diff --git a/paddle/fluid/operators/collective/c_allgather_op_mlu.cc b/paddle/fluid/operators/collective/c_allgather_op_mlu.cc
index 7bd30ecadc8c8..347349ac7a49b 100644
--- a/paddle/fluid/operators/collective/c_allgather_op_mlu.cc
+++ b/paddle/fluid/operators/collective/c_allgather_op_mlu.cc
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/collective/c_allgather_op.h"
+#include "paddle/fluid/operators/mlu/mlu_baseop.h"
 
 #if defined(PADDLE_WITH_CNCL)
 #include "paddle/fluid/platform/collective_helper.h"
@@ -27,15 +28,14 @@ template <typename T>
 class CAllGatherOpMLUKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
+    auto place = ctx.GetPlace();
+    auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
 #if defined(PADDLE_WITH_CNCL)
     auto x = ctx.Input<phi::DenseTensor>("X");
     auto out = ctx.Output<phi::DenseTensor>("Out");
-    cnclDataType_t dtype =
-        platform::ToCNCLDataType(framework::TransToProtoVarType(x->dtype()));
 
     int nranks = ctx.Attr<int>("nranks");
     int rid = ctx.Attr<int>("ring_id");
-    auto place = ctx.GetPlace();
     auto comm = platform::CNCLCommContext::Instance().Get(rid, place);
     PADDLE_ENFORCE_EQ(
         nranks,
@@ -48,19 +48,56 @@ class CAllGatherOpMLUKernel : public framework::OpKernel<T> {
     out->mutable_data<T>(out_dims, place);
 
     uint32_t send_numel = x->numel();
-    void* send_buff = reinterpret_cast<void*>(const_cast<T*>(x->data<T>()));
-    void* recv_buff = reinterpret_cast<void*>(out->data<T>());
+    void* send_buff;
+    void* recv_buff;
+    phi::DenseTensor in_tensor, out_tensor;
+    if (framework::TransToProtoVarType(x->dtype()) ==
+        framework::proto::VarType::INT64) {
+      // cast from int64 to int32 since cncl do not support int64
+      in_tensor.mutable_data<int32_t>(x->dims(), place);
+      out_tensor.mutable_data<int32_t>(out->dims(), place);
+      MLUCnnlTensorDesc x_int64_desc(*x);
+      MLUCnnlTensorDesc x_int32_desc(in_tensor);
+      cnnlCastDataType_t cast_type = GetCastDataType(VT::INT64, VT::INT32);
+      MLUCnnl::Cast(ctx,
+                    cast_type,
+                    x_int64_desc.get(),
+                    GetBasePtr(x),
+                    x_int32_desc.get(),
+                    GetBasePtr(&in_tensor));
+      send_buff = reinterpret_cast<void*>(in_tensor.data<int32_t>());
+      recv_buff = reinterpret_cast<void*>(out_tensor.data<int32_t>());
+    } else {
+      in_tensor.ShareDataWith(*x);
+      out_tensor.ShareDataWith(*out);
+      send_buff = reinterpret_cast<void*>(in_tensor.data<T>());
+      recv_buff = reinterpret_cast<void*>(out_tensor.data<T>());
+    }
 
     mluStream stream = nullptr;
     if (ctx.Attr<bool>("use_calc_stream")) {
-      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
       stream = static_cast<platform::MLUDeviceContext*>(dev_ctx)->stream();
     } else {
       stream = comm->stream();
     }
+    cnclDataType_t dtype = platform::ToCNCLDataType(
+        framework::TransToProtoVarType(in_tensor.dtype()));
 
     PADDLE_ENFORCE_MLU_SUCCESS(cnclAllGather(
         send_buff, recv_buff, send_numel, dtype, comm->comm(), stream));
+    if (framework::TransToProtoVarType(x->dtype()) ==
+        framework::proto::VarType::INT64) {
+      // cast back from int64 out_tensor to out
+      MLUCnnlTensorDesc out_int64_desc(*out);
+      MLUCnnlTensorDesc out_int32_desc(out_tensor);
+      cnnlCastDataType_t cast_type = GetCastDataType(VT::INT32, VT::INT64);
+      MLUCnnl::Cast(ctx,
+                    cast_type,
+                    out_int32_desc.get(),
+                    GetBasePtr(&out_tensor),
+                    out_int64_desc.get(),
+                    GetBasePtr(out));
+    }
 #else
     PADDLE_THROW(platform::errors::PreconditionNotMet(
         "PaddlePaddle should compile with MLU."));
@@ -80,4 +117,5 @@ REGISTER_OP_MLU_KERNEL(c_allgather,
                        ops::CAllGatherOpMLUKernel<int>,
                        ops::CAllGatherOpMLUKernel<int8_t>,
                        ops::CAllGatherOpMLUKernel<int16_t>,
+                       ops::CAllGatherOpMLUKernel<int64_t>,
                        ops::CAllGatherOpMLUKernel<plat::float16>);