fix: compress key always

conftest.py

@@ -155,6 +155,7 @@ def default_configuration():
         fhe_simulation=False,
         fhe_execution=True,
         compress_input_ciphertexts=os.environ.get("USE_INPUT_COMPRESSION", "1") == "1",
+        compress_eval_keys=True,
     )
 
 
@@ -173,6 +174,7 @@ def simulation_configuration():
         fhe_simulation=True,
         fhe_execution=False,
         compress_input_ciphertexts=os.environ.get("USE_INPUT_COMPRESSION", "1") == "1",
+        compress_eval_keys=True,
     )
 
 

docker/release_resources/sanity_check.py

@@ -75,6 +75,8 @@ def ml_check(args, keyring_dir_as_str):
         enable_unsafe_features=True,
         use_insecure_key_cache=is_fast,
         insecure_key_cache_location=keyring_dir_as_str,
+        compress_input_ciphertexts=True,
+        compress_eval_keys=True,
     )
 
     # We first compile the model with some data, here the training set
@@ -120,6 +122,8 @@ def function_to_compile(x):
         enable_unsafe_features=is_fast,
         use_insecure_key_cache=is_fast,
         insecure_key_cache_location=keyring_dir_as_str,
+        compress_input_ciphertexts=True,
+        compress_eval_keys=True,
     )
 
     print("Compiling...")

tests/torch/test_hybrid_converter.py

@@ -40,6 +40,8 @@ def run_hybrid_llm_test(
     # Multi-parameter strategy is used in order to speed-up the FHE executions
     configuration = Configuration(
         single_precision=False,
+        compress_input_ciphertexts=True,
+        compress_eval_keys=True,
     )
 
     # Create a hybrid model