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tensorflow/c/c_api.h
// workloads, which is required since the Python implementation depends on the // above mutation methods. This allows us to prevent modifications to nodes in // the graph after the session has been made aware of them. TF_CAPI_EXPORT extern void TF_ExtendSession(TF_Session* session, TF_Status* status); // Returns the serialized CppShapeInferenceResult::HandleData proto for
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ci/official/utilities/rename_and_verify_wheels.sh
# limitations under the License. # ============================================================================== # # Usage: rename_and_verify_wheels.sh # This script is aware of TFCI_ variables, so it doesn't need any arguments. # Puts new wheel through auditwheel to rename and verify it, deletes the old # one, checks the filesize, and then ensures the new wheel is installable. set -euxo pipefail
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 21:16:27 GMT 2024 - 3.4K bytes - Viewed (0) -
SECURITY.md
happening (e.g., rate limits, ACLs, monitors to restart broken servers). ### Model sharing If the multitenant design allows sharing models, make sure that tenants and users are aware of the security risks detailed here and that they are going to be practically running code provided by other users. Currently there are no good ways to detect malicious models/graphs/checkpoints, so the recommended way to
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RELEASE.md
training loop. * **Performance regression on `ParameterServerStrategy`.** This could be significant if you have many PS servers. We are aware of this issue and working on fixes, for now we suggest using the legacy optimizers when using `ParameterServerStrategy`. * **Timeout or performance loss.** We don't anticipate this to happen, but
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