Merge pull request #180 from stanfordnlp/zen/blip_fix

[Minor] Updating the import to bypass blip in case of failure

Author: frankaging

pyvene/models/intervenable_modelcard.py

@@ -23,12 +23,18 @@
 """
 
 import transformers.models as hf_models
-from .blip.modelings_blip import BlipWrapper
-from .blip.modelings_blip_itm import BlipITMWrapper
 from .mlp.modelings_mlp import MLPModel, MLPForClassification
 from .gru.modelings_gru import GRUModel, GRULMHeadModel, GRUForClassification
 from .backpack_gpt2.modelings_backpack_gpt2 import BackpackGPT2LMHeadModel
 
+enable_blip = True
+try:
+    from .blip.modelings_blip import BlipWrapper
+    from .blip.modelings_blip_itm import BlipITMWrapper
+except:
+    print("Failed to import blip model, skipping.")
+    enable_blip = False
+
 global type_to_module_mapping
 global type_to_dimension_mapping
 global output_to_subcomponent_fn_mapping
@@ -54,8 +60,6 @@
     hf_models.gemma.modeling_gemma.GemmaForSequenceClassification: gemma_classifier_type_to_module_mapping,
     hf_models.blip.modeling_blip.BlipForQuestionAnswering: blip_type_to_module_mapping,
     hf_models.blip.modeling_blip.BlipForImageTextRetrieval: blip_itm_type_to_module_mapping,
-    BlipWrapper: blip_wrapper_type_to_module_mapping,
-    BlipITMWrapper: blip_itm_wrapper_type_to_module_mapping,
     MLPModel: mlp_type_to_module_mapping,
     MLPForClassification: mlp_classifier_type_to_module_mapping,
     GRUModel: gru_type_to_module_mapping,
@@ -64,7 +68,9 @@
     BackpackGPT2LMHeadModel: backpack_gpt2_lm_type_to_module_mapping,
     # new model type goes here after defining the model files
 }
-
+if enable_blip:
+    type_to_module_mapping[BlipWrapper] = blip_wrapper_type_to_module_mapping
+    type_to_module_mapping[BlipITMWrapper] = blip_wrapper_type_to_module_mapping
 
 type_to_dimension_mapping = {
     hf_models.gpt2.modeling_gpt2.GPT2Model: gpt2_type_to_dimension_mapping,
@@ -85,8 +91,6 @@
     hf_models.gemma.modeling_gemma.GemmaForSequenceClassification: gemma_classifier_type_to_dimension_mapping,
     hf_models.blip.modeling_blip.BlipForQuestionAnswering: blip_type_to_dimension_mapping,
     hf_models.blip.modeling_blip.BlipForImageTextRetrieval: blip_itm_type_to_dimension_mapping,
-    BlipWrapper: blip_wrapper_type_to_dimension_mapping,
-    BlipITMWrapper: blip_itm_wrapper_type_to_dimension_mapping,
     MLPModel: mlp_type_to_dimension_mapping,
     MLPForClassification: mlp_classifier_type_to_dimension_mapping,
     GRUModel: gru_type_to_dimension_mapping,
@@ -95,4 +99,7 @@
     BackpackGPT2LMHeadModel: backpack_gpt2_lm_type_to_dimension_mapping,
     # new model type goes here after defining the model files
 }
+if enable_blip:
+    type_to_dimension_mapping[BlipWrapper] = blip_wrapper_type_to_dimension_mapping
+    type_to_dimension_mapping[BlipITMWrapper] = blip_itm_wrapper_type_to_dimension_mapping
 #########################################################################

setup.py

@@ -10,7 +10,7 @@
 
 setup(
     name="pyvene",
-    version="0.1.3",
+    version="0.1.4",
     description="Use Activation Intervention to Interpret Causal Mechanism of Model",
     long_description=long_description,
     long_description_content_type='text/markdown',