File size: 8,404 Bytes
fc57957 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 |
#include <torch/all.h>
#include <torch/python.h>
#include <c10/cuda/CUDAGuard.h>
// adapted from https://github.com/PanQiWei/AutoGPTQ/blob/main/autogptq_extension/cuda_256/autogptq_cuda_256.cpp
void vecquant8matmul_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros,
torch::Tensor g_idx
);
void vecquant8matmul(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros,
torch::Tensor g_idx
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_cuda(vec, mat, mul, scales, zeros, g_idx);
}
void vecquant8matmul_batched_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_column_compression_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_column_compression(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_column_compression_cuda(vec, mat, mul, scales, zeros);
}
void vecquant4matmul_batched_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant4matmul_batched(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant4matmul_batched_cuda(vec, mat, mul, scales, zeros);
}
void vecquant4matmul_batched_column_compression_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant4matmul_batched_column_compression(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant4matmul_batched_column_compression_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_old_cuda(vec, mat, mul, scales, zeros);
}
void vecquant4matmul_batched_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant4matmul_batched_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant4matmul_batched_old_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_column_compression_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_column_compression_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_column_compression_old_cuda(vec, mat, mul, scales, zeros);
}
void vecquant4matmul_batched_column_compression_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant4matmul_batched_column_compression_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant4matmul_batched_column_compression_old_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_faster_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_faster(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_faster_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_faster_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_faster_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_faster_old_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_column_compression_faster_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_column_compression_faster(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_column_compression_faster_cuda(vec, mat, mul, scales, zeros);
}
void vecquant8matmul_batched_column_compression_faster_old_cuda(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
);
void vecquant8matmul_batched_column_compression_faster_old(
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
torch::Tensor scales, torch::Tensor zeros
) {
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
vecquant8matmul_batched_column_compression_faster_old_cuda(vec, mat, mul, scales, zeros);
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("vecquant8matmul", &vecquant8matmul, "Vector 8-bit Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant8matmul_batched", &vecquant8matmul_batched, "Vector 8-bit Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant8matmul_batched_old", &vecquant8matmul_batched_old, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant8matmul_batched_faster", &vecquant8matmul_batched_faster, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant8matmul_batched_faster_old", &vecquant8matmul_batched_faster_old, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant4matmul_batched_old", &vecquant4matmul_batched_old, "Vector 4-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant8matmul_batched_column_compression", &vecquant8matmul_batched_column_compression, "Vector 8-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
m.def("vecquant8matmul_batched_column_compression_old", &vecquant8matmul_batched_column_compression_old, "Vector old 8-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
m.def("vecquant8matmul_batched_column_compression_faster", &vecquant8matmul_batched_column_compression_faster, "Vector old 8-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
m.def("vecquant8matmul_batched_column_compression_faster_old", &vecquant8matmul_batched_column_compression_faster_old, "Vector old 8-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
m.def("vecquant4matmul_batched_column_compression_old", &vecquant4matmul_batched_column_compression_old, "Vector old 4-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
m.def("vecquant4matmul_batched", &vecquant4matmul_batched, "Vector 4-bit Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
m.def("vecquant4matmul_batched_column_compression", &vecquant4matmul_batched_column_compression, "Vector 4-bit Batched Quantized Matrix Multiplication (CUDA) with weight's column compressed (desc_act)");
}
|