diff --git a/tf_adapter/kernels/aicore/npu_aicore_ops.cc b/tf_adapter/kernels/aicore/npu_aicore_ops.cc
index 83a027b6ea2e367f2d36cf86c431216bc6bcc8e5..74ec03259ba2ba957501718bb3637683114adbf5 100644
--- a/tf_adapter/kernels/aicore/npu_aicore_ops.cc
+++ b/tf_adapter/kernels/aicore/npu_aicore_ops.cc
@@ -43,6 +43,15 @@ class FastGeluOp : public tensorflow::OpKernel {
   }
 };
 
+class EmbeddingHashTableImportOp : public tensorflow::OpKernel {
+public:
+    explicit EmbeddingHashTableImportOp(tensorflow::OpKernelConstruction *context) : OpKernel(context) {}
+    ~EmbeddingHashTableImportOp() override {}
+    void Compute(tensorflow::OpKernelContext *context) override {}
+};
+
+REGISTER_KERNEL_BUILDER(Name("EmbeddingHashTableImport").Device(tensorflow::DEVICE_CPU), EmbeddingHashTableImportOp);
+
 REGISTER_KERNEL_BUILDER(
     Name("FastGelu")
 .
diff --git a/tf_adapter/ops/aicore/npu_aicore_ops.cc b/tf_adapter/ops/aicore/npu_aicore_ops.cc
index fbe6035bdb24c97067cf9517a9dd736a31070c3d..817370440832f1c217809a1aa9fe636203c91e77 100644
--- a/tf_adapter/ops/aicore/npu_aicore_ops.cc
+++ b/tf_adapter/ops/aicore/npu_aicore_ops.cc
@@ -44,6 +44,16 @@ REGISTER_OP("FastGeluGrad")
     .Attr("T: realnumbertype")
     .SetShapeFn(tensorflow::shape_inference::MergeBothInputsShapeFn);
 
+REGISTER_OP("EmbeddingHashTableImport")
+    .Input("table_handles: int64")
+    .Input("embedding_dims: int64")
+    .Input("bucket_sizes: int64")
+    .Input("keys: int64")
+    .Input("counters: uint64")
+    .Input("filter_flags: uint8")
+    .Input("values: float")
+    .SetShapeFn(tensorflow::shape_inference::NoOutputs);
+
 REGISTER_OP("DynamicGruV2")
     .Input("x: T")
     .Input("weight_input: T")
diff --git a/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py b/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
index a29a93c5e7a14100c15157a04c166594cd01763d..adc196e91dd17f9ce82d9a2624c711048b756090 100644
--- a/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
+++ b/tf_adapter/python/npu_bridge/npu_cpu/npu_cpu_ops.py
@@ -557,3 +557,19 @@ def embedding_feature_mapping_import(file_path, table_ids, table_sizes, table_na
         file_path=file_path, table_ids=table_ids, table_sizes=table_sizes,
         table_names=table_names, global_step=global_step, embedding_dims=embedding_dims, num=num)
     return result
+
+
+## 提供host侧hashmap导入功能
+#  @param table_handles int64 类型
+#  @param embedding_dims int64 类型
+#  @param bucket_sizes int64 类型
+#  @param keys int64 类型
+#  @param counters uint64 类型
+#  @param filter_flags uint8 类型
+#  @param values float 类型
+def embedding_hash_table_import(table_handles, embedding_dims, bucket_sizes, keys, counters, filter_flags, values):
+    """ host embedding feature hash table import. """
+    result = gen_npu_cpu_ops.EmbeddingHashTableImport(
+        table_handles=table_handles, embedding_dims=embedding_dims, bucket_sizes=bucket_sizes,
+        keys=keys, counters=counters, filter_flags=filter_flags, values=values)
+    return result
\ No newline at end of file