import graph with a lower producer version or update graph to newer version
I am trying to get this old project running in the latest version of TensorFlow so I can start migrating it to v2. Before I replace each function I want to get it running the the v1 api @singersbalm To use the existing graph saved with the older TensorFlow version in your current session with a newer version. However, some functionality might be limited or compatibility issues might arise.
To do this, simply use the `import_graph_def `function with the `producer_version` argument explicitly set to the older version. We recommend you to use the latest TF version by referring to the migration . If you still have any concern on TF v1, please post the issue on TF [Forum](https://discuss.tensorflow.org/). Thank you! there is no producer_version argument in [import_graph_def](https://www.tensorflow.org/api_docs/python/tf/graph_util/import_graph_def). the import attribute is of type GraphDef and not a path @singersbalm  In order to expedite the trouble-shooting process, please provide the code snippet to reproduce the issue reported here. Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

2.15

### Custom code

Yes

### OS platform and distribution

macOS

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

can't restore because file structure changed. the .index file starts with CB1/ML/biases.

### Standalone code to reproduce the issue

```shell
restore = tf.train.import_meta_graph('./Train.meta')
restore.restore(self.sess, tf.train.latest_checkpoint('./'))
```


### Relevant log output

```shell
2024-01-20 15:40:22.083387: W tensorflow/core/common_runtime/graph_constructor.cc:1583] Importing a graph with a lower producer version 38 into an existing graph with producer version 1645. Shape inference will have run different parts of the graph with different producer versions.
2024-01-20 15:40:35.939842: W tensorflow/core/framework/op_kernel.cc:1839] OP_REQUIRES failed at save_restore_v2_ops.cc:233 : NOT_FOUND: Key CB1/ML/bias not found in checkpoint
```
