88 lines
2.7 KiB
Plaintext
88 lines
2.7 KiB
Plaintext
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#include <stdio.h>
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#include <assert.h>
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#include "ATen/ATen.h"
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typedef at::BFloat16 bf16;
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typedef at::Half fp16;
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typedef float fp32;
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template <typename F>
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__global__ void kernel_forward(const int B, const int T, const int C, const int H, float *__restrict__ _state,
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const F *__restrict__ const _r, const F *__restrict__ const _k, const F *__restrict__ const _v, const float *__restrict__ _w, const F *__restrict__ _u,
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F *__restrict__ const _y)
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{
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const int b = blockIdx.x / H;
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const int h = blockIdx.x % H;
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const int i = threadIdx.x;
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_u += h*_N_;
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_state += h*_N_*_N_ + i*_N_; // wrong if B > 1 !!!
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__shared__ float r[_N_], k[_N_], u[_N_], w[_N_];
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float state[_N_];
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#pragma unroll
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for (int j = 0; j < _N_; j++)
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state[j] = _state[j];
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__syncthreads();
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u[i] = float(_u[i]);
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__syncthreads();
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for (int t = b*T*C + h*_N_ + i; t < (b+1)*T*C + h*_N_ + i; t += C)
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{
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__syncthreads();
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w[i] = _w[t];
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r[i] = float(_r[t]);
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k[i] = float(_k[t]);
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__syncthreads();
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const float v = float(_v[t]);
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float y = 0;
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#pragma unroll
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for (int j = 0; j < _N_; j+=4)
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{
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const float4& r_ = (float4&)(r[j]);
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const float4& k_ = (float4&)(k[j]);
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const float4& w_ = (float4&)(w[j]);
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const float4& u_ = (float4&)(u[j]);
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float4& s = (float4&)(state[j]);
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float4 x;
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x.x = k_.x * v;
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x.y = k_.y * v;
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x.z = k_.z * v;
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x.w = k_.w * v;
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y += r_.x * (u_.x * x.x + s.x);
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y += r_.y * (u_.y * x.y + s.y);
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y += r_.z * (u_.z * x.z + s.z);
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y += r_.w * (u_.w * x.w + s.w);
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s.x = s.x * w_.x + x.x;
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s.y = s.y * w_.y + x.y;
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s.z = s.z * w_.z + x.z;
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s.w = s.w * w_.w + x.w;
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}
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_y[t] = F(y);
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}
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#pragma unroll
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for (int j = 0; j < _N_; j++)
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_state[j] = state[j];
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}
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void cuda_forward_bf16(int B, int T, int C, int H, float *state, bf16 *r, bf16 *k, bf16 *v, float *w, bf16 *u, bf16 *y)
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{
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assert(H*_N_ == C);
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kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
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}
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void cuda_forward_fp16(int B, int T, int C, int H, float *state, fp16 *r, fp16 *k, fp16 *v, float *w, fp16 *u, fp16 *y)
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{
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assert(H*_N_ == C);
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kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
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}
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void cuda_forward_fp32(int B, int T, int C, int H, float *state, fp32 *r, fp32 *k, fp32 *v, float *w, fp32 *u, fp32 *y)
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{
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assert(H*_N_ == C);
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kernel_forward<<<dim3(B * H), dim3(_N_)>>>(B, T, C, H, state, r, k, v, w, u, y);
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}
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