Files
2026-07-13 13:18:33 +08:00

62 lines
1.9 KiB
Plaintext

// Copyright (c) Microsoft Corporation.
// SPDX-License-Identifier: Apache-2.0
// DeepSpeed Team
/*
DeepSpeed note, code taken & adapted from commit 9aa94789f13ada713af36cfd8cca2fc9a7f6b79a
https:github.com/ptillet/torch-blocksparse/blob/master/torch_blocksparse/softmax.py
*/
__global__ void softmax_bwd(TYPE * X __readonly __noalias __aligned(16),
float scale,
TYPE* DX __readonly __noalias __aligned(16),
int* LUT,
int sizemax,
long stride_zx __multipleof(BLOCK),
long stride_zdx __multipleof(BLOCK)) {
int pidhm = get_program_id(0);
int pidz = get_program_id(1);
// create index ranges
int rxm = pidhm % BLOCK;
int rbm = pidhm / BLOCK;
int rxn[TN] = (0 ... TN) % BLOCK;
int rbn[TN] = (0 ... TN) / BLOCK;
// extract information from look-up table
int* header = LUT + rbm * 2;
int size = *(header + 0);
int offset = *(header + 1);
// bounds checking on lut
bool check[TN] = rbn < size;
int rbmn[TN] = check ? rbn : size - 1;
// initialize pointers to block-sparse input
long blockid[TN] = *(LUT + offset + rbmn*4);
TYPE* px[TN] = X + pidz * stride_zx
+ blockid * BLOCK * BLOCK
+ rxm * BLOCK
+ rxn;
TYPE* pdx[TN] = DX + pidz * stride_zdx
+ blockid * BLOCK * BLOCK
+ rxm * BLOCK
+ rxn;
// compute fused softmax backward
TYPE x[TN] = check ? *px : 0;
TYPE dx[TN] = check ? *pdx : 0;
float Fdx[TN] = dx;
float Fx[TN] = x;
float Fxdx[TN] = Fdx*Fx;
float Fxdxsum = Fxdx[+];
float Fy[TN] = Fx * (Fdx - Fxdxsum) * scale;
TYPE y[TN] = Fy;
// write-back
*? (check)pdx = y;
}