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Results 1 - 2 of 2 for Predecessors (0.09 sec)
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tensorflow/compiler/jit/extract_outside_compilation_pass.cc
send_node_in_host_graph = n; break; } } if (send_node_in_host_graph) { // This is an "top-level" outside compilation. Clear the graph, and copy // SendFromHost and all its predecessors from `host_graph`. std::vector<Node*> nodes; nodes.reserve(g->num_op_nodes()); for (Node* n : g->op_nodes()) { nodes.push_back(n); } for (Node* n : nodes) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
let summary = "Colocates each Split op with its predecessor"; let constructor = "TFTPU::CreateTPUColocateSplitsPass()"; let description = [{ It is beneficial for performance to assign a `Split` op to the same device as its predecessor. This is because the weight of cut edges is always minimized when the `Split` is with its predecessor. This colocation
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)