HIT-liyihao
commented
6 months ago 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
shiyutang
问题确认 Search before asking
请提出你的问题 Please ask your question
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