Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Misc] Add channel-wise quantization support for w8a8 dynamic per token activation quantization #5542

Merged
merged 8 commits into from
Jun 18, 2024
Merged

[Misc] Add channel-wise quantization support for w8a8 dynamic per token activation quantization #5542

merged 8 commits into from
Jun 18, 2024

Conversation

dsikka
Copy link
Contributor

@dsikka dsikka commented Jun 14, 2024 •
edited
Loading

Summary:

  • Previously, the CompressedTensorsW8A8DynamicToken scheme only supported models with per-tensor weight quantization
  • This PR expands the scheme such that channel-wise quantization can be supported
  • No changes are required for the kernel

From Neural Magic

@dsikka dsikka marked this pull request as draft June 14, 2024 13:55
@dsikka dsikka marked this pull request as ready for review June 14, 2024 13:56
robertgshaw2-neuralmagic
robertgshaw2-neuralmagic reviewed Jun 18, 2024
View reviewed changes
vllm/model_executor/layers/linear.py
@@ -468,13 +468,6 @@ def weight_loader(self,
"MergedColumnParallelLinear, assume the weight is "
"the same for all partitions.")

if fp8_scales_shard_indexer is None:
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Can you just explain why this was about to be removed?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The models we're getting now have shapes defined for the scales. We were casting the shapes initially since before x.shape returned empty.

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Makes sense. This is much cleaner

robertgshaw2-neuralmagic
robertgshaw2-neuralmagic reviewed Jun 18, 2024
View reviewed changes
...cutor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a8_dynamictoken.py
@@ -6,13 +6,18 @@
from vllm import _custom_ops as custom_ops
from vllm.model_executor.layers.quantization.compressed_tensors.schemes import (
CompressedTensorsScheme)
from vllm.model_executor.layers.quantization.compressed_tensors.utils import (
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Do we need to do the same thing for static per tensor?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Do what?

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Do we support channelwise for staticpertensor already?

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

These changes only impact dynamic per token it seems, so I was jw

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Yup - just dynamic per token so far. Easy addition to the static per tensor scheme - I can add it as part of this PR. Will be a few code lines to update.

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

let's do as follow up

robertgshaw2-neuralmagic
robertgshaw2-neuralmagic reviewed Jun 18, 2024
View reviewed changes
tests/quantization/test_compressed_tensors.py
@@ -14,7 +14,7 @@


def test_compressed_tensors_w8a8_static_setup(vllm_runner):
model_path = "nm-testing/tinyllama-oneshot-w8a8-static-v2"
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why do these models need to change? Do the existing ones stop working?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Changes on compressed-tensor's end in terms of explicit shapes for the scales (i.e. x.shape has a len > 1 now and before it did not).

Sara actually updated the old models last night so these can be reverted back.

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

sounds good

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I would prefer to switch back to make the PR cleaner

Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

nvm - we are green so let's go

@robertgshaw2-neuralmagic robertgshaw2-neuralmagic merged commit 95db455 into vllm-project:main Jun 18, 2024
66 checks passed
@robertgshaw2-neuralmagic robertgshaw2-neuralmagic deleted the add-channel-support branch June 18, 2024 16:45
robertgshaw2-neuralmagic pushed a commit to neuralmagic/nm-vllm that referenced this pull request Jun 23, 2024
@dsikka @robertgshaw2-neuralmagic
[Misc] Add channel-wise quantization support for w8a8 dynamic per tok…
0008715 
…en activation quantization (vllm-project#5542)
kzawora-intel added a commit to HabanaAI/vllm-fork that referenced this pull request Jul 2, 2024
@kzawora-intel @bigPYJ1151
@jianan-gu @WoosukKwon @DarkLight1337 @ywang96 @tlrmchlsmth @mgoin @youkaichao @zifeitong @robertgshaw2-neuralmagic @comaniac @pcmoritz @Yard1 @DamonFool @AllenDou @simon-mo @KuntaiDu @dsikka @sangstar @tdoublep @leiwen83 @wenlei03 @rkooo567 @alexm-neuralmagic @njhill @garg-amit @CharlesRiggins @zhyncs @jikunshang @abhilash1910 @bfontain @sroy745 @Isotr0py @joerunde @CatherineSue @khluu @ronensc @sergey-tinkoff @milo157 @ShukantPal @hongxiayang @DearPlanet @rafvasq @varun-sundar-rabindranath @JRosenkranz @daviswer @jinzhen-lin @jeejeelee @rohithkrn @andoorve @wooyeonlee0 @mawong-amd @aws-patlange @stephanie-wang @ProExpertProg @cyang49 @LucasWilkinson @sasha0552 @ChipKerchner @abhigoyal1997 @xwjiang2010 @divakar-amd @ilya-lavrenov @zwd003 @LiuXiaoxuanPKU @bong-furiosa @mcalman @SolitaryThinker @llmpros @avshalomman @jamestwhedbee @danieljannai21
habana_main rebase (#71)
5e1a565 
* [Hardware][Intel] Optimize CPU backend and add more performance tips (vllm-project#4971)

Co-authored-by: Jianan Gu <[email protected]>

* [Docs] Add 4th meetup slides (vllm-project#5509)

* [Misc] Add vLLM version getter to utils (vllm-project#5098)

* [CI/Build] Simplify OpenAI server setup in tests (vllm-project#5100)

* [Doc] Update LLaVA docs (vllm-project#5437)

Co-authored-by: Roger Wang <[email protected]>

* [Kernel] Factor out epilogues from cutlass kernels (vllm-project#5391)

Co-authored-by: Michael Goin <[email protected]>
Co-authored-by: youkaichao <[email protected]>
Co-authored-by: zifeitong <[email protected]>
Co-authored-by: Robert Shaw <[email protected]>

* [MISC] Remove FP8 warning (vllm-project#5472)

Co-authored-by: Philipp Moritz <[email protected]>

* Seperate dev requirements into lint and test (vllm-project#5474)

* Revert "[Core] Remove unnecessary copies in flash attn backend" (vllm-project#5478)

* [misc] fix format.sh (vllm-project#5511)

* [CI/Build] Disable test_fp8.py (vllm-project#5508)

* [Kernel] Disable CUTLASS kernels for fp8 (vllm-project#5505)

* Add `cuda_device_count_stateless` (vllm-project#5473)

* [Hardware][Intel] Support CPU inference with AVX2 ISA (vllm-project#5452)

* [Misc] Fix arg names in quantizer script (vllm-project#5507)

* bump version to v0.5.0.post1 (vllm-project#5522)

* [CI/Build][Misc] Add CI that benchmarks vllm performance on those PRs with `perf-benchmarks` label (vllm-project#5073)

Co-authored-by: simon-mo <[email protected]>

* [CI/Build] Disable LLaVA-NeXT CPU test (vllm-project#5529)

* [Kernel] Fix CUTLASS 3.x custom broadcast load epilogue (vllm-project#5516)

* [Misc] Fix arg names (vllm-project#5524)

* [ Misc ] Rs/compressed tensors cleanup (vllm-project#5432)

Co-authored-by: mgoin <[email protected]>
Co-authored-by: Dipika Sikka <[email protected]>

* [Kernel] Suppress mma.sp warning on CUDA 12.5 and later (vllm-project#5401)

* [mis] fix flaky test of test_cuda_device_count_stateless (vllm-project#5546)

* [Core] Remove duplicate processing in async engine (vllm-project#5525)

* [misc][distributed] fix benign error in `is_in_the_same_node` (vllm-project#5512)

* [Docs] Add ZhenFund as a Sponsor (vllm-project#5548)

* [Doc] Update documentation on Tensorizer (vllm-project#5471)

* [Bugfix] Enable loading FP8 checkpoints for gpt_bigcode models  (vllm-project#5460)

Signed-off-by: Thomas Parnell <[email protected]>

* [Bugfix] Fix typo in Pallas backend (vllm-project#5558)

* [Core][Distributed] improve p2p cache generation (vllm-project#5528)

* Add ccache to amd (vllm-project#5555)

* [Core][Bugfix]: fix prefix caching for blockv2 (vllm-project#5364)

Signed-off-by: Lei Wen <[email protected]>
Co-authored-by: Lei Wen <[email protected]>

* [mypy] Enable type checking for test directory (vllm-project#5017)

* [CI/Build] Test both text and token IDs in batched OpenAI Completions API (vllm-project#5568)

* [misc] Do not allow to use lora with chunked prefill. (vllm-project#5538)

Co-authored-by: Cyrus Leung <[email protected]>

* add gptq_marlin test for bug report vllm-project#5088 (vllm-project#5145)

* [BugFix] Don't start a Ray cluster when not using Ray (vllm-project#5570)

* [Fix] Correct OpenAI batch response format (vllm-project#5554)

* Add basic correctness 2 GPU tests to 4 GPU pipeline (vllm-project#5518)

* [CI][BugFix] Flip is_quant_method_supported condition (vllm-project#5577)

* [build][misc] limit numpy version (vllm-project#5582)

* [Doc] add debugging tips for crash and multi-node debugging (vllm-project#5581)

* Fix w8a8 benchmark and add Llama-3-8B (vllm-project#5562)

* [Model] Rename Phi3 rope scaling type (vllm-project#5595)

* Correct alignment in the seq_len diagram. (vllm-project#5592)

Co-authored-by: Liqian Chen <[email protected]>

* [Kernel] `compressed-tensors` marlin 24 support (vllm-project#5435)

* [Misc] use AutoTokenizer for benchmark serving when vLLM not installed (vllm-project#5588)

* [Hardware][Intel GPU] Add Intel GPU(XPU) inference backend (vllm-project#3814)

Co-authored-by: Jiang Li <[email protected]>
Co-authored-by: Abhilash Majumder <[email protected]>
Co-authored-by: Abhilash Majumder <[email protected]>

* [CI/BUILD] Support non-AVX512 vLLM building and testing (vllm-project#5574)

* [CI] the readability of benchmarking and prepare for dashboard (vllm-project#5571)

[CI] Improve the readability of performance benchmarking results and prepare for upcoming performance dashboard (vllm-project#5571)

* [bugfix][distributed] fix 16 gpus local rank arrangement (vllm-project#5604)

* [Optimization] use a pool to reuse LogicalTokenBlock.token_ids (vllm-project#5584)

* [Bugfix] Fix KV head calculation for MPT models when using GQA (vllm-project#5142)

* [Fix] Use utf-8 encoding in entrypoints/openai/run_batch.py (vllm-project#5606)

* [Speculative Decoding 1/2 ] Add typical acceptance sampling as one of the sampling techniques in the verifier (vllm-project#5131)

* [Model] Initialize Phi-3-vision support (vllm-project#4986)

* [Kernel] Add punica dimensions for Granite 13b (vllm-project#5559)

Signed-off-by: Joe Runde <[email protected]>

* [misc][typo] fix typo (vllm-project#5620)

* [Misc] Fix typo (vllm-project#5618)

* [CI] Avoid naming different metrics with the same name in performance benchmark (vllm-project#5615)

* [bugfix][distributed] improve p2p capability test (vllm-project#5612)

[bugfix][distributed] do not error if two processes do not agree on p2p capability (vllm-project#5612)

* [Misc] Remove import from transformers logging (vllm-project#5625)

* [CI/Build][Misc] Update Pytest Marker for VLMs (vllm-project#5623)

* [ci] Deprecate original CI template (vllm-project#5624)

Signed-off-by: kevin <[email protected]>

* [Misc] Add OpenTelemetry support (vllm-project#4687)

This PR adds basic support for OpenTelemetry distributed tracing.
It includes changes to enable tracing functionality and improve monitoring capabilities.

I've also added a markdown with print-screens to guide users how to use this feature. You can find it here

* [Misc] Add channel-wise quantization support for w8a8 dynamic per token activation quantization (vllm-project#5542)

* [ci] Setup Release pipeline and build release wheels with cache (vllm-project#5610)

Signed-off-by: kevin <[email protected]>

* [Model] LoRA support added for command-r (vllm-project#5178)

* [Bugfix] Fix for inconsistent behaviour related to sampling and repetition penalties  (vllm-project#5639)

Signed-off-by: Thomas Parnell <[email protected]>

* [Doc] Added cerebrium as Integration option (vllm-project#5553)

* [Bugfix] Fix CUDA version check for mma warning suppression (vllm-project#5642)

* [Bugfix] Fix w8a8 benchmarks for int8 case (vllm-project#5643)

* [Bugfix] Fix Phi-3 Long RoPE scaling implementation (vllm-project#5628)

* [Bugfix] Added test for sampling repetition penalty bug. (vllm-project#5659)

Signed-off-by: Thomas Parnell <[email protected]>

* [Bugfix][CI/Build][AMD][ROCm]Fixed the cmake build bug which generate garbage on certain devices (vllm-project#5641)

* [misc][distributed] use 127.0.0.1 for single-node (vllm-project#5619)

* [Model] Add FP8 kv cache for Qwen2 (vllm-project#5656)

* [Bugfix] Fix sampling_params passed incorrectly in Phi3v example (vllm-project#5684)

* [Misc]Add param max-model-len in benchmark_latency.py (vllm-project#5629)

* [CI/Build] Add tqdm to dependencies (vllm-project#5680)

* [ci] Add A100 queue into AWS CI template (vllm-project#5648)

Signed-off-by: kevin <[email protected]>

* [Frontend][Bugfix] Fix preemption_mode -> preemption-mode for CLI arg in arg_utils.py (vllm-project#5688)

* [ci][distributed] add tests for custom allreduce (vllm-project#5689)

* [Bugfix] AsyncLLMEngine hangs with asyncio.run (vllm-project#5654)

* [Doc] Update docker references (vllm-project#5614)

Signed-off-by: Rafael Vasquez <[email protected]>

* [Misc] Add per channel support for static activation quantization; update w8a8 schemes to share base classes (vllm-project#5650)

* [ci] Limit num gpus if specified for A100 (vllm-project#5694)

Signed-off-by: kevin <[email protected]>

* [Misc] Improve conftest (vllm-project#5681)

* [Bugfix][Doc] FIx Duplicate Explicit Target Name Errors (vllm-project#5703)

* [Kernel] Update Cutlass int8 kernel configs for SM90 (vllm-project#5514)

Co-authored-by: Varun Sundar Rabindranath <[email protected]>

* [Model] Port over CLIPVisionModel for VLMs (vllm-project#5591)

* [Kernel] Update Cutlass int8 kernel configs for SM80 (vllm-project#5275)

Co-authored-by: Varun Sundar Rabindranath <[email protected]>

* [Bugfix] Fix the CUDA version check for FP8 support in the CUTLASS kernels (vllm-project#5715)

* [Frontend] Add FlexibleArgumentParser to support both underscore and dash in names (vllm-project#5718)

* [distributed][misc] use fork by default for mp (vllm-project#5669)

* [Model] MLPSpeculator speculative decoding support (vllm-project#4947)

Signed-off-by: Thomas Parnell <[email protected]>

Co-authored-by: Thomas Parnell <[email protected]>
Co-authored-by: Nick Hill <[email protected]>
Co-authored-by: Davis Wertheimer <[email protected]>

* [Kernel] Add punica dimension for Qwen2 LoRA (vllm-project#5441)

* [BugFix] Fix test_phi3v.py (vllm-project#5725)

* [Bugfix] Add  fully sharded layer for QKVParallelLinearWithLora (vllm-project#5665)

Co-authored-by: Antoni Baum <[email protected]>

* [Core][Distributed] add shm broadcast (vllm-project#5399)

Co-authored-by: Cody Yu <[email protected]>

* [Kernel][CPU] Add Quick `gelu` to CPU (vllm-project#5717)

* [Doc] Documentation on supported hardware for quantization methods (vllm-project#5745)

* [BugFix] exclude version 1.15.0 for modelscope (vllm-project#5668)

* [ci][test] fix ca test in main (vllm-project#5746)

* [LoRA] Add support for pinning lora adapters in the LRU cache (vllm-project#5603)

* [CI][Hardware][Intel GPU] add Intel GPU(XPU) ci pipeline (vllm-project#5616)

* [Model] Support Qwen-VL and Qwen-VL-Chat models with text-only inputs (vllm-project#5710)

Co-authored-by: Roger Wang <[email protected]>

* [Misc] Remove vllm-project#4789 workaround left in vllm/entrypoints/openai/run_batch.py (vllm-project#5756)

* [Bugfix] Fix pin_lora error in TPU executor (vllm-project#5760)

* [Docs][TPU] Add installation tip for TPU (vllm-project#5761)

* [core][distributed] improve shared memory broadcast (vllm-project#5754)

* [BugFix] [Kernel] Add Cutlass2x fallback kernels (vllm-project#5744)

Co-authored-by: Varun Sundar Rabindranath <[email protected]>

* [Distributed] Add send and recv helpers (vllm-project#5719)

* [Bugfix] Add phi3v resize for dynamic shape and fix torchvision requirement (vllm-project#5772)

* [doc][faq] add warning to download models for every nodes (vllm-project#5783)

* post-rebase api adjustments

* [Doc] Add "Suggest edit" button to doc pages (vllm-project#5789)

* [Doc] Add Phi-3-medium to list of supported models (vllm-project#5788)

* [Bugfix] Fix FlexibleArgumentParser replaces _ with - for actual args (vllm-project#5795)

* [ci] Remove aws template (vllm-project#5757)

Signed-off-by: kevin <[email protected]>

* [Doc] Add notice about breaking changes to VLMs (vllm-project#5818)

* [Speculative Decoding] Support draft model on different tensor-parallel size than target model (vllm-project#5414)

* add pin_lora to habana components

* add WA for model loader

* fix api mismatches with ray

* tensor parallel fixes

* workers cpu alignment fix

* [Misc] Remove useless code in cpu_worker (vllm-project#5824)

* prefill/decode metadata fixes

* [Core] Add fault tolerance for `RayTokenizerGroupPool` (vllm-project#5748)

* re-enable attn metadata trimming

* worker_use_ray fix

* [doc][distributed] add both gloo and nccl tests (vllm-project#5834)

* [CI/Build] Add unit testing for FlexibleArgumentParser (vllm-project#5798)

* [Misc] Update `w4a16` `compressed-tensors` support to include `w8a16` (vllm-project#5794)

* [Hardware][TPU] Refactor TPU backend (vllm-project#5831)

* [Hardware][AMD][CI/Build][Doc] Upgrade to ROCm 6.1, Dockerfile improvements, test fixes (vllm-project#5422)

* [Hardware][TPU] Raise errors for unsupported sampling params (vllm-project#5850)

* [CI/Build] Add E2E tests for MLPSpeculator (vllm-project#5791)

Signed-off-by: Thomas Parnell <[email protected]>

* [Bugfix] Fix assertion in NeuronExecutor (vllm-project#5841)

* [Core] Refactor Worker and ModelRunner to consolidate control plane communication (vllm-project#5408)

Signed-off-by: Stephanie Wang <[email protected]>
Signed-off-by: Stephanie <[email protected]>
Co-authored-by: Stephanie <[email protected]>

* [Misc][Doc] Add Example of using OpenAI Server with VLM (vllm-project#5832)

* [bugfix][distributed] fix shm broadcast when the queue size is full (vllm-project#5801)

* [Bugfix] Fix embedding to support 2D inputs (vllm-project#5829)

* [Bugfix][TPU] Fix KV cache size calculation (vllm-project#5860)

* [CI/Build] Refactor image test assets (vllm-project#5821)

* [Kernel] Adding bias epilogue support for `cutlass_scaled_mm` (vllm-project#5560)

Co-authored-by: Chih-Chieh-Yang <[email protected]>
Co-authored-by: Lucas Wilkinson <[email protected]>

* [Frontend] Add tokenize/detokenize endpoints (vllm-project#5054)

* [Hardware][TPU] Support parallel sampling & Swapping (vllm-project#5855)

* [Bugfix][TPU] Fix CPU cache allocation (vllm-project#5869)

* Support CPU inference with VSX PowerPC ISA (vllm-project#5652)

* [doc] update usage of env var to avoid conflict (vllm-project#5873)

* [Misc] Add example for LLaVA-NeXT (vllm-project#5879)

* [BugFix] Fix cuda graph for MLPSpeculator (vllm-project#5875)

Co-authored-by: Abhinav Goyal <[email protected]>

* [Doc] Add note about context length in Phi-3-Vision example (vllm-project#5887)

* [VLM][Bugfix] Make sure that `multi_modal_kwargs` is broadcasted properly (vllm-project#5880)

Signed-off-by: Xiaowei Jiang <[email protected]>

* [Model] Add base class for LoRA-supported models (vllm-project#5018)

* [Bugfix] Fix img_sizes Parsing in Phi3-Vision (vllm-project#5888)

* [CI/Build] [1/3] Reorganize entrypoints tests (vllm-project#5526)

* add collective crash WA

* add comment to the weird mark_step

* [Model][Bugfix] Implicit model flags and reenable Phi-3-Vision (vllm-project#5896)

* [doc][misc] add note for Kubernetes users (vllm-project#5916)

* [BugFix] Fix `MLPSpeculator` handling of `num_speculative_tokens` (vllm-project#5876)

* [BugFix] Fix `min_tokens` behaviour for multiple eos tokens (vllm-project#5849)

* [CI/Build] Fix Args for `_get_logits_warper` in Sampler Test (vllm-project#5922)

* [Model] Add Gemma 2 (vllm-project#5908)

* [core][misc] remove logical block (vllm-project#5882)

* [Kernel][ROCm][AMD] fused_moe Triton configs v2 for mi300X (vllm-project#5932)

* [Hardware][TPU] Optimize KV cache swapping (vllm-project#5878)

* [VLM][BugFix] Make sure that `multi_modal_kwargs` can broadcast properly with ring buffer. (vllm-project#5905)

Signed-off-by: Xiaowei Jiang <[email protected]>
Co-authored-by: Roger Wang <[email protected]>

* [Bugfix][Hardware][Intel CPU] Fix unpassed multi_modal_kwargs for CPU runner (vllm-project#5956)

* [Core] Registry for processing model inputs (vllm-project#5214)

Co-authored-by: ywang96 <[email protected]>

* Unmark fused_moe config json file as executable (vllm-project#5960)

* [Hardware][Intel] OpenVINO vLLM backend (vllm-project#5379)

* [Bugfix] Better error message for MLPSpeculator when `num_speculative_tokens` is set too high (vllm-project#5894)

Signed-off-by: Thomas Parnell <[email protected]>

* [CI/Build] [2/3] Reorganize entrypoints tests (vllm-project#5904)

* [Distributed] Make it clear that % should not be in tensor dict keys. (vllm-project#5927)

Signed-off-by: Xiaowei Jiang <[email protected]>

* [Spec Decode] Introduce DraftModelRunner (vllm-project#5799)

* [Bugfix] Fix compute datatype for cutlass 3.x epilogues (vllm-project#5931)

* [ Misc ] Remove `fp8_shard_indexer` from Col/Row Parallel Linear (Simplify Weight Loading) (vllm-project#5928)

Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* [ Bugfix ] Enabling Loading Models With Fused QKV/MLP on Disk with FP8 (vllm-project#5921)

Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* Support Deepseek-V2 (vllm-project#4650)

Co-authored-by: Philipp Moritz <[email protected]>

* [Bugfix] Only add `Attention.kv_scale` if kv cache quantization is enabled (vllm-project#5936)

* Unmark more files as executable (vllm-project#5962)

* [Bugfix] Fix Engine Failing After Invalid Request - AsyncEngineDeadError (vllm-project#5963)

Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* [Kernel] Flashinfer for prefill & decode, with Cudagraph support for decode (vllm-project#4628)

Co-authored-by: LiuXiaoxuanPKU <[email protected]>, bong-furiosa <[email protected]>

* [Bugfix][TPU] Fix TPU sampler output (vllm-project#5978)

* [Bugfix][TPU] Fix pad slot id (vllm-project#5977)

* [Bugfix] fix missing last itl in openai completions benchmark (vllm-project#5926)

* [Misc] Extend vLLM Metrics logging API (vllm-project#5925)

Co-authored-by: Antoni Baum <[email protected]>

* [Kernel] Add punica dimensions for Granite 3b and 8b (vllm-project#5930)

Signed-off-by: Joe Runde <[email protected]>

* [Bugfix] Fix precisions in Gemma 1 (vllm-project#5913)

* [Misc] Update Phi-3-Vision Example (vllm-project#5981)

Co-authored-by: Cyrus Leung <[email protected]>

* [Bugfix] Support `eos_token_id` from `config.json` (vllm-project#5954)

* [Core] Optimize `SequenceStatus.is_finished` by switching to IntEnum (vllm-project#5974)

* [Kernel] Raise an exception in MoE kernel if the batch size is larger then 65k (vllm-project#5939)

* [ CI/Build ] Added E2E Test For Compressed Tensors (vllm-project#5839)

Co-authored-by: Michael Goin <[email protected]>
Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* [CI/Build] Add TP test for vision models (vllm-project#5892)

* [ CI/Build ] LM Eval Harness Based CI Testing (vllm-project#5838)

Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* [Bugfix][CI/Build][Hardware][AMD] Install matching torchvision to fix AMD tests (vllm-project#5949)

* [CI/Build] Temporarily Remove Phi3-Vision from TP Test (vllm-project#5989)

* [CI/Build] Reuse code for checking output consistency (vllm-project#5988)

* [CI/Build] [3/3] Reorganize entrypoints tests (vllm-project#5966)

* [ci][distributed] fix device count call

[ci][distributed] fix some cuda init that makes it necessary to use spawn (vllm-project#5991)

* [Frontend]: Support base64 embedding (vllm-project#5935)

Co-authored-by: Cyrus Leung <[email protected]>

* [Lora] Use safetensor keys instead of adapter_config.json to find unexpected modules.  (vllm-project#5909)

Co-authored-by: sang <[email protected]>

* [ CI ] Temporarily Disable Large LM-Eval Tests (vllm-project#6005)

Co-authored-by: [email protected] <rshaw@neuralmagic>

* [Misc] Fix `get_min_capability` (vllm-project#5971)

* [ Misc ] Refactor w8a8 to use `process_weights_after_load` (Simplify Weight Loading) (vllm-project#5940)

Co-authored-by: Robert Shaw <rshaw@neuralmagic>

* [misc][cuda] use nvml to avoid accidentally cuda initialization (vllm-project#6007)

* [Speculative Decoding 2/2 ] Integrate typical acceptance sampler into Spec Decode Worker (vllm-project#5348)

* Revert test changes

* cleanup

* llm engine cleanup

* utils.py cleanup

* custom ops refactor

* move xops to ops

* remove vllm/hpu/attn_bias.py

* whitespace fix

* revert accidental changes in rmsnorm

* Fix hpugraph hashing

* add trim_attn_metadata comment

* fix prompt bucketing:

* [ CI ] Re-enable Large Model LM Eval (vllm-project#6031)

* [doc][misc] remove deprecated api server in doc (vllm-project#6037)

* [Misc] update benchmark backend for scalellm (vllm-project#6018)

* [doc][misc] further lower visibility of simple api server (vllm-project#6041)

Co-authored-by: Simon Mo <[email protected]>

* [Bugfix] Use RayActorError for older versions of Ray in  RayTokenizerGroupPool (vllm-project#6039)

* [Bugfix] adding chunking mechanism to fused_moe to handle large inputs (vllm-project#6029)

* add FAQ doc under 'serving' (vllm-project#5946)

* [Bugfix][Doc] Fix Doc Formatting (vllm-project#6048)

* [Bugfix] Add explicit `end_forward` calls to flashinfer (vllm-project#6044)

* [BugFix] Ensure worker model loop is always stopped at the right time (vllm-project#5987)

* [Frontend] Relax api url assertion for openai benchmarking (vllm-project#6046)

* [Model] Changes to MLPSpeculator to support tie_weights and input_scale (vllm-project#5965)

Signed-off-by: Thomas Parnell <[email protected]>
Co-authored-by: Joshua Rosenkranz <[email protected]>

* [Core] Optimize block_manager_v2 vs block_manager_v1 (to make V2 default)  (vllm-project#5602)

* [Frontend] Add template related params to request (vllm-project#5709)

* [VLM] Remove `image_input_type` from VLM config (vllm-project#5852)

Signed-off-by: Xiaowei Jiang <[email protected]>
Co-authored-by: Cyrus Leung <[email protected]>
Co-authored-by: Roger Wang <[email protected]>

* [Doc] Reinstate doc dependencies (vllm-project#6061)

* guard model loader wa for hpu

---------

Signed-off-by: Thomas Parnell <[email protected]>
Signed-off-by: Lei Wen <[email protected]>
Signed-off-by: Joe Runde <[email protected]>
Signed-off-by: kevin <[email protected]>
Signed-off-by: Rafael Vasquez <[email protected]>
Signed-off-by: Stephanie Wang <[email protected]>
Signed-off-by: Stephanie <[email protected]>
Signed-off-by: Xiaowei Jiang <[email protected]>
Signed-off-by: Joe Runde <[email protected]>
Co-authored-by: Li, Jiang <[email protected]>
Co-authored-by: Jianan Gu <[email protected]>
Co-authored-by: Woosuk Kwon <[email protected]>
Co-authored-by: Cyrus Leung <[email protected]>
Co-authored-by: Roger Wang <[email protected]>
Co-authored-by: Tyler Michael Smith <[email protected]>
Co-authored-by: Michael Goin <[email protected]>
Co-authored-by: youkaichao <[email protected]>
Co-authored-by: zifeitong <[email protected]>
Co-authored-by: Robert Shaw <[email protected]>
Co-authored-by: Cody Yu <[email protected]>
Co-authored-by: Philipp Moritz <[email protected]>
Co-authored-by: Antoni Baum <[email protected]>
Co-authored-by: Jie Fu (傅杰) <[email protected]>
Co-authored-by: Allen.Dou <[email protected]>
Co-authored-by: Simon Mo <[email protected]>
Co-authored-by: Kuntai Du <[email protected]>
Co-authored-by: Dipika Sikka <[email protected]>
Co-authored-by: Sanger Steel <[email protected]>
Co-authored-by: Thomas Parnell <[email protected]>
Co-authored-by: leiwen83 <[email protected]>
Co-authored-by: Lei Wen <[email protected]>
Co-authored-by: SangBin Cho <[email protected]>
Co-authored-by: Alexander Matveev <[email protected]>
Co-authored-by: Nick Hill <[email protected]>
Co-authored-by: Amit Garg <[email protected]>
Co-authored-by: Charles Riggins <[email protected]>
Co-authored-by: Liqian Chen <[email protected]>
Co-authored-by: zhyncs <[email protected]>
Co-authored-by: Kunshang Ji <[email protected]>
Co-authored-by: Abhilash Majumder <[email protected]>
Co-authored-by: Abhilash Majumder <[email protected]>
Co-authored-by: Bruce Fontaine <[email protected]>
Co-authored-by: zifeitong <[email protected]>
Co-authored-by: sroy745 <[email protected]>
Co-authored-by: Isotr0py <[email protected]>
Co-authored-by: Joe Runde <[email protected]>
Co-authored-by: Chang Su <[email protected]>
Co-authored-by: Roger Wang <[email protected]>
Co-authored-by: Kevin H. Luu <[email protected]>
Co-authored-by: Ronen Schaffer <[email protected]>
Co-authored-by: sergey-tinkoff <[email protected]>
Co-authored-by: milo157 <[email protected]>
Co-authored-by: Shukant Pal <[email protected]>
Co-authored-by: Hongxia Yang <[email protected]>
Co-authored-by: DearPlanet <[email protected]>
Co-authored-by: Rafael Vasquez <[email protected]>
Co-authored-by: Varun Sundar Rabindranath <[email protected]>
Co-authored-by: Varun Sundar Rabindranath <[email protected]>
Co-authored-by: Joshua Rosenkranz <[email protected]>
Co-authored-by: Davis Wertheimer <[email protected]>
Co-authored-by: Jinzhen Lin <[email protected]>
Co-authored-by: Jee Li <[email protected]>
Co-authored-by: rohithkrn <[email protected]>
Co-authored-by: Murali Andoorveedu <[email protected]>
Co-authored-by: Woo-Yeon Lee <[email protected]>
Co-authored-by: Matt Wong <[email protected]>
Co-authored-by: aws-patlange <[email protected]>
Co-authored-by: Stephanie Wang <[email protected]>
Co-authored-by: Stephanie <[email protected]>
Co-authored-by: Luka Govedič <[email protected]>
Co-authored-by: Chih-Chieh-Yang <[email protected]>
Co-authored-by: Lucas Wilkinson <[email protected]>
Co-authored-by: sasha0552 <[email protected]>
Co-authored-by: Chip Kerchner <[email protected]>
Co-authored-by: Abhinav Goyal <[email protected]>
Co-authored-by: xwjiang2010 <[email protected]>
Co-authored-by: Divakar Verma <[email protected]>
Co-authored-by: Ilya Lavrenov <[email protected]>
Co-authored-by: Robert Shaw <rshaw@neuralmagic>
Co-authored-by: wangding zeng <[email protected]>
Co-authored-by: Lily Liu <[email protected]>
Co-authored-by: LiuXiaoxuanPKU <[email protected]>, bong-furiosa <[email protected]>
Co-authored-by: mcalman <[email protected]>
Co-authored-by: William Lin <[email protected]>
Co-authored-by: Cyrus Leung <[email protected]>
Co-authored-by: llmpros <[email protected]>
Co-authored-by: sang <[email protected]>
Co-authored-by: Avshalom Manevich <[email protected]>
Co-authored-by: James Whedbee <[email protected]>
Co-authored-by: Joshua Rosenkranz <[email protected]>
Co-authored-by: danieljannai21 <[email protected]>
xjpang pushed a commit to xjpang/vllm that referenced this pull request Jul 8, 2024
@dsikka
[Misc] Add channel-wise quantization support for w8a8 dynamic per tok…
8f18156 
…en activation quantization (vllm-project#5542)
xjpang pushed a commit to xjpang/vllm that referenced this pull request Jul 24, 2024
@dsikka
[Misc] Add channel-wise quantization support for w8a8 dynamic per tok…
e35ed91 
…en activation quantization (vllm-project#5542)
Temirulan pushed a commit to Temirulan/vllm-whisper that referenced this pull request Sep 6, 2024
@dsikka
[Misc] Add channel-wise quantization support for w8a8 dynamic per tok…
b4e4f7f 
…en activation quantization (vllm-project#5542)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@robertgshaw2-neuralmagic robertgshaw2-neuralmagic robertgshaw2-neuralmagic approved these changes

Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
2 participants
@dsikka @robertgshaw2-neuralmagic