Witllm/rwkv/RWKV-v7/cuda/wkv7s.cu

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#include <stdio.h>
#include <assert.h>
#include "ATen/ATen.h"
typedef at::Half bf16;
// typedef at::BFloat16 bf16;
template <typename F>
__global__ void kernel_forward(const int B, const int T, const int C, const int H,
float *__restrict__ _state, const F *__restrict__ const _r, const F *__restrict__ const _w, const F *__restrict__ const _k, const F *__restrict__ const _v, const F *__restrict__ const _a, const F *__restrict__ const _b,
F *__restrict__ const _y)
{
const int e = blockIdx.x / H;
const int h = blockIdx.x % H;
const int i = threadIdx.x;
_state += h*_N_*_N_ + i*_N_; // wrong if B > 1 !!!
float state[_N_];
#pragma unroll
for (int j = 0; j < _N_; j++)
state[j] = _state[j];
__shared__ float r[_N_], k[_N_], w[_N_], a[_N_], b[_N_];
for (int _t = 0; _t < T; _t++)
{
const int t = e*T*C + h*_N_ + i + _t * C;
__syncthreads();
r[i] = float(_r[t]);
w[i] = __expf(-__expf(float(_w[t])));
k[i] = float(_k[t]);
a[i] = float(_a[t]);
b[i] = float(_b[t]);
__syncthreads();
float sa = 0;
#pragma unroll
for (int j = 0; j < _N_; j++)
{
sa += a[j] * state[j];
}
float vv = float(_v[t]);
float y = 0;
#pragma unroll
for (int j = 0; j < _N_; j++)
{
float& s = state[j];
s = s * w[j] + k[j] * vv + sa * b[j];
y += s * r[j];
}
_y[t] = F(y);
}
#pragma unroll
for (int j = 0; j < _N_; j++)
_state[j] = state[j];
}
void cuda_forward(int B, int T, int C, int H, float *state, bf16 *r, bf16* w, bf16 *k, bf16 *v, bf16 *a, bf16 *b, bf16 *y)
{
assert(H*_N_ == C);
assert(B == 1); // only for B=1
kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, w, k, v, a, b, y);
}