导入 tensorflow 没有名为 swish 的属性的 ktrain 时遇到错误

问题描述

导入 ktrain 时，出现以下错误：

AttributeError: module 'tensorflow_core.keras.activations' has no attribute 'swish'

任何人都可以帮忙并告诉如何让它进行吗？ 在 google colab 上同样可以正常工作。

完全错误：

AttributeError                            Traceback (most recent call last)
<ipython-input-3-d851226d5f91> in <module>
----> 1 import ktrain
      2 from ktrain import text

~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/ktrain/__init__.py in <module>
      1 from .version import __version__
----> 2 from . import imports as I
      3 from .core import ArrayLearner,GenLearner,get_predictor,load_predictor,release_gpu_memory
      4 from .vision.learner import ImageClassLearner
      5 from .text.learner import BERTTextClassLearner,TransformerTextClassLearner

~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/ktrain/imports.py in <module>
    227 logging.getLogger("transformers").setLevel(logging.ERROR)
    228 try:
--> 229     import transformers
    230 except ImportError:
    231     warnings.warn("transformers not installed - needed by varIoUs models in 'text' module")

~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/transformers/__init__.py in <module>
    133 
    134 # Pipelines
--> 135 from .pipelines import (
    136     Conversation,137     ConversationalPipeline,~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/transformers/pipelines.py in <module>
     46     import tensorflow as tf
     47 
---> 48     from .modeling_tf_auto import (
     49         TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,50         TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/transformers/modeling_tf_auto.py in <module>
     49 from .configuration_utils import PretrainedConfig
     50 from .file_utils import add_start_docstrings
---> 51 from .modeling_tf_albert import (
     52     TFAlbertForMaskedLM,53     TFAlbertForMultipleChoice,~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/transformers/modeling_tf_albert.py in <module>
     22 import tensorflow as tf
     23 
---> 24 from .activations_tf import get_tf_activation
     25 from .configuration_albert import AlbertConfig
     26 from .file_utils import (

~/opt/anaconda3/envs/Anmol/lib/python3.7/site-packages/transformers/activations_tf.py in <module>
     52     "gelu": tf.keras.layers.Activation(gelu),53     "relu": tf.keras.activations.relu,---> 54     "swish": tf.keras.activations.swish,55     "silu": tf.keras.activations.swish,56     "gelu_new": tf.keras.layers.Activation(gelu_new),AttributeError: module 'tensorflow_core.keras.activations' has no attribute 'swish'  ```

解决方法

好的，所以使用 M1 的 Mac 存在一些问题。 按照以下步骤解决问题： (https://github.com/apple/tensorflow_macos/issues/48)

• Anaconda 启动新环境卸载tensorflow & tensorboard 如果存在

• 将 x86_64 文件夹中的所有文件从 11_0 重命名为 10_16。

• 示例：tensorflow_macos-0.1a0-cp38-cp38-macosx_10_16_x86_64.whl

在 Conda 控制台中运行下面的“用户名”替换为您的用户名：

• pip install pip wheel setuptools 缓存属性六
• pip 安装 "/Users/username/Downloads/tensorflow_macos/x86_64/grpcio-1.33.2-cp38-cp38-macosx_10_16_x86_64.whl"
• pip 安装 “/Users/username/Downloads/tensorflow_macos/x86_64/h5py-2.10.0-cp38-cp38-macosx_10_16_x86_64.whl”
• pip 安装 "/Users/username/Downloads/tensorflow_macos/x86_64/numpy-1.18.5-cp38-cp38-macosx_10_16_x86_64.whl"
• pip 安装 "/Users/username/Downloads/tensorflow_macos/x86_64/scipy-1.5.4-cp38-cp38-macosx_10_16_x86_64.whl"
• pip 安装 "/Users/username/Downloads/tensorflow_macos/x86_64/tensorflow_addons-0.11.2+mlcompute-cp38-cp38-macosx_10_16_x86_64.whl"
• pip install absl-py astunparse flatbuffers gast google_pasta keras_preprocessing opt_einsum protobuf tensorflow_estimator termcolor Typing_extensions wrapt 轮张量板打字机
• pip 安装 "/Users/username/Downloads/tensorflow_macos/x86_64/tensorflow_macos-0.1a0-cp38-cp38-macosx_10_16_x86_64.whl"

,

检查您用于 Tensorflow（和转换器）的版本。您可以在 GitHub 中查看此问题： https://github.com/amaiya/ktrain/issues/255

我使用 ktrain==0.25.4 和 tensorflow==2.4.1，一切正常。