cuda_ipc_memory.h

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#ifndef TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_
#define TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_
 
#include <tvm/runtime/base.h>
#include <tvm/runtime/tensor.h>
 
#include <vector>
 
namespace tvm {
namespace runtime {
namespace cuda_ipc {
 
class CUDAIPCMemoryObj : public ffi::Object {
 public:
  int num_workers;
  int worker_id;
  std::vector<void*> remote_data;
 
  // We introduce the barrier helper data below per CUDAIPCMemory object
  // so that they can be used by custom collective operations and allow
  // fine-grained synchronization on each buffer. These barriers have
  // low overhead, and can potentially enable concurrent execution of
  // kernels in future.
  std::vector<void*> barrier_in;
  std::vector<void*> barrier_out;
  int barrier_flag;
 
  static constexpr const bool _type_mutable = true;
  TVM_FFI_DECLARE_OBJECT_INFO("tvm.runtime.disco.cuda_ipc_memory", CUDAIPCMemoryObj, ffi::Object);
};
 
class CUDAIPCMemory : public ffi::ObjectRef {
 public:
  TVM_RUNTIME_DLL static TensorMemoryPool* GlobalMemoryPool();
  TVM_RUNTIME_DLL static CUDAIPCMemory GetIPCMemoryFromDevicePtr(void* ptr);
 
  explicit CUDAIPCMemory(ffi::UnsafeInit tag, ffi::ObjectPtr<CUDAIPCMemoryObj> n)
      : ffi::ObjectRef(tag) {
    data_ = std::move(n);
  }
 
  TVM_FFI_DEFINE_OBJECT_REF_METHODS_NOTNULLABLE(CUDAIPCMemory, ffi::ObjectRef, CUDAIPCMemoryObj);
};
 
}  // namespace cuda_ipc
}  // namespace runtime
}  // namespace tvm
 
#endif  // TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_