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.github/workflows/scorecards-analysis.yml
schedule: - cron: '44 15 * * 5' push: branches: [ master ] # Declare default permissions as read only. permissions: read-all jobs: analysis: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks name: Scorecards analysis runs-on: ubuntu-latest permissions: # Needed to upload the results to code-scanning dashboard. security-events: write id-token: write
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Dec 21 23:56:23 GMT 2022 - 2.4K bytes - Viewed (0) -
tensorflow/c/env.h
TF_CAPI_EXPORT extern void TF_DefaultThreadOptions(TF_ThreadOptions* options); // Returns a new thread that is running work_func and is identified // (for debugging/performance-analysis) by thread_name. // // The given param (which may be null) is passed to work_func when the thread // starts. In this way, data may be passed from the thread back to the caller. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat Jan 09 02:53:27 GMT 2021 - 9.6K bytes - Viewed (0) -
.bazelrc
ransforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ifrt,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tenso...
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tensorflow/BUILD
"//tensorflow/core/platform:statusor", "//tensorflow/core/platform:stringpiece", "//tensorflow/core/platform:types", "//tensorflow/core/profiler/internal:print_model_analysis", "//tensorflow/core/profiler/lib:traceme", "//tensorflow/core/profiler/rpc/client:profiler_client_impl", "//tensorflow/core/profiler/rpc:profiler_server_impl",
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tensorflow/c/experimental/grappler/grappler.h
// nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to // identify output values when possible and does other aggressive strategies. // This may cause incorrectness in graph analyses, but is useful for simulation // or scheduling.
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) -
RELEASE.md
* Add new enum value `MLIR_BRIDGE_ROLLOUT_SAFE_MODE_ENABLED` to `tf.config.experimental.mlir_bridge_rollout` to enable a \"safe\" mode. This runs the MLIR bridge only when an analysis of the graph only when an analysis of the graph determines that it is safe to run. * Add new enum value `MLIR_BRIDGE_ROLLOUT_SAFE_MODE_FALLBACK_ENABLED' to`tf.config.experimental.mlir_bridge_rollout` to enable a fallback for
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