diff --git a/tf_adapter/kernels/aicore/npu_aicore_ops.cc b/tf_adapter/kernels/aicore/npu_aicore_ops.cc
index 3c6c5adb0bb1a9f2e0f6d8fbb739d4d9ccf443d1..49b126b43370ac4a90b1abc1ab7698309a19c51c 100644
--- a/tf_adapter/kernels/aicore/npu_aicore_ops.cc
+++ b/tf_adapter/kernels/aicore/npu_aicore_ops.cc
@@ -53,6 +53,16 @@ public:
 REGISTER_KERNEL_BUILDER(Name("EmbeddingHashTableImport")
 .Device(tensorflow::DEVICE_CPU), EmbeddingHashTableImportOp);
 
+class EmbeddingHashTableExportOp : public tensorflow::OpKernel {
+public:
+    explicit EmbeddingHashTableExportOp(tensorflow::OpKernelConstruction *context) : OpKernel(context) {}
+    ~EmbeddingHashTableExportOp() override {}
+    void Compute(tensorflow::OpKernelContext *context) override {}
+};
+
+REGISTER_KERNEL_BUILDER(Name("EmbeddingHashTableExport")
+.Device(tensorflow::DEVICE_CPU), EmbeddingHashTableExportOp);
+
 
 class EmbeddingHashTableLookupOrInsertOp : public tensorflow::OpKernel {
 public:
@@ -141,7 +151,7 @@ public:
 };
  
 REGISTER_KERNEL_BUILDER(Name("InitEmbeddingHashTable").Device(tensorflow::DEVICE_CPU), InitEmbeddingHashTableOp);
-
+
 class EmbeddingHashTableApplyAdamWOp : public tensorflow::OpKernel {
 public:
     explicit EmbeddingHashTableApplyAdamWOp(tensorflow::OpKernelConstruction *context)
diff --git a/tf_adapter/ops/aicore/npu_aicore_ops.cc b/tf_adapter/ops/aicore/npu_aicore_ops.cc
index 166956fcbfcad85a0e319981250a071c43517d5d..b74a9680e84f4371ab71200a882057d2ef956a4e 100644
--- a/tf_adapter/ops/aicore/npu_aicore_ops.cc
+++ b/tf_adapter/ops/aicore/npu_aicore_ops.cc
@@ -54,6 +54,26 @@ REGISTER_OP("EmbeddingHashTableImport")
     .Input("values: float")
     .SetShapeFn(tensorflow::shape_inference::NoOutputs);
 
+REGISTER_OP("EmbeddingHashTableExport")
+    .Input("table_handles: int64")
+    .Input("table_sizes: int64")
+    .Input("embedding_dims: int64")
+    .Input("bucket_sizes: int64")
+    .Output("keys: int64")
+    .Output("counters: uint64")
+    .Output("filter_flags: uint8")
+    .Output("values: float")
+    .Attr("export_mode: string = 'all'")
+    .Attr("filter_export_flag: bool = false")
+    .SetIsStateful()
+    .SetShapeFn([](InferenceContext *c) {
+      c->set_output(0, c->UnknownShape());
+      c->set_output(1, c->UnknownShape());
+      c->set_output(2, c->UnknownShape());
+      c->set_output(3, c->UnknownShape());
+      return Status::OK();
+    });
+
 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 301e6491316d196683935853cc650c47483f66e0..caa5739097780cf634c749512e7881b9cfa968f7 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
@@ -612,6 +612,22 @@ def embedding_hash_table_import(table_handles, embedding_dims, bucket_sizes, key
     return result
 
 
+## 提供host侧hashTable导出功能
+#  @param table_handles int64 类型
+#  @param table_sizes int64 类型
+#  @param embedding_dims int64 类型
+#  @param bucket_sizes int64 类型
+#  @param export_mode string 类型
+#  @param filtered_export_flag bool 类型
+def embedding_hash_table_export(table_handles, table_sizes, embedding_dims, bucket_sizes, export_mode='all', 
+                                filter_export_flag=False):
+    """ host embedding feature hash table export. """
+    result = gen_npu_cpu_ops.EmbeddingHashTableExport(
+        table_handles=table_handles, table_sizes=table_sizes, embedding_dims=embedding_dims, bucket_sizes=bucket_sizes,
+        export_mode=export_mode, filter_export_flag=filter_export_flag)
+    return result
+
+
 ## EmbeddingHashTableApplyAdamW AdamW 更新功能
 #  @param table_handle int64 类型
 #  @param keys int64 类型