Toby Roseman

We have a large number of graph pass optimizations. When a model gets optimized, it's not clear which passes actually get applied (i.e. change the MIL graph). We should have...

Code: ```python import coremltools as ct m = ct.models.MLModel("", skip_model_load=True) m.get_compiled_model_path() ``` Outputs: ``` ----> 1 m.get_compiled_model_path() File ~/miniforge3/envs/prod/lib/python3.8/site-packages/coremltools/models/model.py:528, in MLModel.get_compiled_model_path(self) 520 def get_compiled_model_path(self): 521 """ 522 Returns the path...

## 🐞Describing the bug ```python import coremltools as ct import torch import torch.nn.functional as F class Model(torch.nn.Module): def __init__(self, window_size=3): super().__init__() self.window_size = window_size def forward(self, image): _, ixs =...