issue/810 feat: allow graph tensor to resume to allocator's tracking

include/infinicore/graph/graph.hpp

@@ -12,6 +12,7 @@ class GraphManager;
 class GraphTensor : public Tensor {
 public:
     GraphTensor(const Tensor &);
+    void resume() const;
 };
 
 class GraphOperator {

include/infinicore/tensor.hpp

@@ -90,6 +90,8 @@ protected:
     Tensor(std::shared_ptr<TensorImpl> impl) : impl_(std::move(impl)) {}
     std::shared_ptr<TensorImpl> impl_;
     friend class TensorImpl;
+
+    void resume_from_blob_() const;
 };
 
 class TensorImpl : public std::enable_shared_from_this<TensorImpl> {

src/infinicore/context/allocators/pinnable_block_allocator.cc

@@ -125,6 +125,16 @@ void PinnableBlockAllocator::deallocate(std::byte *ptr) {
     }
 }
 
+size_t PinnableBlockAllocator::mark_in_use_(void *ptr, bool in_use) {
+    auto it = all_blocks_.find(reinterpret_cast<void *>(ptr));
+    if (it == all_blocks_.end()) {
+        throw std::runtime_error("Pointer not allocated by this allocator");
+    }
+    std::lock_guard<std::mutex> lock(mutex_);
+    it->second->in_use = in_use;
+    return it->second->size;
+}
+
 // ------------------- trim -------------------
 void PinnableBlockAllocator::trim() {
     std::lock_guard<std::mutex> lock(mutex_);

src/infinicore/context/allocators/pinnable_block_allocator.hpp

@@ -32,6 +32,10 @@ public:
     // Switch pinned/graph mode
     void set_pin_mode(bool pinned) { pinned_mode_ = pinned; }
 
+    // internal use only, force set in_use flag for a mem block
+    // return the size of the block
+    size_t mark_in_use_(void *ptr, bool in_use);
+
     // trim cached blocks back to GPU (not pinned)
     void trim();
 

src/infinicore/context/context_impl.cc

 #include "context_impl.hpp"
+#include "internal.hpp"
 
 #include "../utils.hpp"
 
@@ -194,6 +195,12 @@ void addGraphOperator(std::shared_ptr<graph::GraphOperator> op) {
 std::shared_ptr<graph::Graph> stopGraphRecording() {
     return ContextImpl::singleton().getCurrentRuntime()->stopGraphRecording();
 }
+
+std::shared_ptr<Memory> reinstantiateBlob(std::shared_ptr<Memory> blob) {
+    setDevice(blob->device());
+    return ContextImpl::singleton().getCurrentRuntime()->reinstantiateBlob(blob);
+}
+
 } // namespace context
 
 } // namespace infinicore

src/infinicore/context/internal.hpp

+#pragma once
+
+#include "infinicore/device.hpp"
+#include "infinicore/memory.hpp"
+
+#include "infinicore/graph/graph.hpp"
+
+namespace infinicore::context {
+std::shared_ptr<Memory> reinstantiateBlob(std::shared_ptr<Memory> blob);
+};

src/infinicore/context/runtime/runtime.cc

@@ -77,6 +77,15 @@ std::shared_ptr<Memory> Runtime::allocatePinnedHostMemory(size_t size) {
         true);
 }
 
+std::shared_ptr<Memory> Runtime::reinstantiateBlob(std::shared_ptr<Memory> blob) {
+    device_memory_allocator_.get()->mark_in_use_(blob->data(), true);
+    return std::make_shared<Memory>(
+        blob->data(), blob->size(), device_,
+        [alloc = device_memory_allocator_.get()](std::byte *p) {
+            alloc->deallocate(p);
+        });
+}
+
 void Runtime::memcpyH2D(void *dst, const void *src, size_t size, bool async) {
     if (async) {
         INFINICORE_CHECK_ERROR(infinirtMemcpyAsync(dst, src, size, INFINIRT_MEMCPY_H2D, stream_));

src/infinicore/context/runtime/runtime.hpp

@@ -37,6 +37,7 @@ public:
 
     std::shared_ptr<Memory> allocateMemory(size_t size);
     std::shared_ptr<Memory> allocatePinnedHostMemory(size_t size);
+    std::shared_ptr<Memory> reinstantiateBlob(std::shared_ptr<Memory> blob);
 
     void memcpyH2D(void *dst, const void *src, size_t size, bool async = true);
     void memcpyD2H(void *dst, const void *src, size_t size);

src/infinicore/graph/graph.cc

@@ -11,6 +11,10 @@ namespace infinicore::graph {
 GraphTensor::GraphTensor(const Tensor &tensor) : Tensor(tensor->to_blob()) {
 }
 
+void GraphTensor::resume() const {
+    resume_from_blob_();
+}
+
 /* =========================
  * GraphOperator
  * ========================= */

src/infinicore/tensor/tensor.cc

 #include "infinicore/tensor.hpp"
+#include "../context/internal.hpp"
 #include "../utils.hpp"
 #include "infinicore/context/context.hpp"
 #include "infinicore/dtype.hpp"
@@ -64,6 +65,10 @@ Tensor::operator bool() const {
     return impl_ != nullptr;
 }
 
+void Tensor::resume_from_blob_() const {
+    context::reinstantiateBlob(impl_->data_.memory);
+}
+
 TensorMetaData::TensorMetaData(const Shape &_shape, const Strides &_strides, const DataType &_dtype)
     : shape(_shape), strides(_strides), dtype(_dtype) {
     INFINICORE_CHECK_ERROR(infiniopCreateTensorDescriptor(&desc, shape.size(), shape.data(), strides.data(), (infiniDtype_t)dtype));