[PaddleV3] 修复部分依赖 paddle.fluid 的 onnx 模型 part 1

test_benchmark/ONNX/FaceNet/pd_infer.py

@@ -1,5 +1,5 @@
 import paddle
-import paddle.fluid as fluid
+
 import numpy as np
 import pickle
 import sys
@@ -10,11 +10,8 @@
     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/FaceNet/input.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/GPEN/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/GPEN/input.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/IDG_detection_registration_p1/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)
     with open(
             "../dataset/IDG_detection_registration_p1/detection_registration_p1_inputs.pkl",
             "rb") as fr:

test_benchmark/ONNX/IDG_detection_registration_p2/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)
     with open(
             "../dataset/IDG_detection_registration_p2/detection_registration_p2_inputs.pkl",
             "rb") as fr:

test_benchmark/ONNX/IDG_keypoint_selection/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)
     with open("../dataset/IDG_keypoint_selection/keypoint_selection_inputs.pkl",
               "rb") as fr:
         inputs_list = pickle.load(fr)

test_benchmark/ONNX/IDG_local_vis/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)
     with open("../dataset/IDG_local_vis/local_vis_inputs.pkl", "rb") as fr:
         inputs_list = pickle.load(fr)
 

test_benchmark/ONNX/IDG_multi_modal_crop_cnn_model/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)
     with open(
             "../dataset/IDG_multi_modal_crop_cnn_model/multi_modal_crop_cnn_model_inputs_1221.pkl",
             "rb") as fr:

test_benchmark/ONNX/IDG_multi_modal_fully_cnn_model/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)
     with open(
             "../dataset/IDG_multi_modal_fully_cnn_model/multi_modal_fully_cnn_model_inputs_1222.pkl",
             "rb") as fr:

test_benchmark/ONNX/IDG_multi_modal_sequential_model/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)
     with open(
             "../dataset/IDG_multi_modal_sequential_model/multi_modal_sequential_model_inputs_1222.pkl",
             "rb") as fr:

test_benchmark/ONNX/IDG_test_process/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.CUDAPlace(0))
 
     # 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)
     with open("../dataset/IDG_test_process/test_process_inputs.pkl",
               "rb") as fr:
         inputs_list = pickle.load(fr)

test_benchmark/ONNX/IDG_test_sim_feat_new/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)
     with open("../dataset/IDG_test_sim_feat_new/test_sim_feat_new_inputs.pkl",
               "rb") as fr:
         inputs_list = pickle.load(fr)

test_benchmark/ONNX/MLPerf_ResNet50/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/MLPerf_ResNet50/input_0.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/Poselandmarks/pd_infer.py

@@ -1,4 +1,3 @@
-import paddle.fluid as fluid
 import paddle
 import numpy as np
 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/Poselandmarks/input.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/Seg/pd_infer.py

@@ -1,4 +1,3 @@
-import paddle.fluid as fluid
 import paddle
 import numpy as np
 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/Seg/input.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/VIT_online/pd_infer.py

@@ -1,4 +1,3 @@
-import paddle.fluid as fluid
 import paddle
 import numpy as np
 import sys
@@ -11,11 +10,8 @@
     exe = paddle.static.Executor(paddle.CUDAPlace(0))
 
     # 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/alexnet/pd_infer.py

@@ -1,5 +1,4 @@
 import paddle
-import paddle.fluid as fluid
 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/alexnet/input_0.npy')
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
     paddle.disable_static()

test_benchmark/ONNX/basnet/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/basnet/input_0.npy")
     result = exe.run(prog, feed={inputs[0]: data}, fetch_list=outputs)
 

test_benchmark/ONNX/black.list

@@ -1,21 +1,4 @@
-FaceNet
-GPEN
-IDG_detection_registration_p1
-IDG_detection_registration_p2
-IDG_keypoint_selection
-IDG_local_vis
-IDG_multi_modal_crop_cnn_model
-IDG_multi_modal_fully_cnn_model
-IDG_multi_modal_sequential_model
-IDG_test_process
-IDG_test_sim_feat_new
-MLPerf_ResNet50
-Poselandmarks
-Seg
 SwinTransformer
-VIT_online
-alexnet
-basnet
 bert6
 best_float32
 cifarnet

test_benchmark/ONNX/tools/predict.py

@@ -10,7 +10,6 @@
 import yaml
 import numpy as np
 import paddle
-import paddle.fluid as fluid
 from paddle.inference import create_predictor, PrecisionType
 from paddle.inference import Config
 from benchmark_utils import PaddleInferBenchmark
@@ -201,11 +200,8 @@ def analysis_operators(self, model_dir):
         paddle.enable_static()
         exe = paddle.static.Executor(paddle.CPUPlace())
         # test Dygraph
-        [prog, inputs, outputs
-         ] = fluid.io.load_inference_model(dirname=model_dir,
-                                           executor=exe,
-                                           model_filename="model.pdmodel",
-                                           params_filename="model.pdiparams")
+        [prog, inputs, outputs] = paddle.static.load_inference_model(
+            path_prefix=model_dir + "/model", executor=exe)
         #test op nums
         op_dict = dict()
         op_nums = 0