如何在Tensorflow 2.8上使用多个模型

Question

您是否推荐如何在

Tensorflow 1.14上使用多个型号进行Tensorflow 2.8。我可以按范围进行特定的模型

with graph.as_default():
    K.set_session(session)
    model.predict(input)

，但是在Tensorflow 2.8上，我不知道如何使用多个型号

。

更新 我的问题很困惑，

我通过功能性api tensorflow和load_weights创建模型来建模 当我具体的模型预测时会有一些错误

File "/opt/homebrew/Caskroom/miniforge/base/envs/myenv/lib/python3.8/site-packages/keras/engine/training_v1.py", line 970, in predict
    return func.predict(
  File "/opt/homebrew/Caskroom/miniforge/base/envs/myenv/lib/python3.8/site-packages/keras/engine/training_arrays_v1.py", line 700, in predict
    return predict_loop(
  File "/opt/homebrew/Caskroom/miniforge/base/envs/myenv/lib/python3.8/site-packages/keras/engine/training_arrays_v1.py", line 377, in model_iteration
    batch_outs = f(ins_batch)
  File "/opt/homebrew/Caskroom/miniforge/base/envs/myenv/lib/python3.8/site-packages/keras/backend.py", line 4275, in __call__
    fetched = self._callable_fn(*array_vals,
  File "/opt/homebrew/Caskroom/miniforge/base/envs/myenv/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1480, in __call__
    ret = tf_session.TF_SessionRunCallable(self._session._session,
tensorflow.python.framework.errors_impl.FailedPreconditionError: 2 root error(s) found.
  (0) FAILED_PRECONDITION: Could not find variable conv2d_3/kernel. This could mean that the variable has been deleted. In TF1, it can also mean the variable is uninitialized. Debug info: container=localhost, status error message=Container localhost does not exist. (Could not find resource: localhost/conv2d_3/kernel)
         [[{{node conv2d_3/Conv2D/ReadVariableOp}}]]
         [[conv2d_7/Conv2D/ReadVariableOp/_19]]
  (1) FAILED_PRECONDITION: Could not find variable conv2d_3/kernel. This could mean that the variable has been deleted. In TF1, it can also mean the variable is uninitialized. Debug info: container=localhost, status error message=Container localhost does not exist. (Could not find resource: localhost/conv2d_3/kernel)
         [[{{node conv2d_3/Conv2D/ReadVariableOp}}]]
0 successful operations.
0 derived errors ignored.

Answer 1

我通过从MacBook（M1芯片）上的Run Run Conn在我的PC上进行的更改解决了我的

问题