Upload ./cache_autogptq_cuda_256.cpp with huggingface_hub
Browse files- cache_autogptq_cuda_256.cpp +198 -0
cache_autogptq_cuda_256.cpp
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| 1 |
+
#include <torch/all.h>
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| 2 |
+
#include <torch/python.h>
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| 3 |
+
#include <c10/cuda/CUDAGuard.h>
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| 4 |
+
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| 5 |
+
// adapted from https://github.com/PanQiWei/AutoGPTQ/blob/main/autogptq_extension/cuda_256/autogptq_cuda_256.cpp
|
| 6 |
+
void vecquant8matmul_cuda(
|
| 7 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 8 |
+
torch::Tensor scales, torch::Tensor zeros,
|
| 9 |
+
torch::Tensor g_idx
|
| 10 |
+
);
|
| 11 |
+
|
| 12 |
+
void vecquant8matmul(
|
| 13 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
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| 14 |
+
torch::Tensor scales, torch::Tensor zeros,
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| 15 |
+
torch::Tensor g_idx
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| 16 |
+
) {
|
| 17 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
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| 18 |
+
vecquant8matmul_cuda(vec, mat, mul, scales, zeros, g_idx);
|
| 19 |
+
}
|
| 20 |
+
|
| 21 |
+
void vecquant8matmul_batched_cuda(
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| 22 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
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| 23 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 24 |
+
);
|
| 25 |
+
|
| 26 |
+
void vecquant8matmul_batched(
|
| 27 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 28 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 29 |
+
) {
|
| 30 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 31 |
+
vecquant8matmul_batched_cuda(vec, mat, mul, scales, zeros);
|
| 32 |
+
}
|
| 33 |
+
|
| 34 |
+
void vecquant8matmul_batched_column_compression_cuda(
|
| 35 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 36 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 37 |
+
);
|
| 38 |
+
|
| 39 |
+
void vecquant8matmul_batched_column_compression(
|
| 40 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 41 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 42 |
+
) {
|
| 43 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 44 |
+
vecquant8matmul_batched_column_compression_cuda(vec, mat, mul, scales, zeros);
|
| 45 |
+
}
|
| 46 |
+
|
| 47 |
+
void vecquant4matmul_batched_cuda(
|
| 48 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 49 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 50 |
+
);
|
| 51 |
+
|
| 52 |
+
void vecquant4matmul_batched(
|
| 53 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 54 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 55 |
+
) {
|
| 56 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 57 |
+
vecquant4matmul_batched_cuda(vec, mat, mul, scales, zeros);
|
| 58 |
+
}
|
| 59 |
+
|
| 60 |
+
void vecquant4matmul_batched_column_compression_cuda(
|
| 61 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 62 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 63 |
+
);
|
| 64 |
+
|
| 65 |
+
void vecquant4matmul_batched_column_compression(
|
| 66 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 67 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 68 |
+
) {
|
| 69 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 70 |
+
vecquant4matmul_batched_column_compression_cuda(vec, mat, mul, scales, zeros);
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
void vecquant8matmul_batched_old_cuda(
|
| 74 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 75 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 76 |
+
);
|
| 77 |
+
|
| 78 |
+
void vecquant8matmul_batched_old(
|
| 79 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 80 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 81 |
+
) {
|
| 82 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 83 |
+
vecquant8matmul_batched_old_cuda(vec, mat, mul, scales, zeros);
|
| 84 |
+
}
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
void vecquant4matmul_batched_old_cuda(
|
| 88 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 89 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 90 |
+
);
|
| 91 |
+
|
| 92 |
+
void vecquant4matmul_batched_old(
|
| 93 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 94 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 95 |
+
) {
|
| 96 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 97 |
+
vecquant4matmul_batched_old_cuda(vec, mat, mul, scales, zeros);
|
| 98 |
+
}
|
| 99 |
+
|
| 100 |
+
void vecquant8matmul_batched_column_compression_old_cuda(
|
| 101 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 102 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 103 |
+
);
|
| 104 |
+
|
| 105 |
+
void vecquant8matmul_batched_column_compression_old(
|
| 106 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 107 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 108 |
+
) {
|
| 109 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 110 |
+
vecquant8matmul_batched_column_compression_old_cuda(vec, mat, mul, scales, zeros);
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
void vecquant4matmul_batched_column_compression_old_cuda(
|
| 114 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 115 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 116 |
+
);
|
| 117 |
+
|
| 118 |
+
void vecquant4matmul_batched_column_compression_old(
|
| 119 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 120 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 121 |
+
) {
|
| 122 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 123 |
+
vecquant4matmul_batched_column_compression_old_cuda(vec, mat, mul, scales, zeros);
|
| 124 |
+
}
|
| 125 |
+
|
| 126 |
+
|
| 127 |
+
|
| 128 |
+
void vecquant8matmul_batched_faster_cuda(
|
| 129 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 130 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 131 |
+
);
|
| 132 |
+
|
| 133 |
+
void vecquant8matmul_batched_faster(
|
| 134 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 135 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 136 |
+
) {
|
| 137 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 138 |
+
vecquant8matmul_batched_faster_cuda(vec, mat, mul, scales, zeros);
|
| 139 |
+
}
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
void vecquant8matmul_batched_faster_old_cuda(
|
| 143 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 144 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 145 |
+
);
|
| 146 |
+
|
| 147 |
+
void vecquant8matmul_batched_faster_old(
|
| 148 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 149 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 150 |
+
) {
|
| 151 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 152 |
+
vecquant8matmul_batched_faster_old_cuda(vec, mat, mul, scales, zeros);
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
void vecquant8matmul_batched_column_compression_faster_cuda(
|
| 156 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 157 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 158 |
+
);
|
| 159 |
+
|
| 160 |
+
void vecquant8matmul_batched_column_compression_faster(
|
| 161 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 162 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 163 |
+
) {
|
| 164 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 165 |
+
vecquant8matmul_batched_column_compression_faster_cuda(vec, mat, mul, scales, zeros);
|
| 166 |
+
}
|
| 167 |
+
|
| 168 |
+
|
| 169 |
+
void vecquant8matmul_batched_column_compression_faster_old_cuda(
|
| 170 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 171 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 172 |
+
);
|
| 173 |
+
|
| 174 |
+
void vecquant8matmul_batched_column_compression_faster_old(
|
| 175 |
+
torch::Tensor vec, torch::Tensor mat, torch::Tensor mul,
|
| 176 |
+
torch::Tensor scales, torch::Tensor zeros
|
| 177 |
+
) {
|
| 178 |
+
const at::cuda::OptionalCUDAGuard device_guard(device_of(vec));
|
| 179 |
+
vecquant8matmul_batched_column_compression_faster_old_cuda(vec, mat, mul, scales, zeros);
|
| 180 |
+
}
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
|
| 185 |
+
m.def("vecquant8matmul", &vecquant8matmul, "Vector 8-bit Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 186 |
+
m.def("vecquant8matmul_batched", &vecquant8matmul_batched, "Vector 8-bit Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 187 |
+
m.def("vecquant8matmul_batched_old", &vecquant8matmul_batched_old, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 188 |
+
m.def("vecquant8matmul_batched_faster", &vecquant8matmul_batched_faster, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 189 |
+
m.def("vecquant8matmul_batched_faster_old", &vecquant8matmul_batched_faster_old, "Vector 8-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 190 |
+
m.def("vecquant4matmul_batched_old", &vecquant4matmul_batched_old, "Vector 4-bit old Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 191 |
+
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)");
|
| 192 |
+
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)");
|
| 193 |
+
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)");
|
| 194 |
+
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)");
|
| 195 |
+
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)");
|
| 196 |
+
m.def("vecquant4matmul_batched", &vecquant4matmul_batched, "Vector 4-bit Batched Quantized Matrix Multiplication (CUDA) (desc_act)");
|
| 197 |
+
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)");
|
| 198 |
+
}
|