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tensorflow/c/c_api_internal.h
// The keys of this map are all the active sessions using this graph. Each // value records whether the graph has been mutated since the corresponding // session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a // description of the mutation suitable for returning to the user. // // Sessions are added to this map in TF_NewSession, and removed in
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tensorflow/c/c_api.cc
const Graph& graph = session->graph->graph; const string& mutation_warning = session->graph->sessions[session]; if (!mutation_warning.empty()) { // TODO(b/74949947): turn this back into an error status LOG(WARNING) << mutation_warning; session->graph->sessions[session].clear(); } const auto num_nodes = graph.num_node_ids();
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RELEASE.md
available, along with experimental support for multi worker and Cloud TPUs. Check out the [guide](https://www.tensorflow.org/beta/guide/distribute_strategy) for more details. * Functions, not Sessions. The traditional declarative programming model of building a graph and executing it via a `tf.Session` is discouraged, and replaced with by writing regular Python functions. Using the `tf.function`
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tensorflow/c/c_api.h
// -------------------------------------------------------------------------- // The new graph construction API, still under development. // Represents a computation graph. Graphs may be shared between sessions. // Graphs are thread-safe when used as directed below. typedef struct TF_Graph TF_Graph; // Return a new graph object. TF_CAPI_EXPORT extern TF_Graph* TF_NewGraph(void);
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