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https://github.com/huggingface/text-generation-inference.git
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f1f98e369f
This change adds support for 2:4 sparsity when using Marlin quantization. The 2:4 kernel is used when: * The quantizer is `marlin`; * the quantizer checkpoint format is `marlin_24`. Fixes #2098.
31 lines
1.3 KiB
C++
31 lines
1.3 KiB
C++
#pragma once
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#include <torch/library.h>
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ < 800
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// No support for async
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#else
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torch::Tensor gptq_marlin_gemm(torch::Tensor &a, torch::Tensor &b_q_weight,
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torch::Tensor &b_scales, torch::Tensor &g_idx,
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torch::Tensor &perm, torch::Tensor &workspace,
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int64_t num_bits, int64_t size_m, int64_t size_n,
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int64_t size_k, bool is_k_full);
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torch::Tensor gptq_marlin_24_gemm(torch::Tensor &a, torch::Tensor &b_q_weight,
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torch::Tensor &b_meta,
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torch::Tensor &b_scales,
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torch::Tensor &workspace, int64_t num_bits,
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int64_t size_m, int64_t size_n,
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int64_t size_k);
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torch::Tensor gptq_marlin_repack(torch::Tensor &b_q_weight, torch::Tensor &perm,
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int64_t size_k, int64_t size_n,
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int64_t num_bits);
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torch::Tensor marlin_gemm(torch::Tensor &a, torch::Tensor &b_q_weight,
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torch::Tensor &b_scales, torch::Tensor &workspace,
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int64_t size_m, int64_t size_n, int64_t size_k);
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#endif
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