add aten and comment

x2paddle/core/program.py

-#   Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2020  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.

x2paddle/decoder/pytorch_decoder.py

-#   Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2020  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.

x2paddle/op_mapper/pytorch2paddle/aten.py

@@ -1044,6 +1044,9 @@ def aten_embedding(mapper, graph, node):
     # 获取当前节点输入的list
     current_inputs = list(layer_inputs.values())
     # 处理输入2，即%45
+    if mapper.attrs[inputs_name[2]] == -1:
+        layer_attrs["padding_idx"] = None
+    else:
         layer_attrs["padding_idx"] = mapper.attrs[inputs_name[2]]
     # 处理输入4，即%46
     #     layer_attrs["sparse"] = mapper.attrs[inputs_name[4]]
@@ -2933,6 +2936,44 @@ def aten_softplus(mapper, graph, node):
     return current_inputs, current_outputs
 
 
+def aten_squeeze(mapper, graph, node):
+    """ 构造删除位数为1的维度的PaddleLayer。
+
+    TorchScript示例:
+        %12 : Tensor = aten::squeeze(%start_logits.1, %4)
+        参数含义:
+        %12 (Tensor): 输出，删除维度后的Tensor。
+        %start_logits.1 (Tensor): 需要删除维度的Tensor。
+        %4 (int): 维度。
+    """
+    output_name = mapper._get_outputs_name(node)[0]
+    layer_outputs = [output_name]
+    layer_inputs = {}
+    layer_attrs = {}
+    inputs_name, inputs_node = mapper._get_inputs_name(node)
+    # 获取当前节点输出的list
+    current_outputs = [output_name]
+    # 处理输入0，即%start_logits.1
+    mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs)
+    layer_inputs["x"] = inputs_name[0]
+    # 获取当前节点输入的list
+    current_inputs = list(layer_inputs.values())
+    # 处理输入1，即%4
+    if inputs_name[1] in mapper.attrs:
+        layer_attrs["axis"] = mapper.attrs[inputs_name[1]]
+    else:
+        mapper._check_input(graph, inputs_node[1], inputs_name[1],
+                            current_outputs)
+        layer_inputs["axis"] = inputs_name[1]
+        current_inputs.append(inputs_name[1])
+    graph.add_layer(
+        "paddle.tensor.squeeze",
+        inputs=layer_inputs,
+        outputs=layer_outputs,
+        **layer_attrs)
+    return current_inputs, current_outputs
+
+
 def aten_stack(mapper, graph, node):
     """ 构造堆叠Tensor的PaddleLayer。
 

x2paddle/op_mapper/pytorch2paddle/prim2code.py

-#   Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2020  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.

x2paddle/op_mapper/pytorch2paddle/pytorch_op_mapper.py

-#   Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2020  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.

x2paddle/optimizer/fusion/constant_fuse_pass.py

+#   Copyright (c) 2020  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

x2paddle/optimizer/fusion/dropout_fuse_pass.py

+#   Copyright (c) 2020  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