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CODE_OF_CONDUCT.md
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Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 05 18:43:16 GMT 2021 - 5.2K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
CHECK(v2_reader_ != nullptr); CHECK(v2_reader_->status().ok()); // First pass: filters out the entries of the slices. std::unordered_set<string> filtered_keys; BundleEntryProto entry; v2_reader_->Seek(kHeaderEntryKey); for (v2_reader_->Next(); v2_reader_->Valid(); v2_reader_->Next()) { CHECK(entry.ParseFromArray(v2_reader_->value().data(), v2_reader_->value().size()))
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
.github/workflows/sigbuild-docker.yml
# ============================================================================== name: Upload SIG Build docker containers regularly on: workflow_dispatch: schedule: # Run once a week on Sunday at midnight. See http://crontab.guru - cron: '0 0 * * 0' push: paths: - '.github/workflows/sigbuild-docker.yml' - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Oct 23 18:43:43 GMT 2023 - 3.8K bytes - Viewed (0) -
RELEASE.md
to manually call `Model._set_inputs` when using Custom Training Loops(CTLs). * Dynamic shapes are supported for generators by calling the Model on the first batch we "peek" from the generator. This used to happen implicitly in `Model._standardize_user_data`. Long-term, a solution where the `DataAdapter` doesn't need to call the Model is probably preferable.
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