TensorFlow是否支持M1 max？
TensorFlow是否支持M1 max？
提问于 2022-11-08 23:42:06
在我尝试在我的mac蒙特利12.6.1上开始使用TensorFlow时，我开始发现在我的mac迷你蒙特利12.6芯片M1 2020上没有观察到的错误
这要么是环境问题，要么是芯片组问题。在我的windows机器Win-11和Mac-Mini上工作。
代码：
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
from tensorflow.keras import layers
model = Sequential([layers.Input((3, 1)),
layers.LSTM(64),
layers.Dense(32, activation='relu'),
layers.Dense(32, activation='relu'),
layers.Dense(1)])
model.compile(loss='mse',
optimizer=Adam(learning_rate=0.001),
metrics=['mean_absolute_error'])
model.fit(X_train, y_train, validation_data=(X_val, y_val), epochs=100)在DataSpell中观察到的错误：
--------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xe回溯
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Input In [14], in <cell line: 1>()
----> 1 from tensorflow.keras.models import Sequential
2 from tensorflow.keras.optimizers import Adam
3 from tensorflow.keras import layers下面是Greg教程：https://www.youtube.com/watch?v=CbTU92pbDKw
注意，这段代码工作在我的machine机器上，而不是在MacBook Pro上。Anaconda env -> Python3.9
python --version
Python 3.9.12
conda list | grep tensorflow
tensorflow-deps 2.8.0 0 apple
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-macos 2.10.0 pypi_0 pypi
tensorflow-metal 0.6.0 pypi_0 pypi我期待的是类似的结果，如windows环境和Mac-mini，其中的模型是构建和安装的培训数据。(毫无例外地创建模型对象)
示例：
Epoch 99/100
7/7 [==============================] - 0s 5ms/step - loss: 6.1541 - mean_absolute_error: 1.8648 - val_loss: 9.5456 - val_mean_absolute_error: 2.6235
Epoch 100/100
7/7 [==============================] - 0s 5ms/step - loss: 6.7555 - mean_absolute_error: 2.0134 - val_loss: 9.4403 - val_mean_absolute_error: 2.6016
<keras.callbacks.History at 0x27a6590c6a0>在尝试numpy升级时，我做了"numpy升级“，但是终端上仍然有下面的输出，同样的异常仍然被观察到。
pip install numpy --upgrade
Requirement already satisfied: numpy in ./opt/anaconda3/lib/python3.9/site-packages (1.21.5)
Collecting numpy
Using cached numpy-1.23.4-cp39-cp39-macosx_11_0_arm64.whl (13.4 MB)
Installing collected packages: numpy
Attempting uninstall: numpy
Found existing installation: numpy 1.21.5
Uninstalling numpy-1.21.5:
Successfully uninstalled numpy-1.21.5
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
scipy 1.7.3 requires numpy<1.23.0,>=1.16.5, but you have numpy 1.23.4 which is incompatible.
numba 0.55.1 requires numpy<1.22,>=1.18, but you have numpy 1.23.4 which is incompatible.
Successfully installed numpy-1.23.4==================================
因此，多种方法的结合解决了这一问题：
- pip卸载角
- pip卸载keras-预处理
- pip卸载张紧板
- pip安装--升级numpy
- 如果步骤4不工作错误或有关警告，则pip卸载numpy；然后是pip install numpy。
- python安装tensorflow-macos来解决我的环境问题。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/74368411
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