Implement AutotuneCache class for Kernel AutoTune (#41169)

paddle/phi/kernels/autotune/cache.h

@@ -51,20 +51,35 @@ struct hash<std::vector<T>> {
 namespace phi {
 namespace autotune {
 
-template <typename AlgorithmT>
-class AlgorithmsCache {
- public:
-  AlgorithmsCache() { hash_.clear(); }
-
-  template <typename... Args>
-  size_t GetKey(Args&&... args) {
+template <typename... Args>
+size_t GetKey(Args&&... args) {
   size_t seed = 0;
   HashCombine(&seed, std::forward<Args>(args)...);
   return seed;
-  }
+}
+
+// Define the cache key of operator
+size_t ConvKey(const std::vector<int64_t>& x_dims,
+               const std::vector<int64_t>& w_dims,
+               const std::vector<int>& strides,
+               const std::vector<int>& paddings,
+               const std::vector<int>& dilations,
+               phi::DataType dtype) {
+  return GetKey(x_dims,
+                w_dims,
+                strides,
+                paddings,
+                dilations,
+                static_cast<int64_t>(dtype));
+}
+
+template <typename AlgorithmT>
+class AlgorithmsCache {
+ public:
+  AlgorithmsCache() : cache_mutex_(new std::mutex()) { hash_.clear(); }
 
   AlgorithmT Get(size_t key) {
-    std::lock_guard<std::mutex> lock(cache_mutex_);
+    std::lock_guard<std::mutex> lock(*cache_mutex_);
     PADDLE_ENFORCE_NE(
         hash_.find(key),
         hash_.end(),
@@ -74,7 +89,7 @@ class AlgorithmsCache {
 
   bool Find(size_t key) {
     bool ret = false;
-    std::lock_guard<std::mutex> lock(cache_mutex_);
+    std::lock_guard<std::mutex> lock(*cache_mutex_);
     if (hash_.find(key) != hash_.end()) {
       cache_hits_++;
       ret = true;
@@ -85,7 +100,7 @@ class AlgorithmsCache {
   }
 
   void Set(size_t key, AlgorithmT algo) {
-    std::lock_guard<std::mutex> lock(cache_mutex_);
+    std::lock_guard<std::mutex> lock(*cache_mutex_);
     hash_[key] = algo;
   }
 
@@ -96,27 +111,52 @@ class AlgorithmsCache {
     return cache_hit_rate;
   }
 
-  // Define the cache key of operator
-  size_t ConvKey(const std::vector<int64_t>& x_dims,
-                 const std::vector<int64_t>& w_dims,
-                 const std::vector<int>& strides,
-                 const std::vector<int>& paddings,
-                 const std::vector<int>& dilations,
-                 phi::DataType dtype) {
-    return GetKey(x_dims,
-                  w_dims,
-                  strides,
-                  paddings,
-                  dilations,
-                  static_cast<int64_t>(dtype));
-  }
+  int64_t Size() { return hash_.size(); }
 
  private:
   std::unordered_map<size_t, AlgorithmT> hash_;
-  std::mutex cache_mutex_;
+  std::shared_ptr<std::mutex> cache_mutex_;
   int64_t cache_hits_ = 0;
   int64_t cache_misses_ = 0;
 };
 
+// AlgorithmsConfigKey -> AlgorithmsID
+using AlgorithmsConfigKeyMap = AlgorithmsCache<int64_t>;
+// AlgorithmsType -> AlgorithmsCache
+using AlgorithmsTypeMap =
+    std::unordered_map<std::string, AlgorithmsConfigKeyMap>;
+
+class AutoTuneCache {
+ public:
+  static AutoTuneCache& Instance() {
+    static AutoTuneCache autotune_cache;
+    return autotune_cache;
+  }
+
+  AlgorithmsConfigKeyMap& RegisterOrGet(const std::string& algo_type) {
+    std::lock_guard<std::mutex> lock(*autotune_cache_mutex_);
+    if (auto_tune_map_.find(algo_type) == auto_tune_map_.end()) {
+      AlgorithmsConfigKeyMap cache;
+      auto_tune_map_[algo_type] = cache;
+    }
+    return auto_tune_map_[algo_type];
+  }
+
+  // The number of total config cached
+  int64_t Size() {
+    int64_t total = 0;
+    for (auto& v : auto_tune_map_) {
+      VLOG(3) << v.first << " " << v.second.Size();
+      total += v.second.Size();
+    }
+    return total;
+  }
+
+ private:
+  AutoTuneCache() : autotune_cache_mutex_(new std::mutex()) {}
+  AlgorithmsTypeMap auto_tune_map_;
+  std::shared_ptr<std::mutex> autotune_cache_mutex_;
+};
+
 }  // namespace autotune
 }  // namespace phi

paddle/phi/kernels/autotune/cache_test.cc

@@ -18,10 +18,12 @@
 #include <functional>
 #include "glog/logging.h"
 
-void Algo() { VLOG(3) << "algo test"; }
+enum ConvAlgos { GEMMKernel = 0, CuDNNKernel_1 = 1, CuDNNKernel_2 = 2 };
 
 TEST(AlgosCache, AlgosCache) {
-  phi::autotune::AlgorithmsCache<std::function<void()>> cache;
+  auto autotune_cache = phi::autotune::AutoTuneCache::Instance();
+  auto& cache = autotune_cache.RegisterOrGet("conv_fw");
+
   std::vector<int64_t> x_shape = {4, 224, 224, 3};
   std::vector<int64_t> w_shape = {32, 3, 3, 3};
   std::vector<int> paddings = {0, 0};
@@ -29,17 +31,23 @@ TEST(AlgosCache, AlgosCache) {
   std::vector<int> dilations = {1, 1};
   phi::DataType dtype = paddle::experimental::CppTypeToDataType<float>::Type();
 
-  auto key =
-      cache.ConvKey(x_shape, w_shape, paddings, strides, dilations, dtype);
+  auto key = phi::autotune::ConvKey(
+      x_shape, w_shape, paddings, strides, dilations, dtype);
   EXPECT_EQ(cache.Find(key), false);
-  cache.Set(key, Algo);
+  cache.Set(key, ConvAlgos::GEMMKernel);
+  EXPECT_EQ(cache.Size(), 1);
   EXPECT_EQ(cache.Find(key), true);
   auto algo = cache.Get(key);
-  algo();
+  EXPECT_EQ(algo, ConvAlgos::GEMMKernel);
 
   x_shape = {4, 128, 128, 3};
-  key = cache.ConvKey(x_shape, w_shape, paddings, strides, dilations, dtype);
+  key = phi::autotune::ConvKey(
+      x_shape, w_shape, paddings, strides, dilations, dtype);
   EXPECT_EQ(cache.Find(key), false);
+  cache.Set(key, ConvAlgos::CuDNNKernel_1);
+  EXPECT_EQ(cache.Size(), 2);
+  EXPECT_EQ(autotune_cache.Size(), 2);
+
   float cache_hit_rate = static_cast<float>(1) / static_cast<float>(3);
   EXPECT_LT(std::abs(cache_hit_rate - cache.CacheHitRate()), 1e-5);
 }