提交 1526a3e4 编写于 作者: Q Qiao Longfei

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into...

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add-async_sparse_param_update_recorder
test=develop
......@@ -31,10 +31,10 @@ namespace paddle {
namespace framework {
namespace ir {
namespace {
void SortHelper(
const std::map<ir::Node *, std::unordered_set<ir::Node *>> &adj_list,
ir::Node *node, std::unordered_set<ir::Node *> *visited,
std::vector<ir::Node *> *ret) {
void SortHelper(const std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>,
ir::NodeComp> &adj_list,
ir::Node *node, std::unordered_set<ir::Node *> *visited,
std::vector<ir::Node *> *ret) {
visited->insert(node);
for (auto adj : adj_list.at(node)) {
......@@ -50,7 +50,8 @@ void SortHelper(
bool HasCircleHelper(
ir::Node *node,
const std::map<ir::Node *, std::unordered_set<ir::Node *>> &adj_list,
const std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
&adj_list,
std::unordered_set<ir::Node *> *visited,
std::unordered_set<ir::Node *> *in_trace,
std::vector<std::vector<ir::Node *>> *circles) {
......@@ -84,7 +85,8 @@ bool HasCircleHelper(
}
bool HasCircleInternal(
const std::map<ir::Node *, std::unordered_set<ir::Node *>> &adj_list,
const std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
&adj_list,
std::vector<std::vector<ir::Node *>> *circles) {
std::unordered_set<ir::Node *> visited;
std::unordered_set<ir::Node *> in_trace;
......@@ -107,8 +109,8 @@ bool FindCircleSubGraph(const Graph &graph,
}
std::vector<ir::Node *> TopologySortOperations(const Graph &graph) {
std::map<ir::Node *, std::unordered_set<ir::Node *>> adj_list =
BuildOperationAdjList(graph);
std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
adj_list = BuildOperationAdjList(graph);
PADDLE_ENFORCE(!HasCircleInternal(adj_list, nullptr));
std::unordered_set<ir::Node *> visited;
std::vector<ir::Node *> ret;
......@@ -117,34 +119,30 @@ std::vector<ir::Node *> TopologySortOperations(const Graph &graph) {
SortHelper(adj_list, adj.first, &visited, &ret);
}
}
return ret;
}
// Build operator inlink edge table.
std::map<ir::Node *, std::unordered_set<ir::Node *>> BuildOperationAdjList(
const Graph &graph) {
std::map<ir::Node *, std::unordered_set<ir::Node *>> adj_list;
std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
BuildOperationAdjList(const Graph &graph) {
std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
adj_list;
for (auto &n : graph.Nodes()) {
if (!n->IsOp()) continue;
if (adj_list.find(n) == adj_list.end()) {
adj_list[n] = std::unordered_set<ir::Node *>();
adj_list[n] = std::set<ir::Node *, ir::NodeComp>();
}
std::vector<ir::Node *> nodes;
for (auto &var : n->inputs) {
for (auto &adj_n : var->inputs) {
PADDLE_ENFORCE(adj_n->NodeType() == ir::Node::Type::kOperation);
VLOG(4) << "adj " << adj_n->Name() << reinterpret_cast<void *>(adj_n)
<< " -> " << n->Name() << reinterpret_cast<void *>(n)
<< " via " << var->Name() << reinterpret_cast<void *>(var);
nodes.push_back(adj_n);
adj_list[n].insert(adj_n);
}
}
std::sort(nodes.begin(), nodes.end(), [](ir::Node *node1, ir::Node *node2) {
return node1->id() > node2->id();
});
adj_list[n].insert(std::make_move_iterator(nodes.begin()),
std::make_move_iterator(nodes.end()));
}
return adj_list;
}
......
......@@ -16,6 +16,7 @@ limitations under the License. */
#include <map>
#include <memory>
#include <set>
#include <vector>
#include "paddle/fluid/framework/ir/graph.h"
......@@ -25,6 +26,13 @@ namespace paddle {
namespace framework {
namespace ir {
// Compare nodes via node id.
struct NodeComp {
bool operator()(ir::Node *const &node1, ir::Node *const &node2) const {
return node1->id() < node2->id();
}
};
// Test if the graph contains circle.
bool HasCircle(const Graph &graph);
......@@ -57,8 +65,8 @@ std::vector<Node *> TopologyVarientSort(const Graph &graph, SortKind sort_kind);
void CleanIndividualNodes(Graph *graph);
// Build an adjacency list of operations for the `graph`.
std::map<ir::Node *, std::unordered_set<ir::Node *>> BuildOperationAdjList(
const Graph &graph);
std::map<ir::Node *, std::set<ir::Node *, ir::NodeComp>, ir::NodeComp>
BuildOperationAdjList(const Graph &graph);
template <typename T>
std::vector<T *> FilterByNodeWrapper(const Graph &graph) {
......
......@@ -214,28 +214,23 @@ TEST(Analyzer_Transformer, fuse_statis) {
}
// Compare result of NativeConfig and AnalysisConfig
// void compare(bool use_mkldnn = false) {
// AnalysisConfig cfg;
// SetConfig(&cfg);
// if (use_mkldnn) {
// cfg.EnableMKLDNN();
// }
//
// std::vector<std::vector<PaddleTensor>> input_slots_all;
// SetInput(&input_slots_all);
// CompareNativeAndAnalysis(
// reinterpret_cast<const PaddlePredictor::Config *>(&cfg),
// input_slots_all);
// }
// TODO(yihuaxu):
// Disable compare and compare_mkldnn temporary, see
// https://github.com/paddlePaddle/Paddle/issues/16316 for details.
// TEST(Analyzer_Transformer, compare) { compare(); }
// #ifdef PADDLE_WITH_MKLDNN
// TEST(Analyzer_Transformer, compare_mkldnn) { compare(true /* use_mkldnn */);
// }
// #endif
void compare(bool use_mkldnn = false) {
AnalysisConfig cfg;
SetConfig(&cfg);
if (use_mkldnn) {
cfg.EnableMKLDNN();
}
std::vector<std::vector<PaddleTensor>> input_slots_all;
SetInput(&input_slots_all);
CompareNativeAndAnalysis(
reinterpret_cast<const PaddlePredictor::Config *>(&cfg), input_slots_all);
}
TEST(Analyzer_Transformer, compare) { compare(); }
#ifdef PADDLE_WITH_MKLDNN
TEST(Analyzer_Transformer, compare_mkldnn) { compare(true /* use_mkldnn */); }
#endif
} // namespace inference
} // namespace paddle
......@@ -29,6 +29,8 @@ pool3d
prelu
quantize
rank_loss
reduce_all
reduce_any
reduce_max
reduce_mean
reduce_min
......
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