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Marlin downstream PR #13
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…anch safe_expose_semi_structured_sparse_tensor
Semi-structured 2:4 sparsity via SparseSemiStructuredTensor
…re (eager_force=False)
…size by running multiple parallel problems of size 64. (2) Refactor the workspace to be dynamic per layer
…d issues with tensor parallel runs)
cleanup to undo autoformatting
cleanup formatting
alexm-neuralmagic
requested review from
robertgshaw2-neuralmagic,
tlrmchlsmth,
mgoin and
LucasWilkinson
| int block_size, | ||
| int max_context_len, | ||
| const c10::optional<torch::Tensor>& alibi_slopes); | ||
| void paged_attention_v1(torch::Tensor &out, torch::Tensor &query, |
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we should probably avoid reformatting this file, it'll cause headaches later on when syncing with main vLLM repo
| @@ -1,29 +1,35 @@ | |||
| import torch | |||
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| from magic_wand import SparseTensor, SparseBitmaskStorageFormat | |||
| from typing import Type | |||
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why is this file changing? this seems unrelated to Marlin
| #endif | ||
| ops.def("gptq_gemm", &gptq_gemm, "Quantized GEMM for GPTQ"); | ||
| ops.def("gptq_shuffle", &gptq_shuffle, "Post processing for GPTQ"); | ||
| ops.def("squeezellm_gemm", &squeezellm_gemm, "Quantized GEMM for SqueezeLLM"); | ||
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nit: remove unnecessary format change
mgoin
reviewed
Feb 14, 2024
| @@ -148,9 +148,9 @@ def _verify_tokenizer_mode(self) -> None: | |||
| self.tokenizer_mode = tokenizer_mode | |||
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| def _verify_sparsity(self) -> None: | |||
| supported_sparsity = ["sparse_w16a16"] | |||
| supported_sparsity = ["sparse_w16a16", "semi_structured_sparse_w16a16"] | |||
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please rebase/merge with our main properly, it seems like you've picked up some recent changes into this diff
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Closing in favor of #26 |
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