[PaddleV3] 修复 onnx 中不兼容的自定义层与写法并修复相关模型

test_benchmark/ONNX/SwinTransformer/pd_infer.py

@@ -1,4 +1,3 @@
-import paddle.fluid as fluid
 import paddle
 import numpy as np
 import sys
@@ -11,11 +10,9 @@
     exe = paddle.static.Executor(paddle.CPUPlace())
 
     # test dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
+
     LN_nums = 0
     for i, op in enumerate(prog.block(0).ops):
         if op.type in ['feed', 'fetch']:

test_benchmark/ONNX/bert6/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -16,11 +15,9 @@
     exe = paddle.static.Executor(paddle.CPUPlace())
 
     # test dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
+
     result = exe.run(prog,
                      feed={
                          inputs[0]: input_data["input_ids"],

test_benchmark/ONNX/black.list

@@ -1,15 +1,3 @@
-SwinTransformer
-bert6
-mmdetection_fasterrcnn
-mmdetection_fcos
-mmdetection_fsaf
-mmdetection_retina
-mmdetection_ssd
-mmdetection_yolov3
-mnasnet_a1
-mobilefacenet
-mobilenet_v2
-yolov5s
 dataset
 tools
 output

test_benchmark/ONNX/mmdetection_fasterrcnn/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,9 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
+
     data = np.load(
         "../dataset/mmdetection_fasterrcnn/real_img_data_fasterrcnn_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)

test_benchmark/ONNX/mmdetection_fcos/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,9 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
+
     data = np.load("../dataset/mmdetection_fcos/real_img_data_fcos_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/mmdetection_fsaf/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,8 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load("../dataset/mmdetection_fsaf/real_img_data_fsaf_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/mmdetection_retina/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,8 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load("../dataset/mmdetection_retina/real_img_data_retina_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/mmdetection_ssd/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,8 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load("../dataset/mmdetection_ssd/real_img_data_ssd_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/mmdetection_yolov3/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -10,11 +9,8 @@
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
     # test Dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load("../dataset/mmdetection_yolov3/real_img_data_yolo_50.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/mobilefacenet/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 import numpy as np
 import pickle
 import sys
@@ -11,11 +10,8 @@
     exe = paddle.static.Executor(paddle.CPUPlace())
 
     # test dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load('../dataset/mobilefacenet/input.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/yolov5s/pd_infer.py

@@ -1,4 +1,3 @@
-import paddle.fluid as fluid
 import paddle
 import numpy as np
 import sys
@@ -10,11 +9,8 @@
     exe = paddle.static.Executor(paddle.CPUPlace())
 
     # test dygraph
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_dygraph/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_dygraph/inference_model/model", executor=exe)
     data = np.load('../dataset/yolov5s/input_0.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

x2paddle/decoder/onnx_shape_inference.py

@@ -31,8 +31,18 @@ def get_attribute(node, attr_name, default_value=None):
     return default_value
 
 
+def filter_dim(dim):
+    """
+    onnx latest version make `unk_` dim instead of `None`
+    """
+    if isinstance(dim, str) and dim.startswith('unk_'):
+        return None
+
+    return dim
+
+
 def get_dim_from_type_proto(dim):
-    return getattr(dim, dim.WhichOneof('value')) if type(
+    return filter_dim(getattr(dim, dim.WhichOneof('value'))) if type(
         dim.WhichOneof('value')) == str else None
 
 
@@ -73,7 +83,13 @@ def as_scalar(x):
         assert len(x) == 1
         return x[0]
     elif type(x) == np.ndarray:
-        return np.asscalar(x)
+        _x = None
+        try:
+            _x = np.asscalar(x)
+        except:
+            _x = as_scalar(x.tolist())
+
+        return _x
     else:
         return x
 
@@ -508,7 +524,7 @@ def _get_int_values(self, node, broadcast=False):
                 if len(v.shape) > 1:
                     new_v = None  # ignore value for rank > 1
                 elif len(v.shape) == 0:
-                    new_v = int(np.asscalar(v))
+                    new_v = int(as_scalar(v))
                 else:
                     assert len(v.shape) == 1
                     new_v = [int(vv) for vv in v]