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[Bugfix / Core] Prefix Caching Guards (merged with main) #4846

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merged 32 commits into from
May 27, 2024

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zhuohan123
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Updated version of #3903


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@zhuohan123 zhuohan123 changed the title Prefix caching guards new [Bugfix / Core] Prefix Caching Guards (merged with main) May 16, 2024
@@ -251,6 +263,18 @@ def get_sliding_window(self) -> Optional[int]:
return None
return getattr(self.hf_text_config, "sliding_window", None)

def get_sliding_window(self) -> Optional[int]:
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How does it work for the model that already has sliding window like mistral?

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Im not sure what you mean?

If the user does not specify --disable-sliding-window then we use sliding window if the model supports it

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oh maybe it is a dumb question, but my question is for models that has slinding window by default https://huggingface.co/mistralai/Mistral-7B-v0.1/blob/26bca36bde8333b5d7f72e9ed20ccda6a618af24/config.json#L18, if we use --disable-sliding-window, does it work properly?

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Yes, specifically what this does is handle a case like Mistral.

--disable-sliding-window means we turn off sliding window and set max_model_len=sliding_window

So in the case of Mistral, we then would treat the model as a 4096 ctx-len model with no sliding window.

The reason for this feature is that if we want to use features that are incompatible with sliding window (e.g. APC or chunked prefill), then there is a pathway to disable sliding window

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I see. that makes sense! Thanks for the explanation

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LGTM. Minor comments. Didn't review _get_and_verify_max_len and _get_and_verify_dtype assuming it is just code refactored (lmk if it is wrong)

vllm/config.py Outdated
if self.disable_sliding_window:
logger.info("Sliding window is disabled per configuration. "
"Model max length will be capped at sliding window "
"length.")
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Suggested change
"length.")
"length, %d tokens", self.get_hf_config_sliding_window())

parser.add_argument('--disable-sliding-window',
action='store_true',
help='Disables sliding window if the model '
'supports sliding window')
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Can you mention the model length is capped by the slinding window size?

@robertgshaw2-neuralmagic
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because sliding window is propogated to attention, this is going to require me to edit most model files.

Will get back to this tomorrow after I get mistral over the line

@@ -173,18 +168,14 @@ def __init__(
# Requires transformers > 4.32.0
rope_theta = getattr(config, "rope_theta", 1000000)
rope_scaling = getattr(config, "rope_scaling", None)
use_sliding_window = (config.use_sliding_window
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{
  "architectures": [
    "Qwen2ForCausalLM"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 151643,
  "eos_token_id": 151645,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 11008,
  "max_position_embeddings": 32768,
  "max_window_layers": 28,          << qwen2 uses sliding window for some layers
  "model_type": "qwen2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "rms_norm_eps": 1e-06,
  "rope_theta": 1000000.0,
  "sliding_window": 32768,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.37.0",
  "use_cache": true,
  "use_sliding_window": false,       << qwen2 does not use sliding window by default
  "vocab_size": 151936
}

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I think we had a bug in Qwen2 - this path will not be followed very often b/c qwen2 does not use sliding window by default

Currently, if use_sliding_window=True, only some layers will use sliding window. But we have global KV cache management that would treat KVs the same. So I do not see how it is possible that this could be working correctly.

This is not a very common user path because they would have to opt into sliding window on Qwen.

So I disabled this by default.

@robertgshaw2-neuralmagic
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Disabling sliding window ended up being more work than I expected because we broke some abstractions where the models are accessing the hf_config to determine whether sliding window is used when passing arguments to attention. As a result, the user's specification is ignored.

So, I updated Attention to use the cache_config's value, which is set properly rather than letting the model definition specify. This enabled me to remove the sliding_window argument from the various layers in the model.

Additionally, I noticed in this that Qwen2 attempts to support having only some layers with sliding window. We do not support this in our KV cache management, so I removed this bug by Failing if the system is configured this way. (note: this is not a popular codepath b/c Qwen2 does not use sliding window by default.

@zhuohan123 zhuohan123 merged commit 1102bef into main May 27, 2024
63 checks passed
dtrifiro pushed a commit to opendatahub-io/vllm that referenced this pull request May 31, 2024
…t#4846)

Co-authored-by: rsnm2 <rshaw@neuralmagic.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
mawong-amd pushed a commit to ROCm/vllm that referenced this pull request Jun 3, 2024
…t#4846)

Co-authored-by: rsnm2 <rshaw@neuralmagic.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
triple-Mu pushed a commit to CC-LLM/vllm that referenced this pull request Jun 5, 2024
…t#4846)

Co-authored-by: rsnm2 <rshaw@neuralmagic.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
robertgshaw2-neuralmagic added a commit to neuralmagic/nm-vllm that referenced this pull request Jun 8, 2024
…t#4846)

Co-authored-by: rsnm2 <rshaw@neuralmagic.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
robertgshaw2-neuralmagic added a commit to neuralmagic/nm-vllm that referenced this pull request Jun 8, 2024
…t#4846)

Co-authored-by: rsnm2 <rshaw@neuralmagic.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
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3 participants