diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/DataType.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/DataType.java
new file mode 100644
index 0000000000..69ce2c9725
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/DataType.java
@@ -0,0 +1,21 @@
+package cn.huawei.mindspore;
+
+public class DataType {
+    public static final int kNumberTypeBool = 30;
+    public static final int kNumberTypeInt = 31;
+    public static final int kNumberTypeInt8 = 32;
+    public static final int kNumberTypeInt16 = 33;
+    public static final int kNumberTypeInt32 = 34;
+    public static final int kNumberTypeInt64 = 35;
+    public static final int kNumberTypeUInt = 36;
+    public static final int kNumberTypeUInt8 = 37;
+    public static final int kNumberTypeUInt16 = 38;
+    public static final int kNumberTypeUint32 = 39;
+    public static final int kNumberTypeUInt64 = 40;
+    public static final int kNumberTypeFloat = 41;
+    public static final int kNumberTypeFloat16 = 42;
+    public static final int kNumberTypeFloat32 = 43;
+    public static final int kNumberTypeFloat64 = 44;
+
+    public static native int elementSize(int elementType);
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/LiteSession.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/LiteSession.java
new file mode 100644
index 0000000000..02985aa0ea
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/LiteSession.java
@@ -0,0 +1,114 @@
+package cn.huawei.mindspore;
+
+import cn.huawei.mindspore.context.Context;
+
+import java.io.File;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+public class LiteSession {
+    static {
+        System.loadLibrary("mindspore-lite-jni");
+    }
+
+    private long sessionPtr;
+
+    LiteSession() {
+        this.sessionPtr = 0;
+    }
+
+    public boolean init(Context context) {
+        this.sessionPtr = createSession(context.getContextPtr());
+        return this.sessionPtr != 0;
+    }
+
+    public long getSessionPtr() {
+        return sessionPtr;
+    }
+
+    public void bindThread(boolean if_bind) {
+        this.bindThread(this.sessionPtr, if_bind);
+    }
+
+    public boolean compileGraph(Model model) {
+        return this.compileGraph(this.sessionPtr, model.getModelPtr());
+    }
+
+    public boolean runGraph() {
+        return this.runGraph(this.sessionPtr);
+    }
+
+    public List<MSTensor> getInputs() {
+        List<Long> ret = this.getInputs(this.sessionPtr);
+        ArrayList<MSTensor> tensors = new ArrayList<MSTensor>();
+        for (Long ms_tensor_addr : ret) {
+            MSTensor msTensor = new MSTensor(ms_tensor_addr);
+            tensors.add(msTensor);
+        }
+        return tensors;
+    }
+
+    public List<MSTensor> getInputsByName(String nodeName) {
+        List<Long> ret = this.getInputsByName(this.sessionPtr, nodeName);
+        ArrayList<MSTensor> tensors = new ArrayList<>();
+        for (Long msTensorAddr : ret) {
+            MSTensor msTensor = new MSTensor(msTensorAddr);
+            tensors.add(msTensor);
+        }
+        return tensors;
+    }
+
+    public Map<String, List<MSTensor>> getOutputs() {
+        Map<String, List<Long>> ret = this.getOutputs(this.sessionPtr);
+        Map<String, List<MSTensor>> tensorMap = new HashMap<>();
+        Set<Map.Entry<String, List<Long>>> entrySet = ret.entrySet();
+        for (Map.Entry<String, List<Long>> entry : entrySet) {
+            String name = entry.getKey();
+            List<Long> msTensorAddrs = entry.getValue();
+            ArrayList<MSTensor> msTensors = new ArrayList<>();
+            for (Long msTensorAddr : msTensorAddrs) {
+                MSTensor msTensor = new MSTensor(msTensorAddr);
+                msTensors.add(msTensor);
+            }
+            tensorMap.put(name, msTensors);
+        }
+        return tensorMap;
+    }
+
+    public List<MSTensor> getOutputsByName(String nodeName) {
+        List<Long> ret = this.getOutputsByName(this.sessionPtr, nodeName);
+        ArrayList<MSTensor> tensors = new ArrayList<>();
+        for (Long msTensorAddr : ret) {
+            MSTensor msTensor = new MSTensor(msTensorAddr);
+            tensors.add(msTensor);
+        }
+        return tensors;
+    }
+
+    public void free() {
+        this.free(this.sessionPtr);
+        this.sessionPtr = 0;
+    }
+
+    private native long createSession(long contextPtr);
+
+    private native boolean compileGraph(long sessionPtr, long modelPtr);
+
+    private native void bindThread(long sessionPtr, boolean if_bind);
+
+    private native boolean runGraph(long sessionPtr);
+
+    private native List<Long> getInputs(long sessionPtr);
+
+    private native List<Long> getInputsByName(long sessionPtr, String nodeName);
+
+    private native Map<String, List<Long>> getOutputs(long sessionPtr);
+
+    private native List<Long> getOutputsByName(long sessionPtr, String nodeName);
+
+    private native void free(long sessionPtr);
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/MSTensor.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/MSTensor.java
new file mode 100644
index 0000000000..e4f7ec44c2
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/MSTensor.java
@@ -0,0 +1,75 @@
+package cn.huawei.mindspore;
+
+public class MSTensor {
+    private long tensorPtr;
+
+    public MSTensor() {
+        this.tensorPtr = 0;
+    }
+
+    public MSTensor(long tensorPtr) {
+        this.tensorPtr = tensorPtr;
+    }
+
+    public boolean init (int dataType, int[] shape) {
+        this.tensorPtr = createMSTensor(dataType, shape, shape.length);
+        return this.tensorPtr != 0;
+    }
+
+    public int[] getShape() {
+        return this.getShape(this.tensorPtr);
+    }
+
+    public void setShape(int[] shape) {
+        this.setShape(this.tensorPtr, shape, shape.length);
+    }
+
+    public int getDataType() {
+        return this.getDataType(this.tensorPtr);
+    }
+
+    public void setDataType(int dataType) {
+        this.setDataType(this.tensorPtr, dataType);
+    }
+
+    public byte[] getData() {
+        return this.getData(this.tensorPtr);
+    }
+
+    public void setData(byte[] data) {
+        this.setData(this.tensorPtr, data, data.length);
+    }
+
+    public long size() {
+        return this.size(this.tensorPtr);
+    }
+
+    public int elementsNum() {
+        return this.elementsNum(this.tensorPtr);
+    }
+
+    public void free() {
+        this.free(this.tensorPtr);
+        this.tensorPtr = 0;
+    }
+
+    private native long createMSTensor(int dataType, int[] shape, int shapeLen);
+
+    private native int[] getShape(long tensorPtr);
+
+    private native boolean setShape(long tensorPtr, int[] shape, int shapeLen);
+
+    private native int getDataType(long tensorPtr);
+
+    private native boolean setDataType(long tensorPtr, int dataType);
+
+    private native byte[] getData(long tensorPtr);
+
+    private native boolean setData(long tensorPtr, byte[] data, long dataLen);
+
+    private native long size(long tensorPtr);
+
+    private native int elementsNum(long tensorPtr);
+
+    private native void free(long tensorPtr);
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/Model.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/Model.java
new file mode 100644
index 0000000000..e2c8d701d9
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/Model.java
@@ -0,0 +1,76 @@
+package cn.huawei.mindspore;
+
+import android.content.Context;
+import android.content.res.AssetFileDescriptor;
+import android.util.Log;
+
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.nio.MappedByteBuffer;
+import java.nio.channels.FileChannel;
+
+public class Model {
+    static {
+        System.loadLibrary("mindspore-lite-jni");
+    }
+
+    private long modelPtr;
+
+    public Model() {
+        this.modelPtr = 0;
+    }
+
+    public long getModelPtr() {
+        return modelPtr;
+    }
+
+    public void setModelPtr(long modelPtr) {
+        this.modelPtr = modelPtr;
+    }
+
+    public boolean loadModel(Context context, String modelName) {
+        FileInputStream fis = null;
+        AssetFileDescriptor fileDescriptor = null;
+        boolean ret = false;
+        try {
+            fileDescriptor = context.getAssets().openFd(modelName);
+            fis = new FileInputStream(fileDescriptor.getFileDescriptor());
+            FileChannel fileChannel = fis.getChannel();
+            long startOffset = fileDescriptor.getStartOffset();
+            long declaredLen = fileDescriptor.getDeclaredLength();
+            MappedByteBuffer buffer = fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLen);
+            this.modelPtr = loadModel(buffer);
+            ret = this.modelPtr != 0;
+        } catch (IOException e) {
+            this.modelPtr = 0;
+            Log.e("MS_LITE", "Load model failed: " + e.getMessage());
+            ret = false;
+        } finally {
+            if (null != fis) {
+                try {
+                    fis.close();
+                } catch (IOException e) {
+                    Log.e("MS_LITE", "Close file failed: " + e.getMessage());
+                }
+            }
+            if (null != fileDescriptor) {
+                try {
+                    fis.close();
+                } catch (IOException e) {
+                    Log.e("MS_LITE", "Close fileDescriptor failed: " + e.getMessage());
+                }
+            }
+        }
+        return ret;
+    }
+
+    public void free() {
+        this.free(this.modelPtr);
+        this.modelPtr = 0;
+    }
+
+    private native long loadModel(MappedByteBuffer buffer);
+
+    private native void free(long modelPtr);
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/context/Context.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/Context.java
new file mode 100644
index 0000000000..125fcc581f
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/Context.java
@@ -0,0 +1,43 @@
+package cn.huawei.mindspore.context;
+
+public class Context {
+    private long contextPtr;
+
+    public Context() {
+        this.contextPtr = 0;
+    }
+
+    public long getContextPtr() {
+        return contextPtr;
+    }
+
+    public void setContextPtr(long contextPtr) {
+        this.contextPtr = contextPtr;
+    }
+
+    public boolean init(int deviceType, int threadNum, int cpuBindMode) {
+        this.contextPtr = createContext(deviceType, threadNum, cpuBindMode);
+        return this.contextPtr != 0;
+    }
+
+    public boolean init(int deviceType, int threadNum) {
+        return init(deviceType, threadNum, CpuBindMode.MID_CPU);
+    }
+
+    public boolean init(int deviceType) {
+        return init(deviceType, 2);
+    }
+
+    public boolean init() {
+        return init(DeviceType.DT_CPU);
+    }
+
+    public void free() {
+        this.free(this.contextPtr);
+        this.contextPtr = 0;
+    }
+
+    private native long createContext(int deviceType, int threadNum, int cpuBindMode);
+
+    private native void free(long contextPtr);
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/context/CpuBindMode.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/CpuBindMode.java
new file mode 100644
index 0000000000..3c6e7db52e
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/CpuBindMode.java
@@ -0,0 +1,7 @@
+package cn.huawei.mindspore.context;
+
+public class CpuBindMode {
+    public static final int MID_CPU = -1;
+    public static final int HIGHER_CPU = 1;
+    public static final int NO_BIND = 0;
+}
diff --git a/mindspore/lite/java/src/java/cn/huawei/mindspore/context/DeviceType.java b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/DeviceType.java
new file mode 100644
index 0000000000..13367f5fcc
--- /dev/null
+++ b/mindspore/lite/java/src/java/cn/huawei/mindspore/context/DeviceType.java
@@ -0,0 +1,7 @@
+package cn.huawei.mindspore.context;
+
+public class DeviceType {
+    public static final int DT_CPU = 0;
+    public static final int DT_GPU = 1;
+    public static final int DT_NPU = 2;
+}
diff --git a/mindspore/lite/java/src/native/CMakeLists.txt b/mindspore/lite/java/src/native/CMakeLists.txt
new file mode 100644
index 0000000000..fefdde64b9
--- /dev/null
+++ b/mindspore/lite/java/src/native/CMakeLists.txt
@@ -0,0 +1,18 @@
+cmake_minimum_required(VERSION 3.4.1)
+
+include_directories(${CMAKE_CURRENT_SOURCE_DIR}/include)
+include_directories(${CMAKE_CURRENT_SOURCE_DIR}/src)
+link_directories(${CMAKE_CURRENT_SOURCE_DIR}/libs/${ANDROID_ABI})
+
+add_library(mindspore-lite-jni SHARED
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/common/ms_log.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/common/jni_utils.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/runtime/model.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/runtime/context.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/runtime/ms_tensor.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/runtime/lite_session.cpp
+        )
+
+find_library(log-lib log)
+
+target_link_libraries(mindspore-lite-jni mindspore-lite ${log-lib} )
\ No newline at end of file
diff --git a/mindspore/lite/java/src/native/common/jni_utils.cpp b/mindspore/lite/java/src/native/common/jni_utils.cpp
new file mode 100644
index 0000000000..3320ea7b17
--- /dev/null
+++ b/mindspore/lite/java/src/native/common/jni_utils.cpp
@@ -0,0 +1,37 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 "common/jni_utils.h"
+#include <cstring>
+
+char *JstringToChar(JNIEnv *env, jstring jstr) {
+  char *rtn = NULL;
+  jclass clsstring = env->FindClass("java/lang/String");
+  jstring strencode = env->NewStringUTF("GB2312");
+  jmethodID mid = env->GetMethodID(clsstring, "getBytes", "(Ljava/lang/String;)[B");
+  jbyteArray barr = (jbyteArray)env->CallObjectMethod(jstr, mid, strencode);
+  jsize alen = env->GetArrayLength(barr);
+  jbyte *ba = env->GetByteArrayElements(barr, JNI_FALSE);
+  if (alen > 0) {
+    rtn = new char[alen + 1];
+    memcpy(rtn, ba, alen);
+    rtn[alen] = 0;
+  }
+  env->ReleaseByteArrayElements(barr, ba, 0);
+  return rtn;
+}
diff --git a/mindspore/lite/java/src/native/common/jni_utils.h b/mindspore/lite/java/src/native/common/jni_utils.h
new file mode 100644
index 0000000000..6f99e950a2
--- /dev/null
+++ b/mindspore/lite/java/src/native/common/jni_utils.h
@@ -0,0 +1,26 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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.
+ */
+
+#ifndef MINDSPORE_LITE_JAVA_SRC_COMMON_JNI_UTILS_H
+#define MINDSPORE_LITE_JAVA_SRC_COMMON_JNI_UTILS_H
+
+#include <jni.h>
+
+char *JstringToChar(JNIEnv *env, jstring jstr);
+
+#endif  // MINDSPORE_LITE_JAVA_SRC_COMMON_JNI_UTILS_H
diff --git a/mindspore/lite/java/src/native/common/ms_log.cpp b/mindspore/lite/java/src/native/common/ms_log.cpp
new file mode 100644
index 0000000000..0dae12742f
--- /dev/null
+++ b/mindspore/lite/java/src/native/common/ms_log.cpp
@@ -0,0 +1,19 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 "common/ms_log.h"
diff --git a/mindspore/lite/java/src/native/common/ms_log.h b/mindspore/lite/java/src/native/common/ms_log.h
new file mode 100644
index 0000000000..1347ab077c
--- /dev/null
+++ b/mindspore/lite/java/src/native/common/ms_log.h
@@ -0,0 +1,36 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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.
+ */
+
+#ifndef MINDSPORE_LITE_JAVA_SRC_COMMON_MS_LOG_H
+#define MINDSPORE_LITE_JAVA_SRC_COMMON_MS_LOG_H
+
+#include <android/log.h>
+#include <unistd.h>
+
+#define TAG "MS_LITE"
+
+#define MS_LOGD(fmt, args...) \
+  { __android_log_print(ANDROID_LOG_DEBUG, TAG, "|%d|%s[%d]|: " fmt, getpid(), __func__, __LINE__, ##args); }
+
+#define MS_LOGE(fmt, args...) \
+  { __android_log_print(ANDROID_LOG_ERROR, TAG, "|%d|%s[%d]|: " fmt, getpid(), __func__, __LINE__, ##args); }
+
+#define MS_LOGI(fmt, args...) \
+  { __android_log_print(ANDROID_LOG_INFO, TAG, "|%d|%s[%d]|: " fmt, getpid(), __func__, __LINE__, ##args); }
+
+#endif  // MINDSPORE_LITE_JAVA_SRC_COMMON_MS_LOG_H
diff --git a/mindspore/lite/java/src/native/runtime/context.cpp b/mindspore/lite/java/src/native/runtime/context.cpp
new file mode 100644
index 0000000000..15f8db091d
--- /dev/null
+++ b/mindspore/lite/java/src/native/runtime/context.cpp
@@ -0,0 +1,69 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 <jni.h>
+#include "common/ms_log.h"
+#include "include/context.h"
+
+extern "C" JNIEXPORT jlong JNICALL Java_cn_huawei_mindspore_context_Context_createContext(JNIEnv *env, jobject thiz,
+                                                                                          jint device_type,
+                                                                                          jint thread_num,
+                                                                                          jint cpu_bind_mode) {
+  auto *context = new mindspore::lite::Context();
+  switch (device_type) {
+    case 0:
+      context->device_ctx_.type = mindspore::lite::DT_CPU;
+      break;
+    case 1:
+      context->device_ctx_.type = mindspore::lite::DT_GPU;
+      break;
+    case 2:
+      context->device_ctx_.type = mindspore::lite::DT_NPU;
+      break;
+    default:
+      MS_LOGE("Invalid device_type : %d", device_type);
+      return (jlong)context;
+  }
+  switch (cpu_bind_mode) {
+    case -1:
+      context->cpu_bind_mode_ = mindspore::lite::MID_CPU;
+      break;
+    case 0:
+      context->cpu_bind_mode_ = mindspore::lite::NO_BIND;
+      break;
+    case 1:
+      context->cpu_bind_mode_ = mindspore::lite::HIGHER_CPU;
+      break;
+    default:
+      MS_LOGE("Invalid cpu_bind_mode : %d", cpu_bind_mode);
+      return (jlong)context;
+  }
+  context->thread_num_ = thread_num;
+  return (jlong)context;
+}
+
+extern "C" JNIEXPORT void JNICALL Java_cn_huawei_mindspore_context_Context_free(JNIEnv *env, jobject thiz,
+                                                                                jlong context_ptr) {
+  auto *pointer = static_cast<void *>(context_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Context pointer from java is nullptr");
+    return;
+  }
+  auto *lite_context_ptr = static_cast<mindspore::lite::Context *>(pointer);
+  delete (lite_context_ptr);
+}
diff --git a/mindspore/lite/java/src/native/runtime/lite_session.cpp b/mindspore/lite/java/src/native/runtime/lite_session.cpp
new file mode 100644
index 0000000000..be309364ba
--- /dev/null
+++ b/mindspore/lite/java/src/native/runtime/lite_session.cpp
@@ -0,0 +1,196 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 <jni.h>
+#include "common/ms_log.h"
+#include "common/jni_utils.h"
+#include "include/lite_session.h"
+#include "include/errorcode.h"
+
+extern "C" JNIEXPORT jlong JNICALL Java_cn_huawei_mindspore_LiteSession_createSession(JNIEnv *env, jobject thiz,
+                                                                                      jlong context_ptr) {
+  auto *pointer = static_cast<void *>(context_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Context pointer from java is nullptr");
+    return jlong(nullptr);
+  }
+  auto *lite_context_ptr = static_cast<mindspore::lite::Context *>(pointer);
+  auto session = mindspore::session::LiteSession::CreateSession(lite_context_ptr);
+  if (session == nullptr) {
+    MS_LOGE("CreateSession failed");
+    return jlong(nullptr);
+  }
+  return jlong(session);
+}
+
+extern "C" JNIEXPORT jboolean JNICALL Java_cn_huawei_mindspore_LiteSession_compileGraph(JNIEnv *env, jobject thiz,
+                                                                                        jlong session_ptr,
+                                                                                        jlong model_ptr) {
+  auto *session_pointer = static_cast<void *>(session_ptr);
+  if (session_pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return (jboolean) false;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(session_pointer);
+  auto *model_pointer = static_cast<void *>(model_ptr);
+  if (model_pointer == nullptr) {
+    MS_LOGE("Model pointer from java is nullptr");
+    return (jboolean) false;
+  }
+  auto *lite_model_ptr = static_cast<mindspore::lite::Model *>(model_pointer);
+
+  auto ret = lite_session_ptr->CompileGraph(lite_model_ptr);
+  return (jboolean)(ret == mindspore::lite::RET_OK);
+}
+
+extern "C" JNIEXPORT void JNICALL Java_cn_huawei_mindspore_LiteSession_bindThread(JNIEnv *env, jobject thiz,
+                                                                                  jlong session_ptr, jboolean if_bind) {
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  lite_session_ptr->BindThread(if_bind);
+}
+
+extern "C" JNIEXPORT jboolean JNICALL Java_cn_huawei_mindspore_LiteSession_runGraph(JNIEnv *env, jobject thiz,
+                                                                                    jlong session_ptr) {
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return (jboolean) false;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  auto ret = lite_session_ptr->RunGraph();
+  return (jboolean)(ret == mindspore::lite::RET_OK);
+}
+
+extern "C" JNIEXPORT jobject JNICALL Java_cn_huawei_mindspore_LiteSession_getInputs(JNIEnv *env, jobject thiz,
+                                                                                    jlong session_ptr) {
+  jclass array_list = env->FindClass("java/util/ArrayList");
+  jmethodID array_list_construct = env->GetMethodID(array_list, "<init>", "()V");
+  jobject ret = env->NewObject(array_list, array_list_construct);
+  jmethodID array_list_add = env->GetMethodID(array_list, "add", "(Ljava/lang/Object;)Z");
+
+  jclass long_object = env->FindClass("java/lang/Long");
+  jmethodID long_object_construct = env->GetMethodID(long_object, "<init>", "(J)V");
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return ret;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  auto inputs = lite_session_ptr->GetInputs();
+  for (auto input : inputs) {
+    jobject tensor_addr = env->NewObject(long_object, long_object_construct, jlong(input));
+    env->CallBooleanMethod(ret, array_list_add, tensor_addr);
+  }
+  return ret;
+}
+
+extern "C" JNIEXPORT jobject JNICALL Java_cn_huawei_mindspore_LiteSession_getInputsByName(JNIEnv *env, jobject thiz,
+                                                                                          jlong session_ptr,
+                                                                                          jstring node_name) {
+  jclass array_list = env->FindClass("java/util/ArrayList");
+  jmethodID array_list_construct = env->GetMethodID(array_list, "<init>", "()V");
+  jobject ret = env->NewObject(array_list, array_list_construct);
+  jmethodID array_list_add = env->GetMethodID(array_list, "add", "(Ljava/lang/Object;)Z");
+
+  jclass long_object = env->FindClass("java/lang/Long");
+  jmethodID long_object_construct = env->GetMethodID(long_object, "<init>", "(J)V");
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return ret;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  auto inputs = lite_session_ptr->GetInputsByName(JstringToChar(env, node_name));
+  for (auto input : inputs) {
+    jobject tensor_addr = env->NewObject(long_object, long_object_construct, jlong(input));
+    env->CallBooleanMethod(ret, array_list_add, tensor_addr);
+  }
+  return ret;
+}
+
+extern "C" JNIEXPORT jobject JNICALL Java_cn_huawei_mindspore_LiteSession_getOutputs(JNIEnv *env, jobject thiz,
+                                                                                     jlong session_ptr) {
+  jclass hash_map_clazz = env->FindClass("java/util/HashMap");
+  jmethodID hash_map_construct = env->GetMethodID(hash_map_clazz, "<init>", "()V");
+  jobject hash_map = env->NewObject(hash_map_clazz, hash_map_construct);
+  jmethodID hash_map_put =
+    env->GetMethodID(hash_map_clazz, "put", "(Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object;");
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return hash_map;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  auto outputs = lite_session_ptr->GetOutputs();
+  jclass long_object = env->FindClass("java/lang/Long");
+  jmethodID long_object_construct = env->GetMethodID(long_object, "<init>", "(J)V");
+  jclass array_list = env->FindClass("java/util/ArrayList");
+  jmethodID array_list_construct = env->GetMethodID(array_list, "<init>", "()V");
+  jmethodID array_list_add = env->GetMethodID(array_list, "add", "(Ljava/lang/Object;)Z");
+  for (auto output_iter : outputs) {
+    auto node_name = output_iter.first;
+    auto ms_tensors = output_iter.second;
+    jobject vec = env->NewObject(array_list, array_list_construct);
+    for (auto ms_tensor : ms_tensors) {
+      jobject tensor_addr = env->NewObject(long_object, long_object_construct, jlong(ms_tensor));
+      env->CallBooleanMethod(vec, array_list_add, tensor_addr);
+    }
+    env->CallObjectMethod(hash_map, hash_map_put, env->NewStringUTF(node_name.c_str()), vec);
+  }
+  return hash_map;
+}
+
+extern "C" JNIEXPORT jobject JNICALL Java_cn_huawei_mindspore_LiteSession_getOutputsByName(JNIEnv *env, jobject thiz,
+                                                                                           jlong session_ptr,
+                                                                                           jstring node_name) {
+  jclass array_list = env->FindClass("java/util/ArrayList");
+  jmethodID array_list_construct = env->GetMethodID(array_list, "<init>", "()V");
+  jobject ret = env->NewObject(array_list, array_list_construct);
+  jmethodID array_list_add = env->GetMethodID(array_list, "add", "(Ljava/lang/Object;)Z");
+
+  jclass long_object = env->FindClass("java/lang/Long");
+  jmethodID long_object_construct = env->GetMethodID(long_object, "<init>", "(J)V");
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return ret;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  auto inputs = lite_session_ptr->GetOutputsByName(JstringToChar(env, node_name));
+  for (auto input : inputs) {
+    jobject tensor_addr = env->NewObject(long_object, long_object_construct, jlong(input));
+    env->CallBooleanMethod(ret, array_list_add, tensor_addr);
+  }
+  return ret;
+}
+
+extern "C" JNIEXPORT void JNICALL Java_cn_huawei_mindspore_LiteSession_free(JNIEnv *env, jobject thiz,
+                                                                            jlong session_ptr) {
+  auto *pointer = static_cast<void *>(session_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Session pointer from java is nullptr");
+    return;
+  }
+  auto *lite_session_ptr = static_cast<mindspore::session::LiteSession *>(pointer);
+  delete (lite_session_ptr);
+}
diff --git a/mindspore/lite/java/src/native/runtime/model.cpp b/mindspore/lite/java/src/native/runtime/model.cpp
new file mode 100644
index 0000000000..d0c78fe48e
--- /dev/null
+++ b/mindspore/lite/java/src/native/runtime/model.cpp
@@ -0,0 +1,50 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 <jni.h>
+#include "common/ms_log.h"
+#include "include/model.h"
+
+extern "C" JNIEXPORT jlong JNICALL Java_cn_huawei_mindspore_Model_loadModel(JNIEnv *env, jobject thiz, jobject buffer) {
+  MS_LOGD("Start getting buffer from java");
+  if (buffer == nullptr) {
+    MS_LOGE("Buffer from java is nullptr");
+    return reinterpret_cast<jlong>(nullptr);
+  }
+  jlong buffer_len = env->GetDirectBufferCapacity(buffer);
+  auto *model_buffer = static_cast<char *>(env->GetDirectBufferAddress(buffer));
+
+  MS_LOGD("Start Loading model");
+  auto model = mindspore::lite::Model::Import(model_buffer, buffer_len);
+  //    env->DeleteLocalRef(*(jobject *)model_buffer);
+  if (model == nullptr) {
+    MS_LOGE("Import model failed");
+    return reinterpret_cast<jlong>(nullptr);
+  }
+  return reinterpret_cast<jlong>(model);
+}
+
+extern "C" JNIEXPORT void JNICALL Java_cn_huawei_mindspore_Model_free(JNIEnv *env, jobject thiz, jlong model_ptr) {
+  auto *pointer = static_cast<void *>(model_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Model pointer from java is nullptr");
+    return;
+  }
+  auto *lite_model_ptr = static_cast<mindspore::lite::Model *>(pointer);
+  delete (lite_model_ptr);
+}
diff --git a/mindspore/lite/java/src/native/runtime/ms_tensor.cpp b/mindspore/lite/java/src/native/runtime/ms_tensor.cpp
new file mode 100644
index 0000000000..e0cb5b2880
--- /dev/null
+++ b/mindspore/lite/java/src/native/runtime/ms_tensor.cpp
@@ -0,0 +1,172 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * 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 <jni.h>
+#include "common/ms_log.h"
+#include "include/ms_tensor.h"
+#include "ir/dtype/type_id.h"
+
+extern "C" JNIEXPORT jlong JNICALL Java_cn_huawei_mindspore_MSTensor_createMSTensor(JNIEnv *env, jobject thiz,
+                                                                                    jint data_type, jintArray shape,
+                                                                                    jint shape_len) {
+  jboolean is_copy = false;
+  jint *local_shape_arr = env->GetIntArrayElements(shape, &is_copy);
+  std::vector<int> local_shape(shape_len);
+  for (size_t i = 0; i < shape_len; i++) {
+    local_shape[i] = local_shape_arr[i];
+  }
+  auto *ms_tensor = mindspore::tensor::MSTensor::CreateTensor(mindspore::TypeId(data_type), local_shape);
+  env->ReleaseIntArrayElements(shape, local_shape_arr, JNI_ABORT);
+  if (ms_tensor == nullptr) {
+    MS_LOGE("CreateTensor failed");
+    return reinterpret_cast<jlong>(nullptr);
+  }
+  return reinterpret_cast<jlong>(ms_tensor);
+}
+
+extern "C" JNIEXPORT jintArray JNICALL Java_cn_huawei_mindspore_MSTensor_getShape(JNIEnv *env, jobject thiz,
+                                                                                  jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return env->NewIntArray(0);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  auto local_shape = ms_tensor_ptr->shape();
+  auto shape_size = local_shape.size();
+  jintArray shape = env->NewIntArray(shape_size);
+  auto *tmp = new jint[shape_size];
+  for (size_t i = 0; i < shape_size; i++) {
+    tmp[i] = local_shape.at(i);
+  }
+  delete[](tmp);
+  env->SetIntArrayRegion(shape, 0, shape_size, tmp);
+  return shape;
+}
+
+extern "C" JNIEXPORT jboolean JNICALL Java_cn_huawei_mindspore_MSTensor_setShape(JNIEnv *env, jobject thiz,
+                                                                                 jlong tensor_ptr, jintArray shape,
+                                                                                 jint shape_len) {
+  jboolean is_copy = false;
+  jint *local_shape_arr = env->GetIntArrayElements(shape, &is_copy);
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return static_cast<jboolean>(false);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  std::vector<int> local_shape(shape_len);
+  for (size_t i = 0; i < shape_len; i++) {
+    local_shape[i] = local_shape_arr[i];
+  }
+  auto ret = ms_tensor_ptr->set_shape(local_shape);
+  return ret == shape_len;
+}
+
+extern "C" JNIEXPORT jint JNICALL Java_cn_huawei_mindspore_MSTensor_getDataType(JNIEnv *env, jobject thiz,
+                                                                                jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return static_cast<jboolean>(false);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  return jint(ms_tensor_ptr->data_type());
+}
+
+extern "C" JNIEXPORT jboolean JNICALL Java_cn_huawei_mindspore_MSTensor_setDataType(JNIEnv *env, jobject thiz,
+                                                                                    jlong tensor_ptr, jint data_type) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return static_cast<jboolean>(false);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  auto ret = ms_tensor_ptr->set_data_type(mindspore::TypeId(data_type));
+  return ret == data_type;
+}
+
+extern "C" JNIEXPORT jbyteArray JNICALL Java_cn_huawei_mindspore_MSTensor_getData(JNIEnv *env, jobject thiz,
+                                                                                  jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return env->NewByteArray(0);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  auto *local_data = static_cast<jbyte *>(ms_tensor_ptr->MutableData());
+  if (local_data == nullptr) {
+    MS_LOGD("Tensor has no data");
+    return env->NewByteArray(0);
+  }
+  auto local_data_size = ms_tensor_ptr->Size();
+  auto ret = env->NewByteArray(local_data_size);
+  env->SetByteArrayRegion(ret, 0, local_data_size, local_data);
+  return ret;
+}
+
+extern "C" JNIEXPORT jboolean JNICALL Java_cn_huawei_mindspore_MSTensor_setData(JNIEnv *env, jobject thiz,
+                                                                                jlong tensor_ptr, jbyteArray data,
+                                                                                jlong data_len) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return static_cast<jboolean>(false);
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  if (data_len != ms_tensor_ptr->Size()) {
+    MS_LOGE("data_len(%ld) not equal to Size of ms_tensor(%zu)", data_len, ms_tensor_ptr->Size());
+    return static_cast<jboolean>(false);
+  }
+  jboolean is_copy = false;
+  auto *data_arr = env->GetByteArrayElements(data, &is_copy);
+  auto *local_data = ms_tensor_ptr->MutableData();
+  memcpy(local_data, data_arr, data_len);
+  return static_cast<jboolean>(true);
+}
+
+extern "C" JNIEXPORT jlong JNICALL Java_cn_huawei_mindspore_MSTensor_size(JNIEnv *env, jobject thiz, jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return 0;
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  return ms_tensor_ptr->Size();
+}
+
+extern "C" JNIEXPORT jint JNICALL Java_cn_huawei_mindspore_MSTensor_elementsNum(JNIEnv *env, jobject thiz,
+                                                                                jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return 0;
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  return ms_tensor_ptr->ElementsNum();
+}
+
+extern "C" JNIEXPORT void JNICALL Java_cn_huawei_mindspore_MSTensor_free(JNIEnv *env, jobject thiz, jlong tensor_ptr) {
+  auto *pointer = static_cast<void *>(tensor_ptr);
+  if (pointer == nullptr) {
+    MS_LOGE("Tensor pointer from java is nullptr");
+    return;
+  }
+  auto *ms_tensor_ptr = static_cast<mindspore::tensor::MSTensor *>(pointer);
+  delete (ms_tensor_ptr);
+}
diff --git a/mindspore/lite/src/executor.cc b/mindspore/lite/src/executor.cc
index 61393383fe..01b02f4b01 100644
--- a/mindspore/lite/src/executor.cc
+++ b/mindspore/lite/src/executor.cc
@@ -37,12 +37,10 @@ int Executor::Run(std::vector<tensor::Tensor *> &inputs, std::vector<tensor::Ten
   kernel::LiteKernelUtil::InitTensorRefCount(kernels);
   for (auto *kernel : kernels) {
     MS_ASSERT(nullptr != kernel);
-    session::CallBackParam callbackParam;
-    callbackParam.name_callback_param = kernel->Name();
-    callbackParam.type_callback_param = kernel->type_str();
 
     if (before != nullptr) {
-      if (!before(PackToMSTensors(kernel->GetInputs()), PackToMSTensors(kernel->GetOutputs()), callbackParam)) {
+      if (!before(PackToMSTensors(kernel->GetInputs()), PackToMSTensors(kernel->GetOutputs()),
+                  {kernel->Name(), kernel->type_str()})) {
         MS_LOG(ERROR) << "run kernel before_callback failed, name: " << kernel->Name();
       }
     }
@@ -53,7 +51,8 @@ int Executor::Run(std::vector<tensor::Tensor *> &inputs, std::vector<tensor::Ten
     }
 
     if (after != nullptr) {
-      if (!after(PackToMSTensors(kernel->GetInputs()), PackToMSTensors(kernel->GetOutputs()), callbackParam)) {
+      if (!after(PackToMSTensors(kernel->GetInputs()), PackToMSTensors(kernel->GetOutputs()),
+                 {kernel->Name(), kernel->type_str()})) {
         MS_LOG(ERROR) << "run kernel after_callback failed, name: " << kernel->Name();
       }
     }