Update function runtime to not run function optimization passes for component functions.
Currently importing and exporting between Graph and TF MLIR is not lossless (e.g. extra attributes, extra control dependencies after island coarsening and breakup islands). As these function graphs may be cached, this will result in a different Graph (in terms of how FunctionDef and GraphDef are diff'd), and is an issue where ops use node names (e.g. Send/Recv). PiperOrigin-RevId: 336118990 Change-Id: Ia3c2994d9ebb2fdc13844b61b1e05e07f438d476
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@ -545,7 +545,9 @@ TEST(CAPI, DistributedFunctionNoError) {
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TestDistributedFunctionCancellation(false);
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}
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TEST(CAPI, DistributedFunctionCancelledOnError) {
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// TODO(b/170399182): Update test once an alternative to using the function
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// optimization hook is in place.
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TEST(CAPI, DISABLED_DistributedFunctionCancelledOnError) {
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TestDistributedFunctionCancellation(true);
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}
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@ -730,13 +730,24 @@ Status ProcessFunctionLibraryRuntime::InstantiateMultiDevice(
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function_name, function_key, ret_node_names.size(),
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lib_def->ReachableDefinitions(*fdef), std::move(ret_types));
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// Do not run function/graph optimization passes for component functions,
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// since they have already processed the main function.
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const bool should_run_optimization_passes = !options.is_component_function;
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if (!should_run_optimization_passes) {
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VLOG(1) << "Skipping function/graph optimization passes when instantiating "
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"component function "
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<< function_name;
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}
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// Mapping from a function body node name to the control output name.
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std::unordered_map<string, string> node_name_to_control_ret;
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bool control_rets_updated = false;
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if (should_run_optimization_passes) {
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TF_RETURN_IF_ERROR(FunctionOptimizationPassRegistry::Global().Run(
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*dev_set, options.config_proto, &graph, &data->lib_def_,
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&control_ret_node_names, &control_rets_updated));
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}
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if (control_rets_updated) {
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// Function graph pass may have resulted in different nodes/node names for
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@ -761,17 +772,8 @@ Status ProcessFunctionLibraryRuntime::InstantiateMultiDevice(
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optimization_options.device_set = dev_set.get();
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optimization_options.is_function_graph = true;
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// Do not run graph optimization passes for component functions, since they
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// have already processed the main function.
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bool should_run_graph_passes = !options.is_component_function;
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if (!should_run_graph_passes) {
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VLOG(1) << "Skipping graph optimization passes when instantiating "
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"component function "
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<< function_name;
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}
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DumpGraph("Before running PRE_PLACEMENT passes", graph.get());
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if (should_run_graph_passes) {
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if (should_run_optimization_passes) {
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TF_RETURN_IF_ERROR(OptimizationPassRegistry::Global()->RunGrouping(
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OptimizationPassRegistry::PRE_PLACEMENT, optimization_options));
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}
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@ -786,7 +788,7 @@ Status ProcessFunctionLibraryRuntime::InstantiateMultiDevice(
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TF_RETURN_IF_ERROR(placer.Run());
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DumpGraph("Before running POST_PLACEMENT passes", graph.get());
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if (should_run_graph_passes) {
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if (should_run_optimization_passes) {
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TF_RETURN_IF_ERROR(OptimizationPassRegistry::Global()->RunGrouping(
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OptimizationPassRegistry::POST_PLACEMENT, optimization_options));
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}
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@ -807,7 +809,7 @@ Status ProcessFunctionLibraryRuntime::InstantiateMultiDevice(
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}
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DumpGraph("Before running POST_REWRITE_FOR_EXEC passes", graph.get());
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if (should_run_graph_passes) {
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if (should_run_optimization_passes) {
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TF_RETURN_IF_ERROR(OptimizationPassRegistry::Global()->RunGrouping(
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OptimizationPassRegistry::POST_REWRITE_FOR_EXEC, optimization_options));
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}
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@ -845,7 +847,7 @@ Status ProcessFunctionLibraryRuntime::InstantiateMultiDevice(
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// Normally POST_PARTITIONING passes are run by distributed workers.
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// Distributed workers are currently not supported in this code path, so we
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// run the passes here.
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if (should_run_graph_passes) {
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if (should_run_optimization_passes) {
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TF_RETURN_IF_ERROR(OptimizationPassRegistry::Global()->RunGrouping(
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OptimizationPassRegistry::POST_PARTITIONING, optimization_options));
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}
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