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wooway777
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Feb 4, 2026
| for (int ind = threadIdx.x; ind < K; ind += BLOCK_SIZE) { | ||
| thread_min = fminf(thread_min, (float)x[tid + ind]); | ||
| } | ||
| float local_min = BlockReduce(temp_storage).Reduce(thread_min, cub::Min()); |
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| void linear_w4a16_awq_(Tensor out, Tensor input, Tensor weight_packed, Tensor weight_scale, Tensor weight_zeros, std::optional<Tensor> bias); | ||
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| } // namespace infinicore::op No newline at end of file |
| DequantizeAWQ::dispatcher().registerAll(&calculate, false); | ||
| return true; | ||
| }(); | ||
| } // namespace infinicore::op::dequantize_awq_impl::infiniop No newline at end of file |
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这两个文件写反了；
支持计算图的话要模仿一下隔壁的算子，比如gemm；
* issue/843: success qy scaled_mm * issue/843: modified kernel.cuh as per_channel_dequant_int8.cuh
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