[1/2] Add rope kernel in sgl-kernel (#14334)

This commit is contained in:
Qiaolin Yu
2025-12-04 16:45:44 +08:00
committed by GitHub
parent e3ab23c1a6
commit cb8df87fc1
8 changed files with 293 additions and 12 deletions
+31 -8
View File
@@ -7,6 +7,7 @@ from sgl_kernel.testing.rotary_embedding import (
FlashInferRotaryEmbedding,
MHATokenToKVPool,
RotaryEmbedding,
SglKernelRotaryEmbedding,
create_inputs,
)
@@ -80,7 +81,7 @@ def test_correctness(
rope_ref = RotaryEmbedding(**config).to(device)
rope_flashinfer = FlashInferRotaryEmbedding(**config).to(device)
rope_sglkernel = SglKernelRotaryEmbedding(**config).to(device)
inputs = create_inputs(
head_size=head_size,
batch_size=batch_size,
@@ -92,19 +93,27 @@ def test_correctness(
)
if save_kv_cache:
pool_ref = MHATokenToKVPool(head_num=num_kv_heads, head_dim=head_size)
pool_ref_for_flashinfer = MHATokenToKVPool(
head_num=num_kv_heads, head_dim=head_size
)
pool_flashinfer = MHATokenToKVPool(head_num=num_kv_heads, head_dim=head_size)
query_ref, key_ref = inputs["query"].clone(), inputs["key"].clone()
query_flashinfer, key_flashinfer = inputs["query"].clone(), inputs["key"].clone()
query_sglkernel, key_sglkernel = inputs["query"].clone(), inputs["key"].clone()
query_ref_out, key_ref_out = rope_ref.forward_native(
# This is to align with the flashinfer implementation, flashinfer uses float32 cos/sin cache
query_ref_for_flashinfer_out, key_ref_for_flashinfer_out = rope_ref.forward_native(
inputs["pos_ids"], query_ref.to(torch.float32), key_ref.to(torch.float32)
)
query_ref_for_sglkernel_out, key_ref_for_sglkernel_out = rope_ref.forward_native(
inputs["pos_ids"], query_ref, key_ref
)
if save_kv_cache:
pool_ref.set_kv_buffer(
pool_ref_for_flashinfer.set_kv_buffer(
loc=inputs["out_cache_loc"],
cache_k=key_ref_out.view(-1, num_kv_heads, head_size),
cache_k=key_ref_for_flashinfer_out.view(-1, num_kv_heads, head_size),
cache_v=inputs["value"].view(-1, num_kv_heads, head_size),
)
@@ -126,13 +135,27 @@ def test_correctness(
),
)
query_sglkernel_out, key_sglkernel_out = rope_sglkernel.forward_cuda(
inputs["pos_ids"],
query_sglkernel,
key_sglkernel,
)
torch.testing.assert_close(
query_ref_out, query_flashinfer_out, atol=1e-2, rtol=1e-2
query_ref_for_flashinfer_out, query_flashinfer_out, atol=1e-2, rtol=1e-2
)
torch.testing.assert_close(
key_ref_for_flashinfer_out, key_flashinfer_out, atol=1e-2, rtol=1e-2
)
torch.testing.assert_close(
query_ref_for_sglkernel_out, query_sglkernel_out, atol=1e-2, rtol=1e-2
)
torch.testing.assert_close(
key_ref_for_sglkernel_out, key_sglkernel_out, atol=1e-2, rtol=1e-2
)
torch.testing.assert_close(key_ref_out, key_flashinfer_out, atol=1e-2, rtol=1e-2)
if save_kv_cache:
for field in ["k_buffer", "v_buffer"]:
x_ref = getattr(pool_ref, field)[0]
x_ref = getattr(pool_ref_for_flashinfer, field)[0]
x_flashinfer = getattr(pool_flashinfer, field)[0]
torch.testing.assert_close(x_ref, x_flashinfer, atol=1e-2, rtol=1e-2)
nonzero_ref = x_ref != 0