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//
// Copyright (C) 2023-2024 The ggml authors
// Copyright (C) 2024 Iwan Kawrakow
// MIT license
// SPDX-License-Identifier: MIT
//
#include "concat.cuh"
// contiguous kernels
static __global__ void concat_f32_dim0(const float * x, const float * y, float * dst, const int64_t ne0, const int64_t ne00) {
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
int offset_dst =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
if (nidx < ne00) { // src0
int offset_src =
nidx +
blockIdx.y * ne00 +
blockIdx.z * ne00 * gridDim.y;
dst[offset_dst] = x[offset_src];
} else {
int offset_src =
(nidx - ne00) +
blockIdx.y * (ne0 - ne00) +
blockIdx.z * (ne0 - ne00) * gridDim.y;
dst[offset_dst] = y[offset_src];
}
}
// contiguous kernels
static __global__ void concat_f32_dim0(const float * x, const float * y, float * dst, const int64_t ne0, const int64_t ne00,
int64_t nb02, int64_t nb12, int64_t nb2) {
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
int offset_dst =
nidx +
blockIdx.y * ne0 +
blockIdx.z * nb2;
if (nidx < ne00) { // src0
int offset_src =
nidx +
blockIdx.y * ne00 +
blockIdx.z * nb02;
dst[offset_dst] = x[offset_src];
} else {
int offset_src =
(nidx - ne00) +
blockIdx.y * (ne0 - ne00) +
blockIdx.z * nb12;
dst[offset_dst] = y[offset_src];
}
}
static __global__ void concat_f32_dim1(const float * x, const float * y, float * dst, const int64_t ne0, const int64_t ne01) {
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
int offset_dst =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
if (blockIdx.y < ne01) { // src0
int offset_src =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * ne01;
dst[offset_dst] = x[offset_src];
} else {
int offset_src =
nidx +
(blockIdx.y - ne01) * ne0 +
blockIdx.z * ne0 * (gridDim.y - ne01);
dst[offset_dst] = y[offset_src];
}
}
static __global__ void concat_f32_dim2(const float * x, const float * y, float * dst, const int64_t ne0, const int64_t ne02) {
int nidx = threadIdx.x + blockIdx.x * blockDim.x;
if (nidx >= ne0) {
return;
}
int offset_dst =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
if (blockIdx.z < ne02) { // src0
int offset_src =
nidx +
blockIdx.y * ne0 +
blockIdx.z * ne0 * gridDim.y;
dst[offset_dst] = x[offset_src];
} else {
int offset_src =
nidx +
blockIdx.y * ne0 +
(blockIdx.z - ne02) * ne0 * gridDim.y;
dst[offset_dst] = y[offset_src];
}
}
static void concat_f32_cuda(const float * x, const float * y, float * dst, int ne00, int ne01, int ne02, int ne0, int ne1, int ne2, int dim, cudaStream_t stream) {
int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
if (dim == 0 && ne1 >= 65536) {
int64_t nstep = (ne1 + 32767)/32768;
for (int64_t istep = 0; istep < nstep; ++istep) {
int64_t i1 = 32768*istep;
int64_t n1 = i1 + 32768 <= ne1 ? 32768 : ne1 - i1;
dim3 gridDim(num_blocks, n1, ne2);
const float * xi = x + i1*ne00;
const float * yi = y + i1*(ne0 - ne00);
float * dst_i = dst + i1*ne0;
concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(xi, yi, dst_i, ne0, ne00, ne00*ne01, (ne0-ne00)*ne01, ne0*ne1);
}
return;
}
dim3 gridDim(num_blocks, ne1, ne2);
if (dim == 0) {
concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne00);
//concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne00, ne00*ne01, (ne0-ne00)*ne01, ne0*ne1);
return;
}
if (dim == 1) {
concat_f32_dim1<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne01);
return;
}
concat_f32_dim2<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
}
// non-contiguous kernel (slow)
static __global__ void concat_f32_non_cont(
const char * src0,
const char * src1,
char * dst,
int64_t ne00,
int64_t ne01,
int64_t ne02,
int64_t ne03,
uint64_t nb00,
uint64_t nb01,
uint64_t nb02,
uint64_t nb03,
int64_t /*ne10*/,
int64_t /*ne11*/,
int64_t /*ne12*/,
int64_t /*ne13*/,
uint64_t nb10,
uint64_t nb11,
uint64_t nb12,
uint64_t nb13,
int64_t ne0,
int64_t /*ne1*/,
int64_t /*ne2*/,
int64_t /*ne3*/,
uint64_t nb0,
uint64_t nb1,
uint64_t nb2,
uint64_t nb3,
int32_t dim) {
const int64_t i3 = blockIdx.z;
const int64_t i2 = blockIdx.y;
const int64_t i1 = blockIdx.x;
int64_t o[4] = {0, 0, 0, 0};
o[dim] = dim == 0 ? ne00 : (dim == 1 ? ne01 : (dim == 2 ? ne02 : ne03));
const float * x;
for (int i0 = threadIdx.x; i0 < ne0; i0 += blockDim.x) {
if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) {
x = (const float *)(src0 + (i3 )*nb03 + (i2 )*nb02 + (i1 )*nb01 + (i0 )*nb00);
} else {
x = (const float *)(src1 + (i3 - o[3])*nb13 + (i2 - o[2])*nb12 + (i1 - o[1])*nb11 + (i0 - o[0])*nb10);
}
float * y = (float *)(dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
*y = *x;
}
}
void ggml_cuda_op_concat(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
const ggml_tensor * src1 = dst->src[1];
GGML_ASSERT(src0->type == src1->type && src0->type == dst->type);
cudaStream_t stream = ctx.stream();
const int32_t dim = ((int32_t *) dst->op_params)[0];
if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1) &&
(dim == 3 || (dim == 2 && dst->ne[3] == 1) || (dim == 1 && dst->ne[2]*dst->ne[3] == 1))) {
const size_t size0 = ggml_nbytes(src0);
const size_t size1 = ggml_nbytes(src1);
CUDA_CHECK(cudaMemcpyAsync((char *)dst->data, src0->data, size0, cudaMemcpyDeviceToDevice, stream));
CUDA_CHECK(cudaMemcpyAsync((char *)dst->data + size0, src1->data, size1, cudaMemcpyDeviceToDevice, stream));
return;
}
if (dim == 0 && src0->nb[0] == ggml_type_size(src0->type) && src1->nb[0] == ggml_type_size(src1->type) &&
src0->nb[1] % sizeof(float) == 0 && src1->nb[1] % sizeof(float) == 0) {
auto bs = ggml_blck_size(dst->type);
auto ts = ggml_type_size(dst->type);
auto ne00_eff = (src0->ne[0]/bs)*ts/sizeof(float);
auto ne0_eff = (dst->ne[0]/bs)*ts/sizeof(float);
if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1)) {
//if (dst->ne[1] >= 65536 || dst->ne[2] >= 65536) {
// fprintf(stderr, "%s: ne1 = %ld, ne2 = %ld exceed max. blocks when computing %s\n", __func__, dst->ne[1], dst->ne[2], dst->name);
// GGML_ABORT("fatal error");
//}
const float * src0_d = (const float *)src0->data;
const float * src1_d = (const float *)src1->data;
float * dst_d = (float *)dst->data;
//printf("%s(%s, %s): %ld %zu %zu %ld %zu %zu\n", __func__, src0->name, src1->name, src0->ne[0], src0->nb[0], src0->nb[1], dst->ne[0], dst->nb[0], dst->nb[1]);
for (int i3 = 0; i3 < dst->ne[3]; i3++) {
concat_f32_cuda(
src0_d + i3 * (src0->nb[3] / 4),
src1_d + i3 * (src1->nb[3] / 4),
dst_d + i3 * ( dst->nb[3] / 4),
ne00_eff, src0->ne[1], src0->ne[2],
ne0_eff, dst->ne[1], dst->ne[2], dim, stream);
//src0->nb[1]/sizeof(float), src0->ne[1], src0->ne[2],
//dst->nb[1]/sizeof(float), dst->ne[1], dst->ne[2], dim, stream);
//src0->ne[0]*src0->nb[0]/sizeof(float), src0->ne[1], src0->ne[2],
//dst->ne[0]*dst->nb[0]/sizeof(float), dst->ne[1], dst->ne[2], dim, stream);
}
} else {
//printf("%s(not contiguous): %s(%s) and %s(%s)\n", __func__, src0->name, ggml_type_name(src0->type), src1->name, ggml_type_name(src1->type));
auto ne10_eff = (src1->ne[0]/bs)*ts/sizeof(float);
dim3 grid_dim(dst->ne[1], dst->ne[2], dst->ne[3]);
concat_f32_non_cont<<<grid_dim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(
(const char *)src0->data,
(const char *)src1->data,
( char *)dst->data,
ne00_eff, src0->ne[1], src0->ne[2], src0->ne[3],
//src0->ne[0]*src0->nb[0]/sizeof(float), src0->ne[1], src0->ne[2], src0->ne[3],
sizeof(float), src0->nb[1], src0->nb[2], src0->nb[3],
ne10_eff, src1->ne[1], src1->ne[2], src1->ne[3],
//src1->ne[0]*src1->nb[0]/sizeof(float), src1->ne[1], src1->ne[2], src1->ne[3],
sizeof(float), src1->nb[1], src1->nb[2], src1->nb[3],
ne0_eff, dst->ne[1], dst->ne[2], dst->ne[3],
//dst->ne[0]*dst->nb[0]/sizeof(float), dst->ne[1], dst->ne[2], dst->ne[3],
sizeof(float), dst->nb[1], dst->nb[2], dst->nb[3], dim);
}
return;
}
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT(dst->type == GGML_TYPE_F32);
if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1)) {
//if (dst->ne[1] >= 65536 || dst->ne[2] >= 65536) {
// fprintf(stderr, "%s: ne1 = %ld, ne2 = %ld exceed max. blocks when computing %s\n", __func__, dst->ne[1], dst->ne[2], dst->name);
// GGML_ABORT("fatal error");
//}
const float * src0_d = (const float *)src0->data;
const float * src1_d = (const float *)src1->data;
float * dst_d = (float *)dst->data;
for (int i3 = 0; i3 < dst->ne[3]; i3++) {
concat_f32_cuda(
src0_d + i3 * (src0->nb[3] / 4),
src1_d + i3 * (src1->nb[3] / 4),
dst_d + i3 * ( dst->nb[3] / 4),
src0->ne[0], src0->ne[1], src0->ne[2],
dst->ne[0], dst->ne[1], dst->ne[2], dim, stream);
}
} else {
dim3 grid_dim(dst->ne[1], dst->ne[2], dst->ne[3]);
concat_f32_non_cont<<<grid_dim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(
(const char *)src0->data,
(const char *)src1->data,
( char *)dst->data,
src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
src1->nb[0], src1->nb[1], src1->nb[2], src1->nb[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
dst->nb[0], dst->nb[1], dst->nb[2], dst->nb[3], dim);
}
}
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