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@ -54,20 +54,24 @@ static void CreateTensorFromMessageType(framework::Variable *var,
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}
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}
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static void ParallelExecuteBlocks(const std::vector<size_t> ¶llel_blkids,
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framework::Executor *executor,
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framework::ProgramDesc *program,
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framework::Scope *scope) {
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static void ParallelExecuteBlocks(
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const std::vector<size_t> ¶llel_blkids, framework::Executor *executor,
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const std::vector<std::shared_ptr<framework::ExecutorPrepareContext>>
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&prepared,
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framework::ProgramDesc *program, framework::Scope *scope) {
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std::vector<std::future<void>> fs;
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for (size_t idx : parallel_blkids) {
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fs.push_back(framework::Async([&executor, &program, &scope, idx]() {
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int run_block = idx; // thread local
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try {
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executor->Run(*program, scope, run_block, false, false);
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} catch (std::exception &e) {
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LOG(ERROR) << "run sub program error " << e.what();
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}
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}));
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fs.push_back(
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framework::Async([&executor, &prepared, &program, &scope, idx]() {
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int run_block = idx; // thread local
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try {
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// executor->Run(*program, scope, run_block, false, false);
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executor->RunPreparedContext(prepared[run_block].get(), scope,
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false, false);
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} catch (std::exception &e) {
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LOG(ERROR) << "run sub program error " << e.what();
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}
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}));
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}
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for (size_t i = 0; i < fs.size(); ++i) fs[i].wait();
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}
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@ -105,15 +109,18 @@ class ListenAndServOp : public framework::OperatorBase {
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auto *block = Attr<framework::BlockDesc *>(kOptimizeBlock);
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auto *program = block->Program();
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int num_blocks = program->Size();
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size_t num_blocks = program->Size();
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PADDLE_ENFORCE_GE(num_blocks, 2,
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"server program should have at least 2 blocks");
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framework::Executor executor(dev_place);
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std::vector<int> block_list;
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for (int blkid = 1; blkid < num_blocks; ++blkid)
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for (size_t blkid = 1; blkid < num_blocks; ++blkid)
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block_list.push_back(blkid);
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auto prepared = executor.Prepare(*program, block_list);
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prepared.insert(
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prepared.begin(),
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std::shared_ptr<framework::ExecutorPrepareContext>(nullptr));
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// TODO(typhoonzero): change this to a while_op for every cluster-batch.
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bool exit_flag = false;
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@ -161,21 +168,22 @@ class ListenAndServOp : public framework::OperatorBase {
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// The optimize blocks which have the same parent ID would run parallel
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// TODO(Yancey1989): need to use ParallelExecutor for future
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size_t last_parent_blkid = program->Block(1).Parent();
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int32_t last_parent_blkid = program->Block(1).Parent();
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std::vector<size_t> parallel_blkids;
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parallel_blkids.push_back(1);
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double ts = detail::GetTimestamp();
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for (size_t blkid = 2; blkid < num_blocks; ++blkid) {
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if (program->Block(blkid).Parent() != last_parent_blkid) {
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for (size_t idx : parallel_blkids) VLOG(3) << idx;
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ParallelExecuteBlocks(parallel_blkids, &executor, program,
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ParallelExecuteBlocks(parallel_blkids, &executor, prepared, program,
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&recv_scope);
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parallel_blkids.clear();
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last_parent_blkid = program->Block(blkid).Parent();
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}
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parallel_blkids.push_back(blkid);
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}
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ParallelExecuteBlocks(parallel_blkids, &executor, program, &recv_scope);
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ParallelExecuteBlocks(parallel_blkids, &executor, prepared, program,
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&recv_scope);
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VLOG(2) << "run all blocks spent (ms) " << detail::GetTimestamp() - ts;
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