[PaddleV3] 添加 pytorch 中 aten::list 的算子映射并修复相关模型

test_benchmark/PyTorch/DeepLabv3_ResNet50/deploy_infer.py

@@ -4,7 +4,6 @@
 
 import numpy as np
 import paddle
-import paddle.fluid as fluid
 from paddle.inference import Config
 from paddle.inference import create_predictor
 

test_benchmark/PyTorch/DeepLabv3_ResNet50/pd_infer.py

@@ -1,5 +1,4 @@
 from __future__ import print_function
-import paddle.fluid as fluid
 import paddle
 import sys
 import os
@@ -22,11 +21,8 @@ def rel_err(x, y):
     # trace
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_trace/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_trace/inference_model/model", executor=exe)
     result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
     df0 = pytorch_output["aux"] - result[0]
     df1 = pytorch_output["out"] - result[1]
@@ -40,11 +36,8 @@ def rel_err(x, y):
     # script
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_script/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_script/inference_model/model", executor=exe)
     result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
     df0 = pytorch_output["aux"] - result[0]
     df1 = pytorch_output["out"] - result[1]

test_benchmark/PyTorch/FCN_ResNet50/deploy_infer.py

@@ -4,7 +4,6 @@
 
 import numpy as np
 import paddle
-import paddle.fluid as fluid
 from paddle.inference import Config
 from paddle.inference import create_predictor
 

test_benchmark/PyTorch/FCN_ResNet50/pd_infer.py

@@ -1,5 +1,4 @@
 from __future__ import print_function
-import paddle.fluid as fluid
 import paddle
 import sys
 import os
@@ -22,11 +21,8 @@ def rel_err(x, y):
     # trace
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_trace/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_trace/inference_model/model", executor=exe)
 
     result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
     df0 = pytorch_output["aux"] - result[0]
@@ -41,11 +37,8 @@ def rel_err(x, y):
     # script
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_script/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_script/inference_model/model", executor=exe)
 
     result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
     df0 = pytorch_output["aux"] - result[0]

test_benchmark/PyTorch/black.list

@@ -2,10 +2,8 @@ BertForMaskedLM_dccuchile
 BertModel_SpanBert
 CamembertForQuestionAnswering
 DPRContextEncoder
-DeepLabv3_ResNet50
 EasyOCR_detector
 EasyOCR_recognizer
-FCN_ResNet50
 GRU
 MiniFasNet
 MockingBird

x2paddle/op_mapper/pytorch2paddle/aten.py

@@ -6711,3 +6711,33 @@ def aten_pad(mapper, graph, node):
                     **layer_attrs)
     current_inputs = list(layer_inputs.values())
     return current_inputs, current_outputs
+
+
+def aten_list(mapper, graph, node):
+    """ python 的 `list` 转换，如 `list((1,2,3))`
+    TorchScript示例:
+        %1926 : int[] = aten::list(%1925)
+        参数含义:
+        %1926 (list): 输出，转换为list。
+        %1925 (-): 可以转为list的输入
+    """
+    scope_name = mapper.normalize_scope_name(node)
+    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]
+
+    # process input
+    layer_inputs["x"] = inputs_name[0]
+
+    # 获取当前节点输入的list
+    current_inputs = list(layer_inputs.values())
+
+    graph.add_layer("prim.list_",
+                    inputs=layer_inputs,
+                    outputs=layer_outputs,
+                    scope_name=scope_name)
+    return current_inputs, current_outputs

x2paddle/op_mapper/pytorch2paddle/prim2code.py

@@ -530,6 +530,18 @@ def prim_list(layer,
     forward_func.extend(gen_codes([line], indent=indent))
 
 
+def prim_list_(layer,
+               indent=1,
+               init_func=[],
+               forward_func=[],
+               layer_id=None,
+               different_attrs=None):
+    """ just a python function: `list(x)`
+    """
+    line = "{} = list({})".format(layer.outputs[0], layer.inputs["x"])
+    forward_func.extend(gen_codes([line], indent=indent))
+
+
 def prim_list_unpack(layer,
                      indent=1,
                      init_func=[],