Add more communication kernels

ark/include/ark/model.hpp

@@ -67,12 +67,14 @@ class Model : public ModelGraph {
     /// @p strides should be greater than or equal to the padded shape. If the
     /// @p strides are not provided, they are set to the padded shape. If the
     /// padded shape is not provided, it is set to the @p shape.
+    /// @param rank Rank of the tensor. -1 means the rank of this model.
     /// @param name Name of the tensor.
     /// @return Pointer to a tensor object.
     ///
     Tensor tensor(const Dims &shape, const DataType &data_type,
                   const Dims &strides = {}, const Dims &offsets = {},
-                  const Dims &padded_shape = {}, const std::string &name = "");
+                  const Dims &padded_shape = {}, int rank = -1,
+                  const std::string &name = "");
 
     Tensor refer(Tensor input, const Dims &shape = {}, const Dims &strides = {},
                  const Dims &offsets = {}, const Dims &padded_shape = {},
@@ -196,10 +198,23 @@ class Model : public ModelGraph {
     // operator is completed.
     Tensor recv(Tensor output, int remote_rank, int tag,
                 const std::string &name = "");
-    //
-    Tensor put_packet(Tensor input, Tensor local_tmp_buf, Tensor recv_buf,
-                      int id, int rank, int dst_rank, size_t dst_offset,
-                      int flag, const std::string &name = "");
+    Tensor send_packet(Tensor input, int remote_rank, int tag, int flag,
+                       Tensor output = NullTensor,
+                       const std::string &name = "");
+    Tensor recv_packet(Tensor output, int remote_rank, int tag, int flag,
+                       Tensor scratch = NullTensor,
+                       const std::string &name = "");
+    Tensor recv_reduce_send_packet(
+        Tensor input, const std::vector<int> &remote_ranks, int recv_tag,
+        int output_tag, unsigned int flag, Tensor output = NullTensor,
+        std::vector<Tensor> peer_outputs = {}, Tensor scratch = NullTensor,
+        const std::string &name = "");
+    Tensor recv_reduce_send(Tensor input, const std::vector<int> &remote_ranks,
+                            int recv_tag, int output_tag,
+                            Tensor output = NullTensor,
+                            std::vector<Tensor> peer_outputs = {},
+                            Tensor scratch = NullTensor,
+                            const std::string &name = "");
     // Performs an all-reduce operator across all ranks, aggregating the input
     // tensors. Takes the `input` tensor, the current GPU's rank, and the
     // total number of ranks `rank_num`.
@@ -220,7 +235,8 @@ class Model : public ModelGraph {
                 Tensor output = NullTensor, const std::string &name = "");
 
     // sync across multi devices
-    Tensor device_sync(Tensor input, int npeers, const std::string &name = "");
+    Tensor device_sync(Tensor input, int rank, int rank_num,
+                       const std::string &name = "");
 
     // local reduce scatter
     Tensor local_reduce_scatter(Tensor input, int gpu_id, int ngpus_per_node,
@@ -238,18 +254,7 @@ class Model : public ModelGraph {
 
     Tensor local_all_reduce(Tensor input, int gpu_id, int gpu_num,
                             const std::string &name = "");
-    Tensor local_all_reduce_packet(Tensor input, int gpu_id, int gpu_num,
-                                   const std::string &name = "");
 
-    Tensor reduce_and_write_packet(Tensor input, Tensor scratch, Tensor output,
-                                   const std::vector<Tensor> &remote_peer_bufs,
-                                   int id, int rank, int npeers,
-                                   size_t elems_per_rank, size_t scratch_offset,
-                                   size_t remote_dst_offset, int flag,
-                                   const std::string &name = "");
-    Tensor get_packet(Tensor input, Tensor output, size_t src_offset,
-                      size_t dst_offset, size_t npackets, int flag,
-                      const std::string &name = "");
 };
 
 }  // namespace ark