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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
if (TF_GetCode(status) == TF_OK) { block->data.resize(bytes_transferred, 0); // Shrink the data capacity to the actual size used. // NOLINTNEXTLINE: shrink_to_fit() may not shrink the capacity. std::vector<char>(block->data).swap(block->data); downloaded_block = true; block->state = FetchState::FINISHED; } else {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
RELEASE.md
* `tf.keras`: * `Model.fit` major improvements: * You can now use custom training logic with `Model.fit` by overriding `Model.train_step`. * Easily write state-of-the-art training loops without worrying about all of the features `Model.fit` handles for you (distribution strategies, callbacks, data formats, looping logic, etc)
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)