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feat: support huggingface transformer style rope interface #568

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merged 1 commit into from
Oct 29, 2024
Merged

feat: support huggingface transformer style rope interface #568

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39 changes: 23 additions & 16 deletions flashinfer-aot/csrc_aot/flashinfer_ops.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -61,10 +61,11 @@ torch::Tensor top_k_renorm_probs(torch::Tensor probs, std::optional<torch::Tenso
torch::Tensor top_k_mask_logits(torch::Tensor logits, std::optional<torch::Tensor> maybe_top_k_arr,
unsigned int top_k_val);

torch::Tensor chain_speculative_sampling(
torch::Tensor draft_probs, torch::Tensor draft_token_ids, torch::Tensor uniform_samples,
torch::Tensor target_probs, torch::Tensor output_accepted_token_num,
torch::Tensor output_emitted_token_num, bool deterministic);
torch::Tensor chain_speculative_sampling(torch::Tensor draft_probs, torch::Tensor draft_token_ids,
torch::Tensor uniform_samples, torch::Tensor target_probs,
torch::Tensor output_accepted_token_num,
torch::Tensor output_emitted_token_num,
bool deterministic);

void rmsnorm(torch::Tensor& out, torch::Tensor& input, torch::Tensor& weight, double eps);

Expand All @@ -82,24 +83,30 @@ void gelu_tanh_and_mul(torch::Tensor& out, torch::Tensor& input);

void gelu_and_mul(torch::Tensor& out, torch::Tensor& input);

void apply_rope_inplace(torch::Tensor q, torch::Tensor k, torch::Tensor indptr,
torch::Tensor offsets, bool interleave, float rope_scale, float rope_theta);

void apply_llama31_rope_inplace(torch::Tensor q, torch::Tensor k, torch::Tensor indptr,
torch::Tensor offsets, bool interleave, float rope_scale,
float rope_theta, float low_freq_factor, float high_freq_factor,
float old_context_length);

std::vector<torch::Tensor> apply_rope(torch::Tensor q, torch::Tensor k, torch::Tensor indptr,
std::vector<torch::Tensor> apply_rope(torch::Tensor q, torch::Tensor k, torch::Tensor q_rope,
torch::Tensor k_rope, torch::Tensor indptr,
torch::Tensor offsets, bool interleave, float rope_scale,
float rope_theta);

std::vector<torch::Tensor> apply_llama31_rope(torch::Tensor q, torch::Tensor k,
torch::Tensor q_rope, torch::Tensor k_rope,
torch::Tensor indptr, torch::Tensor offsets,
bool interleave, float rope_scale, float rope_theta,
float low_freq_factor, float high_freq_factor,
float old_context_length);

std::vector<torch::Tensor> apply_rope_pos_ids(torch::Tensor q, torch::Tensor k,
torch::Tensor q_rope, torch::Tensor k_rope,
torch::Tensor pos_ids, bool interleave,
float rope_scale, float rope_theta);

std::vector<torch::Tensor> apply_llama31_rope_pos_ids(torch::Tensor q, torch::Tensor k,
torch::Tensor q_rope, torch::Tensor k_rope,
torch::Tensor pos_ids, bool interleave,
float rope_scale, float rope_theta,
float low_freq_factor, float high_freq_factor,
float old_context_length);

torch::Tensor packbits(torch::Tensor x, const std::string& bitorder);

torch::Tensor segment_packbits(torch::Tensor x, torch::Tensor input_indptr,
Expand Down Expand Up @@ -141,11 +148,11 @@ PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("silu_and_mul", &silu_and_mul, "Fused SiLU and Mul");
m.def("gelu_tanh_and_mul", &gelu_tanh_and_mul, "Fused GeLU Tanh and Mul");
m.def("gelu_and_mul", &gelu_and_mul, "Fused GeLU and Mul");
m.def("apply_rope_inplace", &apply_rope_inplace, "Apply RoPE in-place");
m.def("apply_llama31_rope_inplace", &apply_llama31_rope_inplace,
"Apply Llama 3.1 style RoPE in-place");
m.def("apply_rope", &apply_rope, "Apply RoPE");
m.def("apply_llama31_rope", &apply_llama31_rope, "Apply Llama 3.1 style RoPE");
m.def("apply_rope_pos_ids", &apply_rope_pos_ids, "Apply RoPE with positional ids");
m.def("apply_llama31_rope_pos_ids", &apply_llama31_rope_pos_ids,
"Apply Llama 3.1 style RoPE with positional ids");
m.def("packbits", &packbits, "GPU packbits operator");
m.def("segment_packbits", &segment_packbits, "GPU segment packbits operator");
m.def("cutlass_segment_gemm", &CutlassSegmentGEMM, "Cutlass Segment GEMM operator");
Expand Down
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