[to #42322933]fix abs import

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9533526

modelscope/metrics/image_color_enhance_metric.py

@@ -6,8 +6,8 @@ from typing import Dict
 import cv2
 import numpy as np
 
-from ..metainfo import Metrics
-from ..utils.registry import default_group
+from modelscope.metainfo import Metrics
+from modelscope.utils.registry import default_group
 from .base import Metric
 from .builder import METRICS, MetricKeys
 

modelscope/models/audio/aec/network/se_net.py

@@ -2,10 +2,12 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-from ..layers.activations import RectifiedLinear, Sigmoid
-from ..layers.affine_transform import AffineTransform
-from ..layers.deep_fsmn import DeepFsmn
-from ..layers.uni_deep_fsmn import Conv2d, UniDeepFsmn
+from modelscope.models.audio.aec.layers.activations import (RectifiedLinear,
+                                                            Sigmoid)
+from modelscope.models.audio.aec.layers.affine_transform import AffineTransform
+from modelscope.models.audio.aec.layers.deep_fsmn import DeepFsmn
+from modelscope.models.audio.aec.layers.uni_deep_fsmn import (Conv2d,
+                                                              UniDeepFsmn)
 
 
 class MaskNet(nn.Module):

modelscope/models/base/base_head.py

@@ -1,12 +1,10 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
 from abc import ABC, abstractmethod
-from typing import Dict, List, Union
+from typing import Dict, Union
 
-import numpy as np
-
-from ...utils.config import ConfigDict
-from ...utils.logger import get_logger
-from .base_model import Model
+from modelscope.models.base.base_model import Model
+from modelscope.utils.config import ConfigDict
+from modelscope.utils.logger import get_logger
 
 logger = get_logger()
 

modelscope/models/base/base_torch_head.py

@@ -1,13 +1,10 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
-import os.path
-import re
-from typing import Dict, Optional, Union
+from typing import Dict
 
 import torch
-from torch import nn
 
-from ...utils.logger import get_logger
-from .base_head import Head
+from modelscope.models.base.base_head import Head
+from modelscope.utils.logger import get_logger
 
 logger = get_logger(__name__)
 

modelscope/models/cv/cartoon/facelib/LK/lk.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from ..config import config as cfg
+from modelscope.models.cv.cartoon.facelib.config import config as cfg
 
 
 class GroupTrack():

modelscope/models/multi_modal/ofa/generate/sequence_generator.py

@@ -12,8 +12,9 @@ import torch
 import torch.nn as nn
 from torch import Tensor
 
-from ..generate import search
-from .ngram_repeat_block import NGramRepeatBlock
+from modelscope.models.multi_modal.ofa.generate import search
+from modelscope.models.multi_modal.ofa.generate.ngram_repeat_block import \
+    NGramRepeatBlock
 
 
 def _expand_mask(mask: torch.Tensor,

modelscope/models/nlp/__init__.py

@@ -1,5 +1,5 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
-from ...utils.error import TENSORFLOW_IMPORT_WARNING
+from modelscope.utils.error import TENSORFLOW_IMPORT_WARNING
 from .backbones import *  # noqa F403
 from .bert_for_sequence_classification import *  # noqa F403
 from .heads import *  # noqa F403

modelscope/models/nlp/backbones/space/model/unified_transformer.py

@@ -5,9 +5,11 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-from ..modules.embedder import Embedder
-from ..modules.transformer_block import TransformerBlock
-from .model_base import SpaceModelBase
+from modelscope.models.nlp.backbones.space.model.model_base import \
+    SpaceModelBase
+from modelscope.models.nlp.backbones.space.modules.embedder import Embedder
+from modelscope.models.nlp.backbones.space.modules.transformer_block import \
+    TransformerBlock
 
 
 class UnifiedTransformer(SpaceModelBase):

modelscope/models/nlp/space_for_dialog_modeling.py

@@ -26,7 +26,7 @@ class SpaceForDialogModeling(Model):
         """
 
         super().__init__(model_dir, *args, **kwargs)
-        from ...trainers.nlp.space.trainer.gen_trainer import MultiWOZTrainer
+        from modelscope.trainers.nlp.space.trainer.gen_trainer import MultiWOZTrainer
         self.model_dir = model_dir
         self.config = kwargs.pop(
             'config',

modelscope/pipelines/cv/image_color_enhance_pipeline.py

@@ -1,9 +1,6 @@
 from typing import Any, Dict, Optional, Union
 
-import cv2
-import numpy as np
 import torch
-from PIL import Image
 from torchvision import transforms
 
 from modelscope.metainfo import Pipelines
@@ -11,13 +8,12 @@ from modelscope.models.base import Model
 from modelscope.models.cv.image_color_enhance.image_color_enhance import \
     ImageColorEnhance
 from modelscope.outputs import OutputKeys
-from modelscope.pipelines.base import Input
+from modelscope.pipelines.base import Input, Pipeline
+from modelscope.pipelines.builder import PIPELINES
 from modelscope.preprocessors import (ImageColorEnhanceFinetunePreprocessor,
-                                      LoadImage, load_image)
-from modelscope.utils.constant import ModelFile, Tasks
+                                      LoadImage)
+from modelscope.utils.constant import Tasks
 from modelscope.utils.logger import get_logger
-from ..base import Pipeline
-from ..builder import PIPELINES
 
 logger = get_logger()
 

modelscope/pipelines/cv/image_denoise_pipeline.py

@@ -1,21 +1,17 @@
 from typing import Any, Dict, Optional, Union
 
-import cv2
-import numpy as np
 import torch
-from PIL import Image
 from torchvision import transforms
 
 from modelscope.metainfo import Pipelines
 from modelscope.models import Model
 from modelscope.models.cv import NAFNetForImageDenoise
 from modelscope.outputs import OutputKeys
-from modelscope.pipelines.base import Input
+from modelscope.pipelines.base import Input, Pipeline
+from modelscope.pipelines.builder import PIPELINES
 from modelscope.preprocessors import ImageDenoisePreprocessor, LoadImage
 from modelscope.utils.constant import Tasks
 from modelscope.utils.logger import get_logger
-from ..base import Pipeline
-from ..builder import PIPELINES
 
 logger = get_logger()
 

modelscope/pipelines/cv/virtual_tryon_pipeline.py

@@ -13,10 +13,10 @@ from modelscope.hub.snapshot_download import snapshot_download
 from modelscope.metainfo import Pipelines
 from modelscope.models.cv.virual_tryon.sdafnet import SDAFNet_Tryon
 from modelscope.outputs import OutputKeys
+from modelscope.pipelines.base import Pipeline
+from modelscope.pipelines.builder import PIPELINES
 from modelscope.preprocessors import load_image
 from modelscope.utils.constant import ModelFile, Tasks
-from ..base import Pipeline
-from ..builder import PIPELINES
 
 
 @PIPELINES.register_module(

modelscope/pipelines/multi_modal/video_multi_modal_embedding_pipeline.py

@@ -1,13 +1,10 @@
 from typing import Any, Dict
 
-import torch
-
 from modelscope.metainfo import Pipelines
-from modelscope.pipelines.base import Input
+from modelscope.pipelines.base import Input, Pipeline
+from modelscope.pipelines.builder import PIPELINES
 from modelscope.utils.constant import Tasks
 from modelscope.utils.logger import get_logger
-from ..base import Model, Pipeline
-from ..builder import PIPELINES
 
 logger = get_logger()
 

modelscope/preprocessors/nlp.py

@@ -273,7 +273,7 @@ class FillMaskPreprocessor(NLPPreprocessorBase):
         super().__init__(model_dir, *args, **kwargs)
 
     def build_tokenizer(self, model_dir):
-        from ..utils.hub import get_model_type
+        from modelscope.utils.hub import get_model_type
         model_type = get_model_type(model_dir)
         if model_type in ['sbert', 'structbert', 'bert']:
             from sofa import SbertTokenizer

modelscope/preprocessors/space/dialog_intent_prediction_preprocessor.py

@@ -5,13 +5,14 @@ from typing import Any, Dict
 
 import json
 
-from ...metainfo import Preprocessors
-from ...utils.config import Config
-from ...utils.constant import Fields, ModelFile
-from ...utils.type_assert import type_assert
-from ..base import Preprocessor
-from ..builder import PREPROCESSORS
-from .fields.intent_field import IntentBPETextField
+from modelscope.metainfo import Preprocessors
+from modelscope.preprocessors.base import Preprocessor
+from modelscope.preprocessors.builder import PREPROCESSORS
+from modelscope.preprocessors.space.fields.intent_field import \
+    IntentBPETextField
+from modelscope.utils.config import Config
+from modelscope.utils.constant import Fields, ModelFile
+from modelscope.utils.type_assert import type_assert
 
 __all__ = ['DialogIntentPredictionPreprocessor']
 

modelscope/preprocessors/space/dialog_modeling_preprocessor.py

@@ -3,13 +3,14 @@
 import os
 from typing import Any, Dict
 
-from ...metainfo import Preprocessors
-from ...utils.config import Config
-from ...utils.constant import Fields, ModelFile
-from ...utils.type_assert import type_assert
-from ..base import Preprocessor
-from ..builder import PREPROCESSORS
-from .fields.gen_field import MultiWOZBPETextField
+from modelscope.metainfo import Preprocessors
+from modelscope.preprocessors.base import Preprocessor
+from modelscope.preprocessors.builder import PREPROCESSORS
+from modelscope.preprocessors.space.fields.gen_field import \
+    MultiWOZBPETextField
+from modelscope.utils.config import Config
+from modelscope.utils.constant import Fields, ModelFile
+from modelscope.utils.type_assert import type_assert
 
 __all__ = ['DialogModelingPreprocessor']
 

modelscope/preprocessors/space/dialog_state_tracking_preprocessor.py

@@ -1,13 +1,12 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
 
-import os
 from typing import Any, Dict
 
+from modelscope.metainfo import Preprocessors
+from modelscope.preprocessors.base import Preprocessor
+from modelscope.preprocessors.builder import PREPROCESSORS
 from modelscope.utils.constant import Fields
 from modelscope.utils.type_assert import type_assert
-from ...metainfo import Preprocessors
-from ..base import Preprocessor
-from ..builder import PREPROCESSORS
 from .dst_processors import convert_examples_to_features, multiwoz22Processor
 
 __all__ = ['DialogStateTrackingPreprocessor']

modelscope/preprocessors/space/fields/gen_field.py

@@ -7,11 +7,11 @@ from itertools import chain
 
 import numpy as np
 
-from ....utils.logger import get_logger
-from ....utils.nlp.space import ontology, utils
-from ....utils.nlp.space.db_ops import MultiWozDB
-from ....utils.nlp.space.utils import list2np
-from ..tokenizer import Tokenizer
+from modelscope.preprocessors.space.tokenizer import Tokenizer
+from modelscope.utils.logger import get_logger
+from modelscope.utils.nlp.space import ontology, utils
+from modelscope.utils.nlp.space.db_ops import MultiWozDB
+from modelscope.utils.nlp.space.utils import list2np
 
 logger = get_logger()
 

modelscope/preprocessors/space/fields/intent_field.py

@@ -13,10 +13,10 @@ import json
 import numpy as np
 from tqdm import tqdm
 
-from ....utils.nlp.space import ontology, utils
-from ....utils.nlp.space.scores import hierarchical_set_score
-from ....utils.nlp.space.utils import list2np
-from ..tokenizer import Tokenizer
+from modelscope.preprocessors.space.tokenizer import Tokenizer
+from modelscope.utils.nlp.space import ontology
+from modelscope.utils.nlp.space.scores import hierarchical_set_score
+from modelscope.utils.nlp.space.utils import list2np
 
 
 class BPETextField(object):

modelscope/trainers/hooks/logger/base.py

@@ -7,8 +7,8 @@ import numpy as np
 import torch
 
 from modelscope.trainers.hooks.hook import Hook
+from modelscope.trainers.hooks.priority import Priority
 from modelscope.utils.constant import ModeKeys
-from ..priority import Priority
 
 
 class LoggerHook(Hook):

modelscope/trainers/hooks/logger/text_logger_hook.py

@@ -8,10 +8,10 @@ import json
 import torch
 from torch import distributed as dist
 
+from modelscope.trainers.hooks.builder import HOOKS
+from modelscope.trainers.hooks.logger.base import LoggerHook
 from modelscope.utils.constant import LogKeys, ModeKeys
 from modelscope.utils.torch_utils import get_dist_info
-from ..builder import HOOKS
-from .base import LoggerHook
 
 
 @HOOKS.register_module()

modelscope/trainers/nlp/sequence_classification_trainer.py

@@ -3,9 +3,9 @@ from typing import Dict, Optional, Tuple, Union
 
 import numpy as np
 
+from modelscope.trainers.base import BaseTrainer
+from modelscope.trainers.builder import TRAINERS
 from modelscope.utils.logger import get_logger
-from ..base import BaseTrainer
-from ..builder import TRAINERS
 
 PATH = None
 logger = get_logger(PATH)

modelscope/trainers/nlp/space/trainer/gen_trainer.py

@@ -13,8 +13,9 @@ import torch
 from tqdm import tqdm
 from transformers.optimization import AdamW, get_linear_schedule_with_warmup
 
-from .....utils.nlp.space import ontology
-from ..metrics.metrics_tracker import MetricsTracker
+from modelscope.trainers.nlp.space.metrics.metrics_tracker import \
+    MetricsTracker
+from modelscope.utils.nlp.space import ontology
 
 
 def get_logger(log_path, name='default'):

modelscope/trainers/nlp/space/trainer/intent_trainer.py

@@ -14,7 +14,8 @@ import torch
 from tqdm import tqdm
 from transformers.optimization import AdamW, get_linear_schedule_with_warmup
 
-from ..metrics.metrics_tracker import MetricsTracker
+from modelscope.trainers.nlp.space.metrics.metrics_tracker import \
+    MetricsTracker
 
 
 def get_logger(log_path, name='default'):