1. 31 May, 2024 1 commit
  2. 17 May, 2024 1 commit
    • fxmarty's avatar
      MI300 compatibility (#1764) · 232e8d52
      fxmarty authored
      Adds support for AMD Instinct MI300 in TGI.
      
      Most changes are:
      * Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding
      https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable.
      TunableOp is disabled by default, and can be enabled with
      `PYTORCH_TUNABLEOP_ENABLED=1`.
      * Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes
      from https://github.com/pytorch/pytorch/pull/124362)
      * Support SILU & Linear custom kernels contributed by AMD
      * Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/,
      branching out of a much more recent commit
      https://github.com/ROCm/vllm/commit/3489ce7936c5de588916ae3047c44c23c0b0c308
      
      
      * Support FA2 Triton kernel as recommended by AMD. Can be used by
      specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`.
      * Update dockerfile to ROCm 6.1
      
      By default, TunableOp tuning results are saved in `/data` (e.g.
      `/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order
      to avoid to have to rerun the tuning at each `docker run`.
      
      Example:
      ```
      Validator,PT_VERSION,2.3.0
      Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c
      Validator,HIPBLASLT_VERSION,0.7.0-1549b021
      Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack-
      Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty
      GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098
      GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431
      GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546
      GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119
      GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645
      GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971
      GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694
      GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522
      GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671
      GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834
      GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622
      GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122
      GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191
      GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514
      GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914
      GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516
      GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953
      GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043
      GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497
      GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895
      GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716
      GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731
      GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816
      GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701
      GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159
      GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524
      GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074
      GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045
      GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582
      GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705
      GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489
      ```
      
      ---------
      Co-authored-by: default avatarMohit Sharma <mohit21sharma.ms@gmail.com>
      232e8d52
  3. 12 Mar, 2024 1 commit
    • lewtun's avatar
      Use a better model for the quick tour (#1639) · d3711a66
      lewtun authored
      Falcon models are long superseded by better models like Zephyr and
      OpenHermes. This PR updates the docs accordingly
      
      # What does this PR do?
      
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      d3711a66
  4. 16 Feb, 2024 1 commit
  5. 26 Jan, 2024 1 commit
  6. 09 Jan, 2024 1 commit
  7. 11 Dec, 2023 1 commit
  8. 04 Dec, 2023 1 commit
  9. 30 Nov, 2023 1 commit
  10. 27 Nov, 2023 1 commit
    • fxmarty's avatar
      Add RoCm support (#1243) · b2b5df0e
      fxmarty authored
      
      
      This PR adds support for AMD Instinct MI210 & MI250 GPUs, with paged
      attention and FAv2 support.
      
      Remaining items to discuss, on top of possible others:
      * Should we have a
      `ghcr.io/huggingface/text-generation-inference:1.1.0+rocm` hosted image,
      or is it too early?
      * Should we set up a CI on MI210/MI250? I don't have access to the
      runners of TGI though.
      * Are we comfortable with those changes being directly in TGI, or do we
      need a fork?
      
      ---------
      Co-authored-by: default avatarFelix Marty <felix@hf.co>
      Co-authored-by: default avatarOlivierDehaene <olivier@huggingface.co>
      Co-authored-by: default avatarYour Name <you@example.com>
      b2b5df0e
  11. 05 Oct, 2023 1 commit
    • Nicolas Patry's avatar
      Prepare for v1.1.1 (#1100) · 00b8f36f
      Nicolas Patry authored
      # What does this PR do?
      
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      00b8f36f
  12. 28 Sep, 2023 1 commit
  13. 27 Sep, 2023 1 commit
    • Nicolas Patry's avatar
      Preping 1.1.0 (#1066) · a0498642
      Nicolas Patry authored
      # What does this PR do?
      
      Upgrade all relevant versions and dependencies.
      
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            Pull Request section?
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      a0498642
  14. 31 Aug, 2023 1 commit
  15. 23 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      Upgrade version number in docs. (#910) · 888c0291
      Nicolas Patry authored
      # What does this PR do?
      
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            Pull Request section?
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      888c0291
  16. 18 Aug, 2023 1 commit
  17. 14 Aug, 2023 2 commits
  18. 10 Aug, 2023 3 commits