upd Bloom _prepare_attn_mask()

src/petals/models/bloom/block.py

@@ -6,6 +6,7 @@ See commit history for authorship.
 from typing import Optional, Tuple
 
 import torch
+from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_mask
 from transformers.models.bloom.modeling_bloom import BloomBlock, BloomModel, build_alibi_tensor
 
 
@@ -26,7 +27,13 @@ class WrappedBloomBlock(BloomBlock):
         attention_mask = torch.ones((batch_size, seq_length_with_past), device=hidden_states.device)
         if alibi is None:
             alibi = build_alibi_tensor(attention_mask, num_heads=self.num_heads, dtype=hidden_states.dtype)
-        attention_mask = BloomModel._prepare_attn_mask(None, attention_mask, (batch_size, seq_length), past_length)
+        fake_inputs_embeds = torch.tensor([42], dtype=torch.float32)
+        attention_mask = _prepare_4d_causal_attention_mask(
+            attention_mask=attention_mask,
+            input_shape=(batch_size, seq_length),
+            inputs_embeds=fake_inputs_embeds,
+            past_key_values_length=past_length,
+        )
         return super().forward(
             hidden_states, *args, attention_mask=attention_mask, alibi=alibi, layer_past=layer_past, **kwargs
         )