[GraphBolt][CUDA] Add FeatureCache::QueryDirect.

dmlc · Jul 15, 2024 · 3c0ed42 · 3c0ed42
1 parent 4d497d1
commit 3c0ed42
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Showing 3 changed files with 28 additions and 6 deletions.
diff --git a/graphbolt/src/feature_cache.cc b/graphbolt/src/feature_cache.cc
@@ -19,14 +19,18 @@
  */
 #include "./feature_cache.h"
 
+#include "./index_select.h"
+
 namespace graphbolt {
 namespace storage {
 
 constexpr int kIntGrainSize = 64;
 
 FeatureCache::FeatureCache(
-    const std::vector<int64_t>& shape, torch::ScalarType dtype)
-    : tensor_(torch::empty(shape, c10::TensorOptions().dtype(dtype))) {}
+    const std::vector<int64_t>& shape, torch::ScalarType dtype, bool pin_memory)
+    : tensor_(torch::empty(
+          shape, c10::TensorOptions().dtype(dtype).pinned_memory(pin_memory))) {
+}
 
 torch::Tensor FeatureCache::Query(
     torch::Tensor positions, torch::Tensor indices, int64_t size) {
@@ -52,6 +56,10 @@ torch::Tensor FeatureCache::Query(
   return values;
 }
 
+torch::Tensor FeatureCache::QueryDirect(torch::Tensor positions) {
+  return ops::IndexSelect(tensor_, positions);
+}
+
 void FeatureCache::Replace(torch::Tensor positions, torch::Tensor values) {
   const auto row_bytes = values.slice(0, 0, 1).numel() * values.element_size();
   auto values_ptr = reinterpret_cast<std::byte*>(values.data_ptr());
@@ -68,8 +76,9 @@ void FeatureCache::Replace(torch::Tensor positions, torch::Tensor values) {
 }
 
 c10::intrusive_ptr<FeatureCache> FeatureCache::Create(
-    const std::vector<int64_t>& shape, torch::ScalarType dtype) {
-  return c10::make_intrusive<FeatureCache>(shape, dtype);
+    const std::vector<int64_t>& shape, torch::ScalarType dtype,
+    bool pin_memory) {
+  return c10::make_intrusive<FeatureCache>(shape, dtype, pin_memory);
 }
 
 }  // namespace storage

diff --git a/graphbolt/src/feature_cache.h b/graphbolt/src/feature_cache.h
@@ -35,7 +35,9 @@ struct FeatureCache : public torch::CustomClassHolder {
    * @param shape The shape of the cache.
    * @param dtype The dtype of elements stored in the cache.
    */
-  FeatureCache(const std::vector<int64_t>& shape, torch::ScalarType dtype);
+  FeatureCache(
+      const std::vector<int64_t>& shape, torch::ScalarType dtype,
+      bool pin_memory);
 
   /**
    * @brief The cache query function. Allocates an empty tensor `values` with
@@ -57,6 +59,15 @@ struct FeatureCache : public torch::CustomClassHolder {
   torch::Tensor Query(
       torch::Tensor positions, torch::Tensor indices, int64_t size);
 
+  /**
+   * @brief The cache query function. Returns cache_tensor[positions].
+   *
+   * @param positions The positions of the queries items.
+   *
+   * @return The values tensor is returned on the same device as positions.
+   */
+  torch::Tensor QueryDirect(torch::Tensor positions);
+
   /**
    * @brief The cache replace function.
    *
@@ -66,7 +77,8 @@ struct FeatureCache : public torch::CustomClassHolder {
   void Replace(torch::Tensor positions, torch::Tensor values);
 
   static c10::intrusive_ptr<FeatureCache> Create(
-      const std::vector<int64_t>& shape, torch::ScalarType dtype);
+      const std::vector<int64_t>& shape, torch::ScalarType dtype,
+      bool pin_memory);
 
  private:
   torch::Tensor tensor_;

diff --git a/graphbolt/src/python_binding.cc b/graphbolt/src/python_binding.cc
@@ -119,6 +119,7 @@ TORCH_LIBRARY(graphbolt, m) {
       "clock_cache_policy",
       &storage::PartitionedCachePolicy::Create<storage::ClockCachePolicy>);
   m.class_<storage::FeatureCache>("FeatureCache")
+      .def("query_direct", &storage::FeatureCache::QueryDirect)
       .def("query", &storage::FeatureCache::Query)
       .def("replace", &storage::FeatureCache::Replace);
   m.def("feature_cache", &storage::FeatureCache::Create);