causal flag for the transformer and setting correct flag for flex attention block mask creation

Author: lucidrains

native_sparse_attention_pytorch/transformer.py

@@ -68,6 +68,7 @@ def __init__(
         dim,
         dim_head = 64,
         heads = 8,
+        causal = True,
         kv_heads = None
     ):
         super().__init__()
@@ -78,6 +79,8 @@ def __init__(
         dim_inner = heads * dim_head
         dim_kv_inner = kv_heads * dim_head
 
+        self.causal = causal
+
         self.rotary_embed = RotaryEmbedding(dim_head)
 
         self.to_q = nn.Linear(dim, dim_inner, bias = False)
@@ -114,7 +117,7 @@ def forward(
 
         out = F.scaled_dot_product_attention(
             q, k, v,
-            is_causal = True
+            is_causal = self.causal
         )
 
         out = self.merge_heads(out)
@@ -146,6 +149,7 @@ def __init__(
         kv_heads = None,
         ff_expansion_factor = 4.,
         use_sparse_attn = False,
+        causal = True,
         use_flex_sliding_window = False,
         use_flex_fine_selection = False,
         use_triton_fine_selection = False,
@@ -164,6 +168,8 @@ def __init__(
         if use_flex_sliding_window or use_flex_fine_selection:
             assert exists(flex_attention), 'flex attention is not available on your current version of pytorch'
 
+        self.causal = causal
+
         self.use_sparse_attn = use_sparse_attn
         self.use_flex_sliding_window = use_sparse_attn & use_flex_sliding_window
         self.use_flex_fine_selection = use_sparse_attn & use_flex_fine_selection
@@ -177,6 +183,7 @@ def __init__(
                     dim_head = dim_head,
                     heads = heads,
                     kv_heads = kv_heads,
+                    causal = causal,
                     use_triton_kernel = use_triton_fine_selection,
                     **sparse_attn_kwargs
                 )
@@ -185,6 +192,7 @@ def __init__(
                     dim = dim,
                     dim_head = dim_head,
                     heads = heads,
+                    causal = causal,
                     kv_heads = kv_heads
                 )
 
@@ -275,12 +283,12 @@ def forward(
 
         if not disable_flex and self.use_flex_sliding_window:
             attn_kwargs.update(
-                sliding_window_flex_mask = create_sliding_mask(seq_len, self.attn_sliding_window_size)
+                sliding_window_flex_mask = create_sliding_mask(seq_len, self.attn_sliding_window_size, causal = self.causal)
             )
 
         if not disable_flex and self.use_flex_fine_selection:
             attn_kwargs.update(
-                fine_selection_flex_mask = create_fine_mask(seq_len, self.attn_fine_block_size)
+                fine_selection_flex_mask = create_fine_mask(seq_len, self.attn_fine_block_size, causal = self.causal)
             )
 
         # cache

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "native-sparse-attention-pytorch"
-version = "0.0.75"
+version = "0.0.76"
 description = "Native Sparse Attention"
 authors = [
     { name = "Phil Wang", email = "lucidrains@gmail.com" }