glm_interleave for GLM-V

python/sglang/srt/layers/rotary_embedding/factory.py

@@ -171,6 +171,9 @@ def get_rope(
                     dtype,
                     mrope_section=rope_scaling["mrope_section"],
                     mrope_interleaved=rope_scaling.get("mrope_interleaved", False),
+                    mrope_interleaved_glm=rope_scaling.get(
+                        "mrope_interleaved_glm", False
+                    ),
                 )
             elif rope_scaling.get("use_fope", False):
                 rotary_emb = FourierRotaryEmbedding(

python/sglang/srt/layers/rotary_embedding/mrope.py

@@ -52,12 +52,14 @@ def __init__(
         dtype: torch.dtype,
         mrope_section: Optional[List[int]] = None,
         mrope_interleaved: bool = False,
+        mrope_interleaved_glm: bool = False,
     ) -> None:
         super().__init__(
             head_size, rotary_dim, max_position_embeddings, base, is_neox_style, dtype
         )
         self.mrope_section = mrope_section
         self.mrope_interleaved = mrope_interleaved
+        self.mrope_interleaved_glm = mrope_interleaved_glm
         if self.mrope_section:
             expected_sum = rotary_dim // 2
             actual_sum = sum(self.mrope_section)
@@ -86,6 +88,37 @@ def __init__(
                     f"Corrected mrope_section: {self.mrope_section} (sum={sum(self.mrope_section)})"
                 )
 
+        # MRoPE axis_map interleaving pattern depends on mrope_section sizes.
+        # The algorithm cycles through axes [0(T), 1(H), 2(W)] round-robin,
+        # skipping any axis that has exhausted its allocated pairs.
+        #
+        # For GLM-V (mrope_section=[8,12,12]):
+        #   T(8) < H(12) = W(12), so T exhausts first at pair 24.
+        #   Result: [0,1,2, 0,1,2, 0,1,2, 0,1,2, 0,1,2, 0,1,2, 0,1,2, 0,1,2, 1,1,2, 1,1,2, 2,2]
+        #   After T runs out, only H and W fill the remaining slots.
+        #
+        # For Qwen3-VL (mrope_section=[24,20,20]):
+        #   T(24) > H(20) = W(20), so H and W exhaust first near the tail.
+        #   Result: [0,1,2, 0,1,2, ...repeated evenly..., 0,1, 0,1, 0,0]
+        #   After H/W run out, T fills the remaining slots.
+
+        if self.mrope_interleaved_glm:
+            num_pairs = rotary_dim // 2
+            axis_map = torch.empty(num_pairs, dtype=torch.long)
+            assert sum(self.mrope_section) == num_pairs
+            counts = [0, 0, 0]
+            current_ax = 0
+
+            for i in range(num_pairs):
+                current_ax = i % 3
+                while counts[current_ax] >= self.mrope_section[current_ax]:
+                    current_ax = (current_ax + 1) % 3
+
+                axis_map[i] = current_ax
+                counts[current_ax] += 1
+            self.register_buffer("axis_map", axis_map, persistent=False)
+        else:
+            self.axis_map = None
         if get_global_server_args().rl_on_policy_target is not None:
             self._forward_method = self.forward_native
 
@@ -214,7 +247,9 @@ def forward_triton(
             self.head_size,
             self.rotary_dim,
             self.mrope_interleaved,
+            self.mrope_interleaved_glm,
             self.is_neox_style,
+            self.axis_map,
         )
         return query, key
 

python/sglang/srt/layers/rotary_embedding/triton_kernels.py

@@ -29,7 +29,9 @@ def _triton_mrope_forward_fused(
     mrope_section_h: tl.constexpr,
     mrope_section_w: tl.constexpr,
     is_interleaved: tl.constexpr,
+    is_interleaved_glm: tl.constexpr,
     is_neox_style: tl.constexpr,
+    axis_map_ptr,
 ):
     pid = tl.program_id(0)
     q_ptr = q_ptr + pid * q_stride
@@ -46,9 +48,15 @@ def _triton_mrope_forward_fused(
     w_sin = w_cos + half_rd
     cos_offsets = tl.arange(0, pad_hd // 2)
     if is_interleaved:
-        h_mask = ((cos_offsets % 3) == 1) & (cos_offsets <= 3 * mrope_section_h)
-        w_mask = ((cos_offsets % 3) == 2) & (cos_offsets <= 3 * mrope_section_w)
-        t_mask = ~(h_mask | w_mask)
+        if is_interleaved_glm:
+            axes = tl.load(axis_map_ptr + cos_offsets, mask=cos_offsets < (pad_hd // 2))
+            t_mask = axes == 0
+            h_mask = axes == 1
+            w_mask = axes == 2
+        else:
+            h_mask = ((cos_offsets % 3) == 1) & (cos_offsets <= 3 * mrope_section_h)
+            w_mask = ((cos_offsets % 3) == 2) & (cos_offsets <= 3 * mrope_section_w)
+            t_mask = ~(h_mask | w_mask)
     else:
         t_end = mrope_section_t
         h_end = t_end + mrope_section_h
@@ -109,7 +117,9 @@ def triton_mrope_fused(
     head_size: int,
     rotary_dim: int,
     mrope_interleaved: bool,
+    mrope_interleaved_glm: bool,
     is_neox_style: bool,
+    axis_map: torch.Tensor,
 ) -> None:
     num_tokens, n_q_dim = q.shape
     n_k_dim = k.shape[1]
@@ -137,7 +147,9 @@ def triton_mrope_fused(
         mrope_section[1],
         mrope_section[2],
         mrope_interleaved,
+        mrope_interleaved_glm,
         is_neox_style,
+        axis_map,
     )