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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49185 This diff adds a fusion feature that will let us use static runtime for *parts* of the graph. This will prove useful in cases where fully eliminating control flow is hard etc. TODO: [x] factor out into separate fusion file [x] add python test case [x] add graph that isn't fully lowered test case [x] add graph that has weird list/tuple outputs test case the loop example looks quite good: ``` graph(%a.1 : Tensor, %b.1 : Tensor, %iters.1 : int): %12 : bool = prim::Constant[value=1]() # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:110:4 %c.2 : Tensor = prim::StaticSubgraph_0(%a.1, %b.1) %c : Tensor = prim::Loop(%iters.1, %12, %c.2) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:110:4 block0(%i : int, %c.12 : Tensor): %c.10 : Tensor = prim::StaticSubgraph_1(%a.1, %c.12, %b.1) -> (%12, %c.10) return (%c) with prim::StaticSubgraph_0 = graph(%0 : Tensor, %4 : Tensor): %5 : int = prim::Constant[value=2]() %6 : Tensor = aten::mul(%4, %5) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:109:12 %2 : int = prim::Constant[value=1]() %c.2 : Tensor = aten::add(%0, %6, %2) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:109:8 return (%c.2) with prim::StaticSubgraph_1 = graph(%1 : Tensor, %7 : Tensor, %8 : Tensor): %9 : int = prim::Constant[value=1]() %c.4 : Tensor = aten::add(%7, %8, %9) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:111:12 %5 : int = prim::Constant[value=2]() %c.7 : Tensor = aten::mul_(%c.4, %5) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:112:8 %2 : int = prim::Constant[value=1]() %c.10 : Tensor = aten::sub_(%c.7, %1, %2) # /data/users/bwasti/fbsource/fbcode/buck-out/dev/gen/caffe2/test/static_runtime#binary,link-tree/test_static_runtime.py:113:8 return (%c.10) ``` (Note: this ignores all push blocking failures!) Test Plan: buck test mode/no-gpu //caffe2/benchmarks/static_runtime:static_runtime_cpptest buck test mode/no-gpu caffe2/test:static_runtime Reviewed By: bertmaher Differential Revision: D25385702 fbshipit-source-id: 2f24af4f11d92a959167facd03fbd24f464a6098
255 lines
8.1 KiB
C++
255 lines
8.1 KiB
C++
#include <torch/csrc/jit/runtime/static/fusion.h>
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#include <ATen/core/interned_strings.h>
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#include <torch/csrc/jit/jit_log.h>
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#include <torch/csrc/jit/passes/dead_code_elimination.h>
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#include <torch/csrc/jit/passes/utils/subgraph_utils.h>
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#include <torch/csrc/jit/runtime/custom_operator.h>
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#include <torch/csrc/jit/runtime/static/impl.h>
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namespace torch {
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namespace jit {
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void createFusionGroups(Block* block, AliasDb* aliasDb);
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void fuseStaticSubgraphs(std::shared_ptr<Graph> graph) {
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PrepareGraphForStaticRuntime(graph);
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auto aliasDb = torch::make_unique<AliasDb>(graph);
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createFusionGroups(graph->block(), aliasDb.get());
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torch::jit::EliminateDeadCode(graph);
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}
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Operation createStaticSubgraphRuntime(const Node* node) {
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auto g = torch::jit::PrepareForStaticRuntime(node->g(attr::Subgraph));
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auto runtime = std::make_shared<torch::jit::StaticRuntime>(g);
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auto num_inputs = runtime->get_inference_module()->input_regs.size();
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return [runtime, num_inputs](Stack* stack) {
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RECORD_FUNCTION("Static Runtime", std::vector<c10::IValue>());
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auto inps = torch::jit::last(stack, num_inputs);
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std::vector<at::Tensor> t_inputs;
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t_inputs.reserve(num_inputs);
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for (const auto& inp : inps) {
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t_inputs.emplace_back(inp.toTensor());
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}
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torch::jit::drop(stack, num_inputs);
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auto outputs = runtime->run(t_inputs);
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for (auto& o : outputs) {
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push_one(*stack, std::move(o));
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}
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return 0;
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};
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}
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RegisterOperators StaticSubgraphOps({torch::jit::Operator(
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prim::StaticSubgraph,
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createStaticSubgraphRuntime,
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AliasAnalysisKind::INTERNAL_SPECIAL_CASE)});
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#define REQ(cond) \
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if (!(cond)) { \
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GRAPH_DEBUG("Failed cond " #cond "\n"); \
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return false; \
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}
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bool canHandle(Node* node) {
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for (Value* input : node->inputs()) {
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// TODO checks
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}
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auto kind = node->kind();
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if (kind.is_prim()) {
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REQ(kind == prim::TupleConstruct || kind == prim::ListConstruct ||
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kind == prim::StaticSubgraph);
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return true;
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}
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const Operator& op = node->getOperator();
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auto analysis = op.aliasAnalysisKind();
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if (AliasAnalysisKind::PURE_FUNCTION == analysis ||
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(AliasAnalysisKind::FROM_SCHEMA == analysis &&
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!node->schema().is_mutable())) {
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return true;
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}
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return false;
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}
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bool canMerge(Node* consumer, Node* producer, AliasDb* aliasDb) {
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// Only fuse within a block
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REQ(consumer->owningBlock() == producer->owningBlock());
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// Symbolic checks
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REQ(canHandle(producer) || producer->kind() == prim::StaticSubgraph);
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TORCH_INTERNAL_ASSERT(
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consumer->kind() == prim::StaticSubgraph || canHandle(consumer));
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// Alias checks
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REQ(aliasDb->couldMoveBeforeTopologically(producer, consumer));
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// Ops that return aliases can only be folded if this is the only use.
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if (producer->kind() == aten::slice || producer->kind() == aten::unsqueeze ||
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producer->kind() == prim::ConstantChunk) {
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for (auto& use : producer->output(0)->uses()) {
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REQ(use.user == consumer);
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}
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}
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return true;
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}
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Node* getOrCreateStaticSubgraph(Node* n, AliasDb* aliasDb) {
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if (n->hasAttribute(attr::Subgraph) && n->kind() == prim::StaticSubgraph) {
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return n;
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}
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GRAPH_UPDATE("Creating a static subgraph::Group node from: ", *n);
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return SubgraphUtils::createSingletonSubgraphAndUpdateAliasing(
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n, prim::StaticSubgraph, *aliasDb);
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}
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value_list sortReverseTopological(ArrayRef<Value*> inputs, Block* b) {
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value_list result;
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for (auto i : inputs) {
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if (i->node()->owningBlock() == b) {
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result.push_back(i);
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}
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}
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// Sort in reverse topological order
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std::sort(result.begin(), result.end(), [&](Value* a, Value* b) {
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return a->node()->isAfter(b->node());
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});
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return result;
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}
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static void debugDumpFusionGroup(const std::string& msg, Node* n) {
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GRAPH_DEBUG(msg, *n);
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if (n->kind() == prim::StaticSubgraph) {
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GRAPH_DEBUG(*n->g(attr::Subgraph));
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}
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}
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c10::optional<Node*> tryMerge(
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Node* fusion_group,
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Node* to_merge,
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AliasDb* aliasDb) {
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if (!canMerge(fusion_group, to_merge, aliasDb)) {
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return c10::nullopt;
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}
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std::vector<Node*> nodes_to_merge = {to_merge};
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if (to_merge->kind() == aten::cat) {
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Node* listconstruct = to_merge->input(0)->node();
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nodes_to_merge.push_back(listconstruct);
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}
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// First, try to move all the nodes we want to fuse next to the fusion
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// group.
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Node* move_point = fusion_group;
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for (auto n : nodes_to_merge) {
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GRAPH_UPDATE("Trying to move node next to fusion group: ", getHeader(n));
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if (!aliasDb->moveBeforeTopologicallyValid(n, move_point)) {
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GRAPH_UPDATE("Failed to move because of AliasDb checks!");
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return c10::nullopt;
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}
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move_point = n;
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}
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// Now all the nodes that we're going to fuse are moved next to the fusion
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// group, so we can safely merge them into the fusion group subgraph.
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fusion_group = getOrCreateStaticSubgraph(fusion_group, aliasDb);
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for (auto n : nodes_to_merge) {
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GRAPH_UPDATE("Merging ", getHeader(n));
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SubgraphUtils::mergeNodeIntoSubgraphAndUpdateAliasing(
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n, fusion_group, *aliasDb);
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}
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return fusion_group;
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}
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std::pair<graph_node_list::iterator, bool> createFusionGroup(
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Node* fusion_node,
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AliasDb* aliasDb) {
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fusion_node = getOrCreateStaticSubgraph(fusion_node, aliasDb);
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GRAPH_DEBUG("Iteratively pull input nodes into the fusion group...\n");
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auto inputs =
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sortReverseTopological(fusion_node->inputs(), fusion_node->owningBlock());
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for (auto input : inputs) {
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debugDumpFusionGroup("Current fusion group: ", fusion_node);
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GRAPH_DEBUG("Trying to merge: ", *input->node());
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if (auto maybe_fusion_group =
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tryMerge(fusion_node, input->node(), aliasDb)) {
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// we successfully merged, so the new group's `inputs` may have
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// changed. So rescan the new group for more merging opportunities.
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return std::make_pair(
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maybe_fusion_group.value()->reverseIterator(), true);
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}
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}
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return std::make_pair(++fusion_node->reverseIterator(), false);
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}
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std::pair<graph_node_list::iterator, bool> scanNode(Node* n, AliasDb* aliasDb) {
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GRAPH_DEBUG("Considering node:", *n);
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if (!canHandle(n)) {
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return std::make_pair(++n->reverseIterator(), false);
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}
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return createFusionGroup(n, aliasDb);
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}
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void createFusionGroups(Block* block, AliasDb* aliasDb) {
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bool any_changed = true;
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while (any_changed) {
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any_changed = false;
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for (auto it = block->nodes().rbegin(); it != block->nodes().rend();) {
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bool changed;
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std::tie(it, changed) = scanNode(*it, aliasDb);
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any_changed |= changed;
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}
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}
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for (Node* n : block->nodes()) {
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for (Block* b : n->blocks()) {
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createFusionGroups(b, aliasDb);
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}
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}
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// Try to merge adjacent fusion groups together. Because we have only merged
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// by looking at graph inputs, without this we would not attempt to merge
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// adjacent fusion groups that don't have a depdency on each other
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std::vector<Node*> initial_fusion_groups;
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for (Node* n : block->nodes()) {
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if (n->kind() == prim::StaticSubgraph) {
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initial_fusion_groups.push_back(n);
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}
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}
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Node* prev_fusion_group =
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initial_fusion_groups.size() ? initial_fusion_groups[0] : nullptr;
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for (size_t i = 1; i < initial_fusion_groups.size(); ++i) {
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// Try merging the just created fusion group into the previous one.
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// If it did not work, then put the previous fusion group into
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// fusion_groups vector - we will not touch it anymore in this loop.
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// If merging suceeded, save the merged group as the "previous" fusion
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// group so that we can try to merge the next one into it.
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Node* fusion_group = initial_fusion_groups[i];
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debugDumpFusionGroup(
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"Trying to merge into the previous fusion group: ", prev_fusion_group);
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if (auto merged_fusion_group =
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tryMerge(prev_fusion_group, fusion_group, aliasDb)) {
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prev_fusion_group = *merged_fusion_group;
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debugDumpFusionGroup(
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"Successfully merged into the previous fusion group: ",
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prev_fusion_group);
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} else {
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GRAPH_DEBUG("Cannot merge into the previous fusion group");
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prev_fusion_group = fusion_group;
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}
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}
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}
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} // namespace jit
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} // namespace torch
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