[Bugfix][TPU] Fix pad slot id #5977
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* [Hardware][Intel] Optimize CPU backend and add more performance tips (vllm-project#4971) Co-authored-by: Jianan Gu <jianan.gu@intel.com> * [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 <ywang@roblox.com> * [Kernel] Factor out epilogues from cutlass kernels (vllm-project#5391) Co-authored-by: Michael Goin <michael@neuralmagic.com> Co-authored-by: youkaichao <youkaichao@gmail.com> Co-authored-by: zifeitong <zifei.tong@parasail.io> Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com> * [MISC] Remove FP8 warning (vllm-project#5472) Co-authored-by: Philipp Moritz <pcmoritz@gmail.com> * 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 <simon.mo@hey.com> * [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 <michael@neuralmagic.com> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> * [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 <tpa@zurich.ibm.com> * [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 <wenlei03@qiyi.com> Co-authored-by: Lei Wen <wenlei03@qiyi.com> * [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 <tlleungac@connect.ust.hk> * 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 <liqian.chen@deeplang.ai> * [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 <jiang1.li@intel.com> Co-authored-by: Abhilash Majumder <abhilash.majumder@intel.com> Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com> * [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 <Joseph.Runde@ibm.com> * [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 <kevin@anyscale.com> * [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 <kevin@anyscale.com> * [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 <tpa@zurich.ibm.com> * [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 <tpa@zurich.ibm.com> * [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 <kevin@anyscale.com> * [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 <rafvasq21@gmail.com> * [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 <kevin@anyscale.com> * [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 <varun@neuralmagic.com> * [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 <varun@neuralmagic.com> * [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 <tpa@zurich.ibm.com> Co-authored-by: Thomas Parnell <tpa@zurich.ibm.com> Co-authored-by: Nick Hill <nickhill@us.ibm.com> Co-authored-by: Davis Wertheimer <Davis.Wertheimer@ibm.com> * [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 <antoni.baum@protonmail.com> * [Core][Distributed] add shm broadcast (vllm-project#5399) Co-authored-by: Cody Yu <hao.yu.cody@gmail.com> * [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 <ywang@roblox.com> * [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 <varun@neuralmagic.com> * [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 <kevin@anyscale.com> * [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 <tpa@zurich.ibm.com> * [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 <swang@cs.berkeley.edu> Signed-off-by: Stephanie <swang@anyscale.com> Co-authored-by: Stephanie <swang@anyscale.com> * [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 <7364402+cyang49@users.noreply.github.com> Co-authored-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> * [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 <abhinav.goyal@flipkart.com> * [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 <xwjiang2010@gmail.com> * [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 <xwjiang2010@gmail.com> Co-authored-by: Roger Wang <ywang@roblox.com> * [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 <ywang@roblox.com> * 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 <tpa@zurich.ibm.com> * [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 <xwjiang2010@gmail.com> * [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 <pcmoritz@gmail.com> * [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 <llilyliupku@gmail.com>, bong-furiosa <bongwon.jang@furiosa.ai> * [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 <antoni.baum@protonmail.com> * [Kernel] Add punica dimensions for Granite 3b and 8b (vllm-project#5930) Signed-off-by: Joe Runde <joe@joerun.de> * [Bugfix] Fix precisions in Gemma 1 (vllm-project#5913) * [Misc] Update Phi-3-Vision Example (vllm-project#5981) Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> * [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 <michael@neuralmagic.com> 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 <cyrus.tl.leung@gmail.com> * [Lora] Use safetensor keys instead of adapter_config.json to find unexpected modules. (vllm-project#5909) Co-authored-by: sang <sangcho@anyscale.com> * [ CI ] Temporarily Disable Large LM-Eval Tests (vllm-project#6005) Co-authored-by: rshaw@neuralmagic.com <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 <simon.mo@hey.com> * [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 <tpa@zurich.ibm.com> Co-authored-by: Joshua Rosenkranz <jmrosenk@us.ibm.com> * [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 <xwjiang2010@gmail.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> Co-authored-by: Roger Wang <ywang@roblox.com> * [Doc] Reinstate doc dependencies (vllm-project#6061) * guard model loader wa for hpu --------- Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com> Signed-off-by: Lei Wen <wenlei03@qiyi.com> Signed-off-by: Joe Runde <Joseph.Runde@ibm.com> Signed-off-by: kevin <kevin@anyscale.com> Signed-off-by: Rafael Vasquez <rafvasq21@gmail.com> Signed-off-by: Stephanie Wang <swang@cs.berkeley.edu> Signed-off-by: Stephanie <swang@anyscale.com> Signed-off-by: Xiaowei Jiang <xwjiang2010@gmail.com> Signed-off-by: Joe Runde <joe@joerun.de> Co-authored-by: Li, Jiang <jiang1.li@intel.com> Co-authored-by: Jianan Gu <jianan.gu@intel.com> Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu> Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk> Co-authored-by: Roger Wang <ywang@roblox.com> Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com> Co-authored-by: Michael Goin <michael@neuralmagic.com> Co-authored-by: youkaichao <youkaichao@gmail.com> Co-authored-by: zifeitong <zifei.tong@parasail.io> Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com> Co-authored-by: Cody Yu <hao.yu.cody@gmail.com> Co-authored-by: Philipp Moritz <pcmoritz@gmail.com> Co-authored-by: Antoni Baum <antoni.baum@protonmail.com> Co-authored-by: Jie Fu (傅杰) <jiefu@tencent.com> Co-authored-by: Allen.Dou <allen.dou@hotmail.com> Co-authored-by: Simon Mo <simon.mo@hey.com> Co-authored-by: Kuntai Du <kuntai@uchicago.edu> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> Co-authored-by: Sanger Steel <sangersteel@gmail.com> Co-authored-by: Thomas Parnell <tpa@zurich.ibm.com> Co-authored-by: leiwen83 <leiwen83@users.noreply.github.com> Co-authored-by: Lei Wen <wenlei03@qiyi.com> Co-authored-by: SangBin Cho <rkooo567@gmail.com> Co-authored-by: Alexander Matveev <59768536+alexm-neuralmagic@users.noreply.github.com> Co-authored-by: Nick Hill <nickhill@us.ibm.com> Co-authored-by: Amit Garg <gargamit@microsoft.com> Co-authored-by: Charles Riggins <liqianchen123@foxmail.com> Co-authored-by: Liqian Chen <liqian.chen@deeplang.ai> Co-authored-by: zhyncs <me@zhyncs.com> Co-authored-by: Kunshang Ji <kunshang.ji@intel.com> Co-authored-by: Abhilash Majumder <abhilash.majumder@intel.com> Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com> Co-authored-by: Bruce Fontaine <bruce@2.7182.net> Co-authored-by: zifeitong <zifeitong@gmail.com> Co-authored-by: sroy745 <142070531+sroy745@users.noreply.github.com> Co-authored-by: Isotr0py <2037008807@qq.com> Co-authored-by: Joe Runde <joe@joerun.de> Co-authored-by: Chang Su <chang.s.su@oracle.com> Co-authored-by: Roger Wang <136131678+ywang96@users.noreply.github.com> Co-authored-by: Kevin H. Luu <kevin@anyscale.com> Co-authored-by: Ronen Schaffer <ronen.schaffer@ibm.com> Co-authored-by: sergey-tinkoff <167607910+sergey-tinkoff@users.noreply.github.com> Co-authored-by: milo157 <43028253+milo157@users.noreply.github.com> Co-authored-by: Shukant Pal <SukantK2002@outlook.com> Co-authored-by: Hongxia Yang <62075498+hongxiayang@users.noreply.github.com> Co-authored-by: DearPlanet <junsong.zhang2021.work@outlook.com> Co-authored-by: Rafael Vasquez <rafvasq21@gmail.com> Co-authored-by: Varun Sundar Rabindranath <varunsundar08@gmail.com> Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com> Co-authored-by: Joshua Rosenkranz <joshua.rosenkranz@gmail.com> Co-authored-by: Davis Wertheimer <Davis.Wertheimer@ibm.com> Co-authored-by: Jinzhen Lin <linjinzhen@hotmail.com> Co-authored-by: Jee Li <pandaleefree@163.com> Co-authored-by: rohithkrn <rohith.nallamaddi@gmail.com> Co-authored-by: Murali Andoorveedu <37849411+andoorve@users.noreply.github.com> Co-authored-by: Woo-Yeon Lee <wooyeonlee0@gmail.com> Co-authored-by: Matt Wong <156021403+mawong-amd@users.noreply.github.com> Co-authored-by: aws-patlange <90803007+aws-patlange@users.noreply.github.com> Co-authored-by: Stephanie Wang <swang@cs.berkeley.edu> Co-authored-by: Stephanie <swang@anyscale.com> Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com> Co-authored-by: Chih-Chieh-Yang <7364402+cyang49@users.noreply.github.com> Co-authored-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> Co-authored-by: sasha0552 <admin@sasha0552.org> Co-authored-by: Chip Kerchner <49959681+ChipKerchner@users.noreply.github.com> Co-authored-by: Abhinav Goyal <abhinav.goyal@flipkart.com> Co-authored-by: xwjiang2010 <87673679+xwjiang2010@users.noreply.github.com> Co-authored-by: Divakar Verma <137818590+divakar-amd@users.noreply.github.com> Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com> Co-authored-by: Robert Shaw <rshaw@neuralmagic> Co-authored-by: wangding zeng <155410488+zwd003@users.noreply.github.com> Co-authored-by: Lily Liu <lilyliupku@gmail.com> Co-authored-by: LiuXiaoxuanPKU <llilyliupku@gmail.com>, bong-furiosa <bongwon.jang@furiosa.ai> Co-authored-by: mcalman <68564154+mcalman@users.noreply.github.com> Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> Co-authored-by: llmpros <10524065+llmpros@users.noreply.github.com> Co-authored-by: sang <sangcho@anyscale.com> Co-authored-by: Avshalom Manevich <12231371+avshalomman@users.noreply.github.com> Co-authored-by: James Whedbee <jamesw@telnyx.com> Co-authored-by: Joshua Rosenkranz <jmrosenk@us.ibm.com> Co-authored-by: danieljannai21 <100521221+danieljannai21@users.noreply.github.com>
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This PR changes the TPU backend's
_PAD_SLOT_IDfrom 0 to -1. The constant is used to discard padding tokens when inserting the attention KV into the KV cache. In PyTorch XLA, it seems the index -1 can be used with theindex_copy_API to let XLA ignore the corresponding slice of tensors.