module 'paddle.fluid.core_avx' has no attribute 'save_op_version_info'

[HIT-liyihao]

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While saving my module with "paddle.fluid.core.save_op_version_info(_test_program.desc)" ,i got this error:

"AttributeError: module 'paddle.fluid.core_avx' has no attribute 'save_op_version_info'"

I'm wondering if its with problem of my paddle version, while im using paddle 1.8.4.
by the way,I can't upgrade paddle version.

How can i solve it asking for HELP

当我尝试用 "paddle.fluid.core.save_op_version_info(_test_program.desc)" 保存我的模型时，报错"AttributeError: module 'paddle.fluid.core_avx' has no attribute 'save_op_version_info'" 。我使用的是飞桨1.8.4版本并且不能更新到2.X版本。请问该如何解决

[HIT-liyihao]

以下是完整报错
{'AUG': {'AUG_METHOD': 'unpadding',
'FIX_RESIZE_SIZE': (512, 512),
'FLIP': False,
'FLIP_RATIO': 0.5,
'INF_RESIZE_VALUE': 500,
'MAX_RESIZE_VALUE': 600,
'MAX_SCALE_FACTOR': 2.0,
'MIN_RESIZE_VALUE': 400,
'MIN_SCALE_FACTOR': 0.5,
'MIRROR': True,
'RICH_CROP': {'ASPECT_RATIO': 0.33,
'BLUR': False,
'BLUR_RATIO': 0.1,
'BRIGHTNESS_JITTER_RATIO': 0.2,
'CONTRAST_JITTER_RATIO': 0.2,
'ENABLE': True,
'MAX_ROTATION': 15,
'MIN_AREA_RATIO': 0.5,
'SATURATION_JITTER_RATIO': 0.2},
'SCALE_STEP_SIZE': 0.25,
'TO_RGB': False},
'BATCH_SIZE': 4,
'DATALOADER': {'BUF_SIZE': 256, 'NUM_WORKERS': 8},
'DATASET': {'DATA_DIM': 3,
'DATA_DIR': '/home/aistudio/work/PaddleSeg/dataset/chest/',
'IGNORE_INDEX': 255,
'IMAGE_TYPE': 'rgb',
'NUM_CLASSES': 2,
'PADDING_VALUE': [127.5, 127.5, 127.5],
'SEPARATOR': ' ',
'TEST_FILE_LIST': '/home/aistudio/work/PaddleSeg/dataset/chest/val_list.txt',
'TEST_TOTAL_IMAGES': 44,
'TRAIN_FILE_LIST': '/home/aistudio/work/PaddleSeg/dataset/chest/train_list.txt',
'TRAIN_TOTAL_IMAGES': 394,
'VAL_FILE_LIST': '/home/aistudio/work/PaddleSeg/dataset/chest/val_list.txt',
'VAL_TOTAL_IMAGES': 44,
'VIS_FILE_LIST': '/home/aistudio/work/PaddleSeg/dataset/chest/val_list.txt'},
'EVAL_CROP_SIZE': (512, 512),
'FREEZE': {'MODEL_FILENAME': 'model',
'PARAMS_FILENAME': 'params',
'SAVE_DIR': 'freeze_model'},
'MEAN': [0.5, 0.5, 0.5],
'MODEL': {'BN_MOMENTUM': 0.99,
'DEEPLAB': {'ASPP_WITH_SEP_CONV': True,
'BACKBONE': 'xception_65',
'BACKBONE_LR_MULT_LIST': None,
'DECODER': {'CONV_FILTERS': 256,
'OUTPUT_IS_LOGITS': False,
'USE_SUM_MERGE': False},
'DECODER_USE_SEP_CONV': True,
'DEPTH_MULTIPLIER': 1.0,
'ENABLE_DECODER': True,
'ENCODER': {'ADD_IMAGE_LEVEL_FEATURE': True,
'ASPP_CONVS_FILTERS': 256,
'ASPP_RATIOS': None,
'ASPP_WITH_CONCAT_PROJECTION': True,
'ASPP_WITH_SE': False,
'POOLING_CROP_SIZE': None,
'POOLING_STRIDE': [1, 1],
'SE_USE_QSIGMOID': False},
'ENCODER_WITH_ASPP': True,
'OUTPUT_STRIDE': 16},
'DEFAULT_EPSILON': 1e-05,
'DEFAULT_GROUP_NUMBER': 32,
'DEFAULT_NORM_TYPE': 'bn',
'FP16': False,
'HRNET': {'STAGE2': {'NUM_CHANNELS': [40, 80], 'NUM_MODULES': 1},
'STAGE3': {'NUM_CHANNELS': [40, 80, 160],
'NUM_MODULES': 4},
'STAGE4': {'NUM_CHANNELS': [40, 80, 160, 320],
'NUM_MODULES': 3}},
'ICNET': {'DEPTH_MULTIPLIER': 0.5, 'LAYERS': 50},
'MODEL_NAME': 'unet',
'MULTI_LOSS_WEIGHT': [1.0],
'OCR': {'OCR_KEY_CHANNELS': 256, 'OCR_MID_CHANNELS': 512},
'PSPNET': {'DEPTH_MULTIPLIER': 1, 'LAYERS': 50},
'SCALE_LOSS': 'DYNAMIC',
'UNET': {'UPSAMPLE_MODE': 'bilinear'}},
'NUM_TRAINERS': 1,
'SLIM': {'KNOWLEDGE_DISTILL': False,
'KNOWLEDGE_DISTILL_IS_TEACHER': False,
'KNOWLEDGE_DISTILL_TEACHER_MODEL_DIR': '',
'NAS_ADDRESS': '',
'NAS_IS_SERVER': True,
'NAS_PORT': 23333,
'NAS_SEARCH_STEPS': 100,
'NAS_SPACE_NAME': '',
'NAS_START_EVAL_EPOCH': 0,
'PREPROCESS': False,
'PRUNE_PARAMS': '',
'PRUNE_RATIOS': []},
'SOLVER': {'BEGIN_EPOCH': 1,
'CROSS_ENTROPY_WEIGHT': None,
'DECAY_EPOCH': [10, 20],
'GAMMA': 0.1,
'LOSS': ['softmax_loss'],
'LOSS_WEIGHT': {'BCE_LOSS': 1,
'DICE_LOSS': 1,
'LOVASZ_HINGE_LOSS': 1,
'LOVASZ_SOFTMAX_LOSS': 1,
'SOFTMAX_LOSS': 1},
'LR': 0.001,
'LR_POLICY': 'poly',
'LR_WARMUP': False,
'LR_WARMUP_STEPS': 2000,
'MOMENTUM': 0.9,
'MOMENTUM2': 0.999,
'NUM_EPOCHS': 500,
'OPTIMIZER': 'adam',
'POWER': 0.9,
'WEIGHT_DECAY': 4e-05},
'STD': [0.5, 0.5, 0.5],
'TEST': {'TEST_MODEL': '/home/aistudio/work/saved_model/unet_optic/final'},
'TRAIN': {'MODEL_SAVE_DIR': '/home/aistudio/work/saved_model/unet_optic/',
'PRETRAINED_MODEL_DIR': '/home/aistudio/work/PaddleSeg/pretrained_model/unet_bn_coco/',
'RESUME_MODEL_DIR': '',
'SNAPSHOT_EPOCH': 15,
'SYNC_BATCH_NORM': False},
'TRAINER_ID': 0,
'TRAIN_CROP_SIZE': (512, 512)}
#Device count: 1
batch_size_per_dev: 4
2024-04-05 01:20:17,193-INFO: If regularizer of a Parameter has been set by 'fluid.ParamAttr' or 'fluid.WeightNormParamAttr' already. The Regularization[L2Decay, regularization_coeff=0.000040] in Optimizer will not take effect, and it will only be applied to other Parameters!
W0405 01:20:17.484263 3407 device_context.cc:252] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 12.0, Runtime API Version: 9.0
W0405 01:20:17.490731 3407 device_context.cc:260] device: 0, cuDNN Version: 7.6.
[SKIP] Shape of pretrained weight /home/aistudio/work/PaddleSeg/pretrained_model/unet_bn_coco//logit/weights doesn't match.(Pretrained: (21, 64, 3, 3), Actual: (2, 64, 3, 3))
2024-04-05 01:20:20,100-WARNING: /home/aistudio/work/PaddleSeg/pretrained_model/unet_bn_coco/.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ]
There are 90/91 varaibles in /home/aistudio/work/PaddleSeg/pretrained_model/unet_bn_coco/ are loaded.
Use multi-thread reader
epoch=1 step=10 lr=0.00100 loss=0.2914 step/sec=2.971 | ETA 04:34:47
epoch=1 step=20 lr=0.00100 loss=0.1847 step/sec=3.638 | ETA 03:44:25
... ...
epoch=15 step=1470 lr=0.00097 loss=0.1460 step/sec=3.537 | ETA 03:43:57
Save model checkpoint to /home/aistudio/work/saved_model/unet_optic/15
Traceback (most recent call last):
File "/home/aistudio/work/PaddleSeg/pdseg/train.py", line 469, in
main(args)
File "/home/aistudio/work/PaddleSeg/pdseg/train.py", line 455, in main
train(cfg)
File "/home/aistudio/work/PaddleSeg/pdseg/train.py", line 404, in train
save_infer_program(test_prog, ckpt_dir)
File "/home/aistudio/work/PaddleSeg/pdseg/train.py", line 167, in save_infer_program
paddle.fluid.core.save_op_version_info(_test_program.desc)
AttributeError: module 'paddle.fluid.core_avx' has no attribute 'save_op_version_info'

[shiyutang]

Hi, currently paddlepaddle have released 2.6.0 and paddle.fluid is not supported anymore, please try to use the dynamic graph version of paddlepaddle