!26057 [GraphKernel] remove head files in graph_kernel_cluster.

Merge pull request !26057 from chenlei_autodiff/remove_code
This commit is contained in:
i-robot 2021-11-16 06:16:28 +00:00 committed by Gitee
commit a263433051
1 changed files with 0 additions and 24 deletions

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@ -30,11 +30,9 @@
#include "utils/ms_context.h"
#include "utils/file_utils.h"
#include "utils/context/graph_kernel_flags.h"
#include "backend/kernel_compiler/common_utils.h"
#include "backend/session/anf_runtime_algorithm.h"
#include "backend/optimizer/graph_kernel/graph_kernel_helper.h"
#include "backend/optimizer/pass/getitem_tuple.h"
#include "backend/optimizer/graph_kernel/update_state_formatter.h"
namespace mindspore::graphkernel {
std::vector<PrimitivePtr> GraphKernelCluster::GetClusterableOpList() {
@ -109,14 +107,6 @@ std::vector<PrimitivePtr> GraphKernelCluster::GetClusterableOpList() {
return clusterable_ops;
}
namespace {
size_t CountGraphKernelInnerNodes(const AnfNodePtr &node) {
AnfNodePtrList node_list;
kernel::GetValidKernelNodes(AnfAlgo::GetCNodeFuncGraphPtr(node), &node_list);
return node_list.size();
}
} // namespace
bool GraphKernelCluster::IsClusterableOp(const AnfNodePtr &node) {
if (AnfAlgo::IsGraphKernel(node)) {
return true;
@ -142,19 +132,12 @@ class Graph {
struct Cluster {
size_t cluster_id_; // node_id of the representative.
size_t cluster_size_{1}; // size of cluster, composite node is considered as one node.
size_t basic_op_cnt_{1}; // basic node count, the inner nodes of composite node are counted.
std::set<size_t> inputs_; // inputs' cluster_id.
size_t seed_{0}; // visited flag of dfs.
size_t max_node_id_; // largest node id of a cluster
Cluster(size_t node_id, const AnfNodePtr &node, const std::unordered_map<AnfNodePtr, size_t> &node_idx_map)
: cluster_id_(node_id), max_node_id_(node_id) {
if (IsPrimitiveCNode(node, prim::kPrimTupleGetItem)) {
basic_op_cnt_ = 0;
} else if (AnfAlgo::IsGraphKernel(node)) {
// the basic_op_cnt_ is used to limit the composite op size
basic_op_cnt_ = CountGraphKernelInnerNodes(node);
}
auto cnode = node->cast<CNodePtr>();
MS_EXCEPTION_IF_NULL(cnode);
for (const auto &inp : cnode->inputs()) {
@ -171,7 +154,6 @@ class Graph {
other_cluster->cluster_id_ = cluster_id_;
max_node_id_ = std::max(other_cluster->max_node_id_, max_node_id_);
cluster_size_ += other_cluster->cluster_size_;
basic_op_cnt_ += other_cluster->basic_op_cnt_;
(void)std::for_each(other_cluster->inputs_.begin(), other_cluster->inputs_.end(),
[this](size_t inp) { (void)this->inputs_.insert(inp); });
other_cluster->Clean();
@ -181,7 +163,6 @@ class Graph {
void Clean() {
inputs_.clear();
cluster_size_ = 0;
basic_op_cnt_ = 0;
max_node_id_ = 0;
}
}; // struct Cluster
@ -232,9 +213,6 @@ class Graph {
// Get cluster size
size_t GetSize(size_t cluster_id) { return clusters_[Find(cluster_id)].cluster_size_; }
// Get cluster's basic op count
size_t GetBasicNodeCount(size_t cluster_id) { return clusters_[Find(cluster_id)].basic_op_cnt_; }
// Get cluster's inputs
const std::set<size_t> &GetInputs(size_t cluster_id) {
cluster_id = Find(cluster_id);
@ -505,7 +483,6 @@ void GraphKernelCluster::Init(const FuncGraphPtr &func_graph) {
}
bool GraphKernelCluster::Run(const FuncGraphPtr &func_graph) {
(void)std::make_shared<ShrinkUpdateState>()->Run(func_graph);
auto mng = func_graph->manager();
MS_EXCEPTION_IF_NULL(mng);
Init(func_graph);
@ -518,7 +495,6 @@ bool GraphKernelCluster::Run(const FuncGraphPtr &func_graph) {
mng->KeepRoots({func_graph});
}
Clean();
(void)std::make_shared<SpreadUpdateState>()->Run(func_graph);
return changed;
}
} // namespace mindspore::graphkernel