add develop diff

README.md

@@ -10,7 +10,7 @@ X2Paddle在多个主流的CV模型上，测试过TensorFlow/Caffe/ONNX模型的
 ## 环境依赖
 
 python == 2.7 | python >= 3.5  
-paddlepaddle >= 1.8.0  
+paddlepaddle >= 2.0.0  
 
 **按需安装以下依赖**  
 tensorflow ： tensorflow == 1.14.0  
@@ -49,11 +49,14 @@ x2paddle --framework=onnx --model=onnx_model.onnx --save_dir=pd_model
 ### PyTorch
 > PyTorch不支持命令行使用方式，详见[PyTorch2Paddle](pytorch2paddle.md)
 
+### Paddle2ONNX
+> Paddle2ONNX功能已迁移至新的github: https://github.com/PaddlePaddle/paddle2onnx, 欢迎大家去新的代码仓库查看详细介绍以及新功能。
+
 
 ### 参数选项
 | 参数 | |
 |----------|--------------|
-|--framework | 源模型类型 (tensorflow、caffe、onnx、paddle2onnx) |
+|--framework | 源模型类型 (tensorflow、caffe、onnx) |
 |--prototxt | 当framework为caffe时，该参数指定caffe模型的proto文件路径 |
 |--weight | 当framework为caffe时，该参数指定caffe模型的参数文件路径 |
 |--save_dir | 指定转换后的模型保存目录路径 |
@@ -61,7 +64,6 @@ x2paddle --framework=onnx --model=onnx_model.onnx --save_dir=pd_model
 |--caffe_proto | **[可选]** 由caffe.proto编译成caffe_pb2.py文件的存放路径，当存在自定义Layer时使用，默认为None |
 |--define_input_shape | **[可选]** For TensorFlow, 当指定该参数时，强制用户输入每个Placeholder的shape，见[文档Q2](FAQ.md) |
 |--params_merge | **[可选]** 当指定该参数时，转换完成后，inference_model中的所有模型参数将合并保存为一个文件__params__ |
-|--onnx_opset | **[可选]** 当framework为paddle2onnx时，该参数可设置转换为ONNX的OpSet版本，目前支持9、10、11，默认为10 |
 
 
 

tools/README.md

@@ -4,7 +4,7 @@
 ```
 python tools/check_for_lite.py paddle_model/inference_model/__model__
 ```
-
+> 附：check_for_lite工具并不能完全判断模型是否被支持，PaddleLite详细支持的算子请参考[PaddleLite支持算子集](https://github.com/PaddlePaddle/Paddle-Lite/blob/develop/docs/introduction/support_operation_list.md)
 
 ### 二、模型参数合并
 X2Paddle转换后产出的路径下包括两个目录，  

x2paddle/convert.py

@@ -64,24 +64,12 @@ def arg_parser():
         action="store_true",
         default=False,
         help="get version of x2paddle")
-    parser.add_argument(
-        "--without_data_format_optimization",
-        "-wo",
-        type=_text_type,
-        default="True",
-        help="tf model conversion without data format optimization")
     parser.add_argument(
         "--define_input_shape",
         "-d",
         action="store_true",
         default=False,
         help="define input shape for tf model")
-    parser.add_argument(
-        "--onnx_opset",
-        "-oo",
-        type=int,
-        default=10,
-        help="when paddle2onnx set onnx opset version to export")
     parser.add_argument(
         "--params_merge",
         "-pm",
@@ -95,6 +83,12 @@ def arg_parser():
         default="dygraph",
         help="define the paddle model type after converting(dygraph/static)"
     )
+    parser.add_argument(
+        "--without_data_format_optimization",
+        "-wo",
+        type=_text_type,
+        default="True",
+        help="tf model conversion without data format optimization")
     
     return parser
 
@@ -246,24 +240,6 @@ def pytorch2paddle(module, save_dir, jit_type="trace", input_examples=None):
     mapper.paddle_graph.gen_model(save_dir, jit_type=jit_type)
 
 
-def paddle2onnx(model_path, save_dir, opset_version=10):
-    import paddle.fluid as fluid
-    try:
-        import paddle2onnx
-    except:
-        print(
-            "[ERROR] paddle2onnx not installed, use \"pip install paddle2onnx\"")
-
-    import paddle2onnx as p2o
-    model = p2o.PaddleDecoder(model_path, '__model__', '__params__')
-    mapper = p2o.PaddleOpMapper()
-    mapper.convert(
-        model.program,
-        save_dir,
-        scope=fluid.global_scope(),
-        opset_version=opset_version)
-
-
 def main():
     if len(sys.argv) < 2:
         print("Use \"x2paddle -h\" to print the help information")
@@ -328,12 +304,11 @@ def main():
             params_merge = True
         onnx2paddle(args.model, args.save_dir, args.paddle_type, params_merge)
     elif args.framework == "paddle2onnx":
-        assert args.model is not None, "--model should be defined while translating paddle model to onnx"
-        paddle2onnx(args.model, args.save_dir, opset_version=args.onnx_opset)
+        print("Paddle to ONNX tool has been migrated to the new github: https://github.com/PaddlePaddle/paddle2onnx")
 
     else:
         raise Exception(
-            "--framework only support tensorflow/caffe/onnx/paddle2onnx now")
+            "--framework only support tensorflow/caffe/onnx now")
 
 
 if __name__ == "__main__":

x2paddle/core/program.py

+# -*- coding:UTF-8 -*-
 #   Copyright (c) 2020  PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"

x2paddle/decoder/caffe_decoder.py

@@ -110,6 +110,8 @@ class CaffeGraph(Graph):
             if not exclude:
                 filtered_layers.append(layer)
                 # Guard against dupes.
+                if layer.name in filtered_layer_names:
+                    layer.name += "_0"
                 assert layer.name not in filtered_layer_names
                 filtered_layer_names.add(layer.name)
             else:
@@ -230,7 +232,7 @@ class CaffeGraph(Graph):
         assert input_node_name in self.node_map, 'The {} isn\'t a valid node'.format(
             name)
         input_node = self.node_map[input_node_name]
-        if len(input_node.layer.top) > 1:
+        if len(input_node.layer.top) > 1 and input_node.layer_type != "Input":
             need_idx = list(input_node.layer.top).index(node.layer.bottom[idx])
             name = input_node_name + ':' + str(need_idx)
         else:

x2paddle/decoder/onnx_decoder.py

@@ -18,7 +18,7 @@ from x2paddle.decoder.onnx_shape_inference import SymbolicShapeInference
 from onnx.checker import ValidationError
 from onnx.checker import check_model
 from onnx.utils import polish_model
-from onnx import helper
+from onnx import helper, shape_inference
 from onnx.helper import get_attribute_value, make_attribute
 from onnx.shape_inference import infer_shapes
 from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
@@ -141,6 +141,10 @@ class ONNXGraph(Graph):
         print("shape inferencing ...")
         self.graph = SymbolicShapeInference.infer_shapes(
             onnx_model, fixed_input_shape=self.fixed_input_shape)
+        if self.graph is None:
+            print('[WARNING] Shape inference by ONNX offical interface.')
+            onnx_model = shape_inference.infer_shapes(onnx_model)
+            self.graph = onnx_model.graph
         print("shape inferenced.")
         self.build()
         self.collect_value_infos()

x2paddle/decoder/onnx_shape_inference.py

@@ -1588,7 +1588,7 @@ class SymbolicShapeInference:
         assert version.parse(onnx.__version__) >= version.parse("1.5.0")
         onnx_opset = get_opset(in_mp)
         if not onnx_opset or onnx_opset < 7:
-            print('Only support models of onnx opset 7 and above.')
+            print('[WARNING] Symbolic shape inference only support models of onnx opset 7 and above.')
             return
         symbolic_shape_inference = SymbolicShapeInference(
             int_max, auto_merge, guess_output_rank, verbose)
@@ -1605,7 +1605,7 @@ class SymbolicShapeInference:
                 symbolic_shape_inference.out_mp_ = shape_inference.infer_shapes(
                     symbolic_shape_inference.out_mp_)
         except:
-            print('Stopping at incomplete symbolic shape inference')
+            print('[WARNING] Incomplete symbolic shape inference')
             symbolic_shape_inference.out_mp_ = shape_inference.infer_shapes(
                 symbolic_shape_inference.out_mp_)
         return symbolic_shape_inference.out_mp_.graph

x2paddle/op_mapper/dygraph/pytorch2paddle/aten.py

+# -*- coding:UTF-8 -*-
 #   Copyright (c) 2020  PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"

x2paddle/op_mapper/dygraph/pytorch2paddle/prim.py

+# -*- coding:UTF-8 -*-
 #   Copyright (c) 2020  PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"

x2paddle/op_mapper/dygraph/pytorch2paddle/prim2code.py

+# -*- coding:UTF-8 -*-
 #   Copyright (c) 2020  PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"

x2paddle/op_mapper/dygraph/pytorch2paddle/pytorch_op_mapper.py

+# -*- coding:UTF-8 -*-
 #   Copyright (c) 2020  PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"

x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py

@@ -561,7 +561,7 @@ class TFOpMapper(OpMapper):
 
         self.paddle_graph.add_layer(
             kernel="paddle.nn.functional.pad",
-            inputs={"input": input.name},
+            inputs={"x": input.name},
             outputs=[node.name],
             pad=paddings)
 

x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py

@@ -546,7 +546,7 @@ class TFOpMapper(OpMapper):
 
         self.paddle_graph.add_layer(
             kernel="fluid.layers.pad",
-            inputs={"input": input.name},
+            inputs={"x": input.name},
             outputs=[node.name],
             paddings=paddings)