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fused_rotary_positional_embedding.h
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fused_rotary_positional_embedding.h
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/* coding=utf-8
* Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http:https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <c10/macros/Macros.h>
#include <cuda_runtime.h>
#include <torch/extension.h>
namespace {
template <typename scalar_t>
__global__ void fused_rope_forward(const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t* src,
const float* freqs,
scalar_t* dst)
{
int s_id = blockIdx.x, b_id = blockIdx.y;
int offset_block = s_id * stride_s + b_id * stride_b;
int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b;
#pragma unroll
for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) {
float v_cos, v_sin;
sincosf(freqs[s_id * d2 + d_id], &v_sin, &v_cos);
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_src = offset_block + h_id * stride_h + d_id * stride_d;
int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d;
scalar_t v_src = src[offset_src];
scalar_t v_src_rotate = (d_id + d2 / 2 < d2)
? -src[offset_src + (d2 / 2) * stride_d]
: src[offset_src + (d2 / 2 - d2) * stride_d];
dst[offset_dst] = v_src * (scalar_t)v_cos + v_src_rotate * (scalar_t)v_sin;
}
}
// copy the rest
if (d > d2) {
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_head = offset_block + h_id * stride_h;
int offset_head_dst = offset_block_dst + h_id * o_stride_h;
#pragma unroll
for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) {
dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d];
}
}
}
}
template <typename scalar_t>
__global__ void fused_rope_backward(const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t* src,
const float* freqs,
scalar_t* dst)
{
int s_id = blockIdx.x, b_id = blockIdx.y;
int offset_block = s_id * stride_s + b_id * stride_b;
int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b;
#pragma unroll
for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) {
scalar_t v_cos = cosf(freqs[s_id * d2 + d_id]);
scalar_t v_sin = (d_id + d2 / 2 < d2) ? sinf(freqs[s_id * d2 + d_id + d2 / 2])
: -sinf(freqs[s_id * d2 + d_id + d2 / 2 - d2]);
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_src = offset_block + h_id * stride_h + d_id * stride_d;
int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d;
scalar_t v_src = src[offset_src];
scalar_t v_src_rotate = (d_id + d2 / 2 < d2)
? src[offset_src + (d2 / 2) * stride_d]
: src[offset_src + (d2 / 2 - d2) * stride_d];
dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin;
}
}
// handle the tail
if (d > d2) {
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_head = offset_block + h_id * stride_h;
int offset_head_dst = offset_block_dst + h_id * o_stride_h;
#pragma unroll
for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) {
dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d];
}
}
}
}
template <typename scalar_t_0, typename scalar_t_1>
__global__ void fused_rope_cached_forward(const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t_0* src,
const scalar_t_1* cos,
const scalar_t_1* sin,
scalar_t_0* dst)
{
int s_id = blockIdx.x, b_id = blockIdx.y;
int offset_block = s_id * stride_s + b_id * stride_b;
int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b;
#pragma unroll
for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) {
scalar_t_0 v_cos = cos[s_id * d2 + d_id];
scalar_t_0 v_sin = sin[s_id * d2 + d_id];
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_src = offset_block + h_id * stride_h + d_id * stride_d;
int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d;
scalar_t_0 v_src = src[offset_src];
scalar_t_0 v_src_rotate = (d_id + d2 / 2 < d2)
? -src[offset_src + (d2 / 2) * stride_d]
: src[offset_src + (d2 / 2 - d2) * stride_d];
dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin;
}
}
// copy the rest
if (d > d2) {
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_head = offset_block + h_id * stride_h;
int offset_head_dst = offset_block_dst + h_id * o_stride_h;
#pragma unroll
for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) {
dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d];
}
}
}
}
template <typename scalar_t_0, typename scalar_t_1>
__global__ void fused_rope_cached_backward(const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t_0* src,
const scalar_t_1* cos,
const scalar_t_1* sin,
scalar_t_0* dst)
{
int s_id = blockIdx.x, b_id = blockIdx.y;
int offset_block = s_id * stride_s + b_id * stride_b;
int offset_block_dst = s_id * o_stride_s + b_id * o_stride_b;
#pragma unroll
for (int d_id = threadIdx.x; d_id < d2; d_id += blockDim.x) {
scalar_t_0 v_cos = cos[s_id * d2 + d_id];
scalar_t_0 v_sin = (d_id + d2 / 2 < d2) ? sin[s_id * d2 + d_id + d2 / 2]
: -sin[s_id * d2 + d_id + d2 / 2 - d2];
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_src = offset_block + h_id * stride_h + d_id * stride_d;
int offset_dst = offset_block_dst + h_id * o_stride_h + d_id * o_stride_d;
scalar_t_0 v_src = src[offset_src];
scalar_t_0 v_src_rotate = (d_id + d2 / 2 < d2)
? src[offset_src + (d2 / 2) * stride_d]
: src[offset_src + (d2 / 2 - d2) * stride_d];
dst[offset_dst] = v_src * v_cos + v_src_rotate * v_sin;
}
}
// handle the tail
if (d > d2) {
#pragma unroll
for (int h_id = threadIdx.y; h_id < h; h_id += blockDim.y) {
int offset_head = offset_block + h_id * stride_h;
int offset_head_dst = offset_block_dst + h_id * o_stride_h;
#pragma unroll
for (int d_id = d2 + threadIdx.x; d_id < d; d_id += blockDim.x) {
dst[offset_head_dst + d_id * o_stride_d] = src[offset_head + d_id * stride_d];
}
}
}
}
} // end of anonymous namespace
template <typename scalar_t>
void dispatch_fused_rope_forward(const int s,
const int b,
const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t* input,
const float* freqs,
scalar_t* output)
{
auto stream = at::cuda::getCurrentCUDAStream();
int warps_per_block = h < 16 ? 4 : 8;
dim3 blocks(s, b);
dim3 threads(C10_WARP_SIZE, warps_per_block);
fused_rope_forward<<<blocks, threads, 0, stream>>>(h,
d,
d2,
stride_s,
stride_b,
stride_h,
stride_d,
o_stride_s,
o_stride_b,
o_stride_h,
o_stride_d,
input,
freqs,
output);
C10_CUDA_KERNEL_LAUNCH_CHECK();
}
template <typename scalar_t>
void dispatch_fused_rope_backward(const int s,
const int b,
const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t* output_grads,
const float* freqs,
scalar_t* input_grads)
{
auto stream = at::cuda::getCurrentCUDAStream();
int warps_per_block = h < 16 ? 4 : 8;
dim3 blocks(s, b);
dim3 threads(C10_WARP_SIZE, warps_per_block);
fused_rope_backward<<<blocks, threads, 0, stream>>>(h,
d,
d2,
stride_s,
stride_b,
stride_h,
stride_d,
o_stride_s,
o_stride_b,
o_stride_h,
o_stride_d,
output_grads,
freqs,
input_grads);
C10_CUDA_KERNEL_LAUNCH_CHECK();
}
template <typename scalar_t_0, typename scalar_t_1>
void dispatch_fused_rope_cached_forward(const int s,
const int b,
const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t_0* input,
const scalar_t_1* cos,
const scalar_t_1* sin,
scalar_t_0* output)
{
auto stream = at::cuda::getCurrentCUDAStream();
int warps_per_block = h < 16 ? 4 : 8;
dim3 blocks(s, b);
dim3 threads(C10_WARP_SIZE, warps_per_block);
fused_rope_cached_forward<<<blocks, threads, 0, stream>>>(h,
d,
d2,
stride_s,
stride_b,
stride_h,
stride_d,
o_stride_s,
o_stride_b,
o_stride_h,
o_stride_d,
input,
cos,
sin,
output);
C10_CUDA_KERNEL_LAUNCH_CHECK();
}
template <typename scalar_t_0, typename scalar_t_1>
void dispatch_fused_rope_cached_backward(const int s,
const int b,
const int h,
const int d,
const int d2,
const int stride_s,
const int stride_b,
const int stride_h,
const int stride_d,
const int o_stride_s,
const int o_stride_b,
const int o_stride_h,
const int o_stride_d,
const scalar_t_0* output_grads,
const scalar_t_1* cos,
const scalar_t_1* sin,
scalar_t_0* input_grads)
{
auto stream = at::cuda::getCurrentCUDAStream();
int warps_per_block = h < 16 ? 4 : 8;
dim3 blocks(s, b);
dim3 threads(C10_WARP_SIZE, warps_per_block);
fused_rope_cached_backward<<<blocks, threads, 0, stream>>>(h,
d,
d2,
stride_s,
stride_b,
stride_h,
stride_d,
o_stride_s,
o_stride_b,
o_stride_h,
o_stride_d,
output_grads,
cos,
sin,
input_grads);
C10_CUDA_KERNEL_LAUNCH_CHECK();
}