Modify State Dict Before Loading
Problem Statement
Modify a state dict by renaming keys before loading into a model with different naming conventions.
Background
When loading weights from a model with different layer names, you may need to rename keys in the state dict to match the target model.
Your Task
The starter code creates model_old (layer1, layer2) and model_new (fc1, fc2). Rename the keys in the old model's state dict to match the new model's naming conventions, then load it.
The loading and verification code is pre-filled.
Output Format
Returns a dictionary with "old_keys", "new_keys", "weights_match", and "load_success".
Example
Input
None
Output
{'old_keys': ['layer1.weight', 'layer1.bias', 'layer2.weight', 'layer2.bias'], 'new_keys': ['fc1.weight', 'fc1.bias', 'fc2.weight', 'fc2.bias'], 'weights_match': True, 'load_success': True}Reasoning
- The function
modify_state_dict_test()starts by creating two models,model_oldandmodel_new, with different layer names. - It then retrieves the state dictionary from
model_old, which contains keys like'layer1.weight'and'layer2.bias', and renames them to match the layer names inmodel_new, resulting in keys like'fc1.weight'and'fc2.bias'. - The renamed state dictionary is loaded into
model_new, and the function checks if the weights offc1inmodel_newmatch the original weights oflayer1inmodel_old, which they do since the renaming and loading were successful. - The function returns a dictionary containing the original state dictionary keys, the renamed keys, a boolean indicating whether the weights match, and a boolean indicating whether the loading was successful, resulting in the given sample output.
Constraints
- Rename keys by string replacement
- Load modified state dict into new model
- Verify weights transferred correctly