mirror of https://github.com/hpcaitech/ColossalAI
69 lines
2.1 KiB
Plaintext
69 lines
2.1 KiB
Plaintext
#include <ATen/cuda/CUDAContext.h>
|
|
#include <torch/extension.h>
|
|
#include <stdio.h>
|
|
|
|
#include "../common/micros.h"
|
|
#include "../common/mp_type_traits.h"
|
|
|
|
template<typename T>
|
|
__device__ __forceinline__ T silu_kernel(const T& x) {
|
|
// x * sigmoid(x)
|
|
using MT = typename colossalAI::common::MPTypeTrait<T>::Type;
|
|
return static_cast<T>((static_cast<MT>(x)) / (static_cast<MT>(1.0f) + expf(static_cast<MT>(-x))));
|
|
}
|
|
|
|
template<typename scalar_t, scalar_t (*ACT_FN)(const scalar_t&)>
|
|
__global__ void act_and_mul_kernel(
|
|
const scalar_t* __restrict__ ins_data,
|
|
scalar_t* __restrict__ outs_data,
|
|
const int64_t numel) {
|
|
using MT = typename colossalAI::common::MPTypeTrait<scalar_t>::Type;
|
|
|
|
int64_t idx = static_cast<int64_t>(threadIdx.x) + static_cast<int64_t>(blockIdx.x) * static_cast<int64_t>(blockDim.x);
|
|
const int64_t grid_size = blockDim.x * gridDim.x;
|
|
if(idx > numel) {
|
|
return;
|
|
}
|
|
|
|
for(int64_t i = idx; i < numel; i += grid_size) {
|
|
scalar_t x = ins_data[i];
|
|
scalar_t y = ins_data[i+numel];
|
|
outs_data[i] = static_cast<scalar_t>(static_cast<MT>(ACT_FN(x)) * static_cast<MT>(y));
|
|
}
|
|
}
|
|
|
|
// Note(LiuYang):This func is designed for calculation mode like
|
|
// silu(x[:half_1stdim]) * (x[half_1stdim:])
|
|
torch::Tensor silu_and_mul(const torch::Tensor& ins)
|
|
{
|
|
auto ins_shape = ins.sizes().vec();
|
|
|
|
ins_shape[0] = ins_shape[0]/2;
|
|
if (ins_shape[0] == 1) {
|
|
ins_shape.erase(ins_shape.begin());
|
|
}
|
|
auto outs = torch::zeros(ins_shape,ins.options());
|
|
auto outs_shape = ins.sizes().vec();
|
|
|
|
const cudaStream_t stream = at::cuda::getCurrentCUDAStream();
|
|
|
|
// Note(Liuyang): numel of ins must be divisible by 2
|
|
int64_t numel = ((torch::numel(ins)) >> 1);
|
|
|
|
// TODO(LiuYang): Maybe we need to implement a function to get launch config
|
|
dim3 grid((numel+255)/256);
|
|
dim3 block(256);
|
|
|
|
DISPATCH_FLOAT_HALF_AND_BFLOAT(
|
|
ins.scalar_type(),
|
|
"silu_and_mul",
|
|
act_and_mul_kernel<scalar_t,silu_kernel<scalar_t>><<<grid, block, 0, stream>>>(
|
|
ins.data_ptr<scalar_t>(),
|
|
outs.data_ptr<scalar_t>(),
|
|
numel
|
|
);)
|
|
|
|
AT_CUDA_CHECK(cudaGetLastError());
|
|
return outs;
|
|
}
|