chore: vendor sglang v0.5.10 snapshot

third_party/sglang/sgl-kernel/python/sgl_kernel/mamba.py

@@ -0,0 +1,120 @@
+from typing import Optional
+
+import torch
+
+
+# mamba
+def causal_conv1d_fwd(
+    x: torch.Tensor,
+    weight: torch.Tensor,
+    bias_: Optional[torch.Tensor],
+    conv_states: Optional[torch.Tensor],
+    query_start_loc: Optional[torch.Tensor],
+    cache_indices: Optional[torch.Tensor],
+    has_initial_state: Optional[torch.Tensor],
+    silu_activation: bool,
+    pad_slot_id: int,
+):
+    torch.ops.sgl_kernel.causal_conv1d_fwd(
+        x,
+        weight,
+        bias_,
+        conv_states,
+        query_start_loc,
+        cache_indices,
+        has_initial_state,
+        silu_activation,
+        pad_slot_id,
+    )
+
+
+def causal_conv1d_update(
+    x: torch.Tensor,
+    conv_state: torch.Tensor,
+    weight: torch.Tensor,
+    bias_: Optional[torch.Tensor],
+    silu_activation: bool,
+    cache_seqlens: Optional[torch.Tensor],
+    conv_state_indices: Optional[torch.Tensor],
+    pad_slot_id: int,
+):
+    torch.ops.sgl_kernel.causal_conv1d_update(
+        x,
+        conv_state,
+        weight,
+        bias_,
+        silu_activation,
+        cache_seqlens,
+        conv_state_indices,
+        pad_slot_id,
+    )
+
+
+def causal_conv1d_fn_cpu(
+    mixed_qkv_transposed,
+    conv_weights,
+    bias,
+    activation,
+    conv_states,
+    has_initial_state,
+    cache_indices,
+    query_start_loc,
+    seq_lens_cpu,
+):
+    return torch.ops.sgl_kernel.causal_conv1d_fwd_cpu(
+        mixed_qkv_transposed,
+        conv_weights,
+        bias,
+        conv_states,
+        query_start_loc,
+        cache_indices,
+        has_initial_state,
+        activation == "silu",
+        -1,
+        True,
+    )
+
+
+def causal_conv1d_update_cpu(
+    mixed_qkv, conv_states, conv_weights, bias, activation, conv_state_indices
+):
+    return torch.ops.sgl_kernel.causal_conv1d_update_cpu(
+        mixed_qkv,
+        conv_states,
+        conv_weights,
+        bias,
+        activation == "silu",
+        None,
+        conv_state_indices,
+        -1,
+        True,
+    )
+
+
+def chunk_gated_delta_rule_cpu(
+    q,
+    k,
+    v,
+    g,
+    beta,
+    initial_state,
+    cu_seqlens,
+    head_first,
+    use_qk_l2norm_in_kernel,
+):
+    core_attn_out, last_recurrent_state = (
+        torch.ops.sgl_kernel.chunk_gated_delta_rule_cpu(
+            q,
+            k,
+            v,
+            g,
+            beta,
+            initial_state,
+            True,  # output_final_state
+            cu_seqlens,
+            head_first,
+            use_qk_l2norm_in_kernel,
+        )
+    )
+    h = None  # Todo: add return h support
+    return core_attn_out, last_recurrent_state, h