Spaces:
Running
Running
Update neural_acoustic_distance.py
Browse files
neural_acoustic_distance.py
CHANGED
|
@@ -39,7 +39,7 @@ def compute_costs(gcm):
|
|
| 39 |
return res, n
|
| 40 |
|
| 41 |
|
| 42 |
-
|
| 43 |
def load_wav2vec2_featurizer(model_id: str, layer: Optional[int] = None):
|
| 44 |
transformers.logging.set_verbosity(transformers.logging.ERROR)
|
| 45 |
|
|
@@ -86,7 +86,7 @@ def load_wav2vec2_featurizer(model_id: str, layer: Optional[int] = None):
|
|
| 86 |
return _featurize
|
| 87 |
|
| 88 |
|
| 89 |
-
|
| 90 |
def run(model_id, layer, filename_x, filename_y):
|
| 91 |
featurizer = load_wav2vec2_featurizer(model_id, layer)
|
| 92 |
|
|
|
|
| 39 |
return res, n
|
| 40 |
|
| 41 |
|
| 42 |
+
@st.cache(show_spinner=False, hash_funcs={torch.nn.parameter.Parameter: lambda _: None}, max_entries=1)
|
| 43 |
def load_wav2vec2_featurizer(model_id: str, layer: Optional[int] = None):
|
| 44 |
transformers.logging.set_verbosity(transformers.logging.ERROR)
|
| 45 |
|
|
|
|
| 86 |
return _featurize
|
| 87 |
|
| 88 |
|
| 89 |
+
@st.cache(persist=True, show_spinner=False, max_entries=3)
|
| 90 |
def run(model_id, layer, filename_x, filename_y):
|
| 91 |
featurizer = load_wav2vec2_featurizer(model_id, layer)
|
| 92 |
|