Instructions to use replicate/flashinfer-draft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/flashinfer-draft with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("replicate/flashinfer-draft") - Notebooks
- Google Colab
- Kaggle
| // at::Tensor BatchDecodeWithPagedKVCachePlan_swa_false( | |
| // at::Tensor float_workspace_buffer, | |
| // at::Tensor int_workspace_buffer, | |
| // at::Tensor page_locked_int_workspace_buffer, | |
| // at::Tensor indptr, | |
| // int64_t batch_size, | |
| // int64_t num_qo_heads, | |
| // int64_t num_kv_heads, | |
| // int64_t page_size, | |
| // bool enable_cuda_graph, | |
| // int64_t window_left, | |
| // double logits_soft_cap, | |
| // int64_t head_dim_qk, | |
| // int64_t head_dim_vo, | |
| // at::Tensor empty_q_data, | |
| // at::Tensor empty_kv_data | |
| // ); | |
| // void BatchDecodeWithPagedKVCacheRun_swa_false( | |
| // at::Tensor float_workspace_buffer, | |
| // at::Tensor int_workspace_buffer, | |
| // at::Tensor plan_info_vec, | |
| // at::Tensor q, | |
| // at::Tensor paged_k_cache, | |
| // at::Tensor paged_v_cache, | |
| // at::Tensor paged_kv_indptr, | |
| // at::Tensor paged_kv_indices, | |
| // at::Tensor paged_kv_last_page_len, | |
| // at::Tensor o, | |
| // std::optional<at::Tensor> maybe_lse, | |
| // int64_t kv_layout_code, | |
| // int64_t window_left, | |
| // bool enable_pdl, | |
| // std::optional<at::Tensor> maybe_alibi_slopes, | |
| // double logits_soft_cap, | |
| // double sm_scale, | |
| // double rope_rcp_scale, | |
| // double rope_rcp_theta | |
| // ); | |
| // at::Tensor BatchDecodeWithPagedKVCachePlan_swa_true( | |
| // at::Tensor float_workspace_buffer, | |
| // at::Tensor int_workspace_buffer, | |
| // at::Tensor page_locked_int_workspace_buffer, | |
| // at::Tensor indptr, | |
| // int64_t batch_size, | |
| // int64_t num_qo_heads, | |
| // int64_t num_kv_heads, | |
| // int64_t page_size, | |
| // bool enable_cuda_graph, | |
| // int64_t window_left, | |
| // double logits_soft_cap, | |
| // int64_t head_dim_qk, | |
| // int64_t head_dim_vo, | |
| // at::Tensor empty_q_data, | |
| // at::Tensor empty_kv_data | |
| // ); | |
| // void BatchDecodeWithPagedKVCacheRun_swa_true( | |
| // at::Tensor float_workspace_buffer, | |
| // at::Tensor int_workspace_buffer, | |
| // at::Tensor plan_info_vec, | |
| // at::Tensor q, | |
| // at::Tensor paged_k_cache, | |
| // at::Tensor paged_v_cache, | |
| // at::Tensor paged_kv_indptr, | |
| // at::Tensor paged_kv_indices, | |
| // at::Tensor paged_kv_last_page_len, | |
| // at::Tensor o, | |
| // std::optional<at::Tensor> maybe_lse, | |
| // int64_t kv_layout_code, | |
| // int64_t window_left, | |
| // bool enable_pdl, | |
| // std::optional<at::Tensor> maybe_alibi_slopes, | |
| // double logits_soft_cap, | |
| // double sm_scale, | |
| // double rope_rcp_scale, | |
| // double rope_rcp_theta | |
| // ); | |
| void gelu_and_mul( | |
| at::Tensor& out, | |
| at::Tensor& input, | |
| bool enable_pdl | |
| ); | |
| void gelu_tanh_and_mul( | |
| at::Tensor& out, | |
| at::Tensor& input, | |
| bool enable_pdl | |
| ); | |
| void silu_and_mul( | |
| at::Tensor& out, | |
| at::Tensor& input, | |
| bool enable_pdl | |
| ); |