Spaces:
Running
on
T4
Running
on
T4
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>()); | |
} | |
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { | |
m.def("forward", &forward, "wkv forward"); | |
m.def("forward_bf16", &forward_bf16, "wkv forward bf16"); | |
m.def("forward_with_state", &forward_with_state, "wkv forward with state"); | |
m.def("forward_with_state_bf16", &forward_with_state_bf16, "wkv forward with state bf16"); | |
m.def("backward", &backward, "wkv backward"); | |
m.def("backward_bf16", &backward_bf16, "wkv backward bf16"); | |
} | |
TORCH_LIBRARY(wkv, m) { | |
m.def("forward", forward); | |
m.def("forward_bf16", forward_bf16); | |
m.def("forward_with_state", forward_with_state); | |
m.def("forward_with_state_bf16", forward_with_state_bf16); | |
m.def("backward", backward); | |
m.def("backward_bf16", backward_bf16); | |
} | |