Added sorting option for sentences during encoding

sonar/inference_pipelines/text.py

@@ -143,6 +143,7 @@ def predict(
         max_seq_len: Optional[int] = None,
         progress_bar: bool = False,
         target_device: Optional[Device] = None,
+        sort_sent: bool = True,
     ) -> torch.Tensor:
         """
         Transform the input texts (from a list of strings or from a text file) into a matrix of their embeddings.
@@ -165,13 +166,19 @@ def truncate(x: torch.Tensor) -> torch.Tensor:
                 nonlocal n_truncated
                 n_truncated += 1
             return x[:max_seq_len]
+
+        def sort_input(input_sent: Iterable[str]) -> Iterable[str]:
+            return sorted(input_sent, key=len) if sort_sent else input_sent
+
+        if isinstance(input, (str, Path)):
+            input_sent = read_text(input)
+        else:
+            input_sent = read_sequence(input)
+
+        sorted_input_sent = sort_input(input_sent=input_sent)
 
         pipeline: Iterable = (
-            (
-                read_text(input)
-                if isinstance(input, (str, Path))
-                else read_sequence(input)
-            )
+            sorted_input_sent
             .map(tokenizer_encoder)
             .map(truncate)
             .bucket(batch_size)