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configure.py
no_reply += '\n' if enabled_by_default: question += ' [Y/n]: ' else: question += ' [y/N]: ' var = environ_cp.get(var_name) if var is not None: var_content = var.strip().lower() true_strings = ('1', 't', 'true', 'y', 'yes') false_strings = ('0', 'f', 'false', 'n', 'no') if var_content in true_strings: var = True elif var_content in false_strings: var = False
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
tensorflow/c/c_api.cc
} void TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults* results, int* num_opers, TF_Operation*** opers) { *num_opers = results->return_nodes.size(); *opers = results->return_nodes.data(); } void TF_ImportGraphDefResultsMissingUnusedInputMappings(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
RELEASE.md
* `tf.data` * `tf.data` now has an `autotune_options.initial_parallelism` option to control the initial parallelism setting used by autotune before the data pipeline has started running. The default is 16. A lower value reduces initial memory usage, while a higher value improves startup time. ## Keras * `keras.layers.experimental.DynamicEmbedding` * Added `DynamicEmbedding` Keras layer
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) -
tensorflow/c/c_api_function.cc
// Performs various checks. Status ComputeBodyNodes( const TF_Graph* fn_body, const char* fn_name, int num_opers, const TF_Operation* const* opers, const std::unordered_map<const Node*, std::vector<int>>& input_nodes, std::vector<const Node*>* body_nodes) TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) { if (num_opers == -1) { for (const Node* node : fn_body->graph.op_nodes()) { const auto& iter = input_nodes.find(node);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)