.queryDelete(cb -> { cb.query().setEndTime_LessThan(targetTime); }); }
Java - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Thu Feb 22 01:37:57 GMT 2024 - 4.2K bytes - Viewed (0) -
docs/tr/docs/benchmarks.md
* Eğer Starlette'i karşılaştırıyorsanız, Sanic, Flask, Django, vb. frameworkler (veya mikroframeworkler) ile karşılaştırın. * **FastAPI**: * Starlette'in Uvicorn'u kullandığı ve ondan daha hızlı olamayacağı gibi, **FastAPI**'da Starlette'i kullanır, dolayısıyla ondan daha hızlı olamaz.
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