Instructions to use kernels-community/rwkv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/rwkv with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/rwkv") - Notebooks
- Google Colab
- Kaggle
| typedef at::BFloat16 bf16; | |
| void cuda_forward(int B, int T, int C, float *w, float *u, float *k, float *v, float *y); | |
| void cuda_forward_bf16(int B, int T, int C, float *w, bf16 *u, bf16 *k, bf16 *v, bf16 *y); | |
| void cuda_forward_with_state(int B, int T, int C, float *w, float *u, float *k, float *v, float *y, float *s); | |
| void cuda_forward_with_state_bf16(int B, int T, int C, float *w, bf16 *u, bf16 *k, bf16 *v, bf16 *y, float *s); | |
| void cuda_backward(int B, int T, int C, float *w, float *u, float *k, float *v, float *y, float *gy, float *gw, float *gu, float *gk, float *gv); | |
| void cuda_backward_bf16(int B, int T, int C, float *w, bf16 *u, bf16 *k, bf16 *v, bf16 *y, bf16 *gy, bf16 *gw, bf16 *gu, bf16 *gk, bf16 *gv); | |
| void forward(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_forward(B, T, C, w.data_ptr<float>(), u.data_ptr<float>(), k.data_ptr<float>(), v.data_ptr<float>(), y.data_ptr<float>()); | |
| } | |
| void forward_bf16(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_forward_bf16(B, T, C, w.data_ptr<float>(), u.data_ptr<bf16>(), k.data_ptr<bf16>(), v.data_ptr<bf16>(), y.data_ptr<bf16>()); | |
| } | |
| void forward_with_state(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y, torch::Tensor &s) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_forward_with_state(B, T, C, w.data_ptr<float>(), u.data_ptr<float>(), k.data_ptr<float>(), v.data_ptr<float>(), y.data_ptr<float>(), s.data_ptr<float>()); | |
| } | |
| void forward_with_state_bf16(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y, torch::Tensor &s) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_forward_with_state_bf16(B, T, C, w.data_ptr<float>(), u.data_ptr<bf16>(), k.data_ptr<bf16>(), v.data_ptr<bf16>(), y.data_ptr<bf16>(), s.data_ptr<float>()); | |
| } | |
| void backward(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y, torch::Tensor &gy, torch::Tensor &gw, torch::Tensor &gu, torch::Tensor &gk, torch::Tensor &gv) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_backward(B, T, C, w.data_ptr<float>(), u.data_ptr<float>(), k.data_ptr<float>(), v.data_ptr<float>(), y.data_ptr<float>(), gy.data_ptr<float>(), gw.data_ptr<float>(), gu.data_ptr<float>(), gk.data_ptr<float>(), gv.data_ptr<float>()); | |
| } | |
| void backward_bf16(torch::Tensor &w, torch::Tensor &u, torch::Tensor &k, torch::Tensor &v, torch::Tensor &y, torch::Tensor &gy, torch::Tensor &gw, torch::Tensor &gu, torch::Tensor &gk, torch::Tensor &gv) { | |
| const int B = k.size(0); | |
| const int T = k.size(1); | |
| const int C = k.size(2); | |
| cuda_backward_bf16(B, T, C, w.data_ptr<float>(), u.data_ptr<bf16>(), k.data_ptr<bf16>(), v.data_ptr<bf16>(), y.data_ptr<bf16>(), | |
| gy.data_ptr<bf16>(), gw.data_ptr<bf16>(), gu.data_ptr<bf16>(), gk.data_ptr<bf16>(), gv.data_ptr<bf16>()); | |
| } | |
| TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) { | |
| ops.def("forward", forward); | |
| ops.impl("forward", torch::kCUDA, &forward); | |
| ops.def("forward_bf16", forward_bf16); | |
| ops.impl("forward_bf16", torch::kCUDA, &forward_bf16); | |
| ops.def("forward_with_state", forward_with_state); | |
| ops.impl("forward_with_state", torch::kCUDA, &forward_with_state); | |
| ops.def("forward_with_state_bf16", forward_with_state_bf16); | |
| ops.impl("forward_with_state_bf16", torch::kCUDA, &forward_with_state_bf16); | |
| ops.def("backward", backward); | |
| ops.impl("backward", torch::kCUDA, &backward); | |
| ops.def("backward_bf16", backward_bf16); | |
| ops.impl("backward_bf16", torch::kCUDA, &backward_bf16); | |
| } | |
| REGISTER_EXTENSION(TORCH_EXTENSION_NAME) |