diff --git a/csrc/fastdeploy/pybind/main.cc b/csrc/fastdeploy/pybind/main.cc
deleted file mode 100644
index 3570aac1b..000000000
--- a/csrc/fastdeploy/pybind/main.cc
+++ /dev/null
@@ -1,127 +0,0 @@
-// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "fastdeploy/pybind/main.h"
-
-namespace fastdeploy {
-
-void BindRuntime(pybind11::module&);
-void BindFDModel(pybind11::module&);
-void BindVision(pybind11::module&);
-
-pybind11::dtype FDDataTypeToNumpyDataType(const FDDataType& fd_dtype) {
-  pybind11::dtype dt;
-  if (fd_dtype == FDDataType::INT32) {
-    dt = pybind11::dtype::of<int32_t>();
-  } else if (fd_dtype == FDDataType::INT64) {
-    dt = pybind11::dtype::of<int64_t>();
-  } else if (fd_dtype == FDDataType::FP32) {
-    dt = pybind11::dtype::of<float>();
-  } else if (fd_dtype == FDDataType::FP64) {
-    dt = pybind11::dtype::of<double>();
-  } else if (fd_dtype == FDDataType::UINT8) {
-    dt = pybind11::dtype::of<uint8_t>();
-  } else {
-    FDASSERT(false, "The function doesn't support data type of %s.",
-                        Str(fd_dtype).c_str());
-  }
-  return dt;
-}
-
-FDDataType NumpyDataTypeToFDDataType(const pybind11::dtype& np_dtype) {
-  if (np_dtype.is(pybind11::dtype::of<int32_t>())) {
-    return FDDataType::INT32;
-  } else if (np_dtype.is(pybind11::dtype::of<int64_t>())) {
-    return FDDataType::INT64;
-  } else if (np_dtype.is(pybind11::dtype::of<float>())) {
-    return FDDataType::FP32;
-  } else if (np_dtype.is(pybind11::dtype::of<double>())) {
-    return FDDataType::FP64;
-  } else if (np_dtype.is(pybind11::dtype::of<uint8_t>())) {
-    return FDDataType::UINT8;
-  }
-  FDASSERT(false,
-           "NumpyDataTypeToFDDataType() only support "
-           "int32/int64/float32/float64 now.");
-  return FDDataType::FP32;
-}
-
-void PyArrayToTensor(pybind11::array& pyarray, FDTensor* tensor,
-                     bool share_buffer) {
-  tensor->dtype = NumpyDataTypeToFDDataType(pyarray.dtype());
-  tensor->shape.insert(tensor->shape.begin(), pyarray.shape(),
-                       pyarray.shape() + pyarray.ndim());
-  if (share_buffer) {
-    tensor->external_data_ptr = pyarray.mutable_data();
-  } else {
-    tensor->data.resize(pyarray.nbytes());
-    memcpy(tensor->data.data(), pyarray.mutable_data(), pyarray.nbytes());
-  }
-}
-
-pybind11::array TensorToPyArray(const FDTensor& tensor) {
-  auto numpy_dtype = FDDataTypeToNumpyDataType(tensor.dtype);
-  auto out = pybind11::array(numpy_dtype, tensor.shape);
-  memcpy(out.mutable_data(), tensor.Data(), tensor.Numel() * FDDataTypeSize(tensor.dtype));
-  return out;
-}
-
-#ifdef ENABLE_VISION
-int NumpyDataTypeToOpenCvType(const pybind11::dtype& np_dtype) {
-  if (np_dtype.is(pybind11::dtype::of<int32_t>())) {
-    return CV_32S;
-  } else if (np_dtype.is(pybind11::dtype::of<int8_t>())) {
-    return CV_8U;
-  } else if (np_dtype.is(pybind11::dtype::of<uint8_t>())) {
-    return CV_8U;
-  } else if (np_dtype.is(pybind11::dtype::of<float>())) {
-    return CV_32F;
-  } else {
-    FDASSERT(
-        false,
-        "NumpyDataTypeToOpenCvType() only support int32/int8/uint8/float32 "
-        "now.");
-  }
-  return CV_8U;
-}
-
-cv::Mat PyArrayToCvMat(pybind11::array& pyarray) {
-  auto cv_type = NumpyDataTypeToOpenCvType(pyarray.dtype());
-  FDASSERT(
-      pyarray.ndim() == 3,
-      "Require rank of array to be 3 with HWC format while converting it to "
-      "cv::Mat.");
-  int channel = *(pyarray.shape() + 2);
-  int height = *(pyarray.shape());
-  int width = *(pyarray.shape() + 1);
-  return cv::Mat(height, width, CV_MAKETYPE(cv_type, channel),
-                 pyarray.mutable_data());
-}
-#endif
-
-PYBIND11_MODULE(fastdeploy_main, m) {
-  m.doc() =
-      "Make programer easier to deploy deeplearning model, save time to save "
-      "the world!";
-
-  BindRuntime(m);
-  BindFDModel(m);
-#ifdef ENABLE_VISION
-  auto vision_module =
-      m.def_submodule("vision", "Vision module of FastDeploy.");
-  BindVision(vision_module);
-#endif
-}
-
-}  // namespace fastdeploy