Fix docs for clip max new tokens (#9082)
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@@ -67,7 +67,6 @@ Please be aware that this setting will cause prefill instances to take a longer
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| **`SGLANG_DISAGGREGATION_HEARTBEAT_INTERVAL`** | Interval (seconds) between health checks to prefill bootstrap servers | `5.0` |
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| **`SGLANG_DISAGGREGATION_HEARTBEAT_MAX_FAILURE`** | Consecutive heartbeat failures before marking prefill server offline | `2` |
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| **`SGLANG_DISAGGREGATION_WAITING_TIMEOUT`** | Timeout (seconds) for receiving KV Cache after request initialization | `300` |
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| **`SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION`** | Clip request param "max_tokens" to pre_allocate | `4096` |
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If a greater mean TTFT is acceptable, you can `export SGLANG_DISAGGREGATION_WAITING_TIMEOUT=600` (10 minutes) to relax the timeout condition.
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@@ -45,7 +45,7 @@ SGLang supports various environment variables that can be used to configure its
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| Environment Variable | Description | Default Value |
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| --- | --- | --- |
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| `SGLANG_DEBUG_MEMORY_POOL` | Enable memory pool debugging | `false` |
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| `SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION` | Clip max new tokens estimation for memory planning | Not set |
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| `SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION` | Clip max new tokens estimation for memory planning | `4096` |
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| `SGLANG_DETOKENIZER_MAX_STATES` | Maximum states for detokenizer | Default value based on system |
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| `SGL_DISABLE_TP_MEMORY_INBALANCE_CHECK` | Disable checks for memory imbalance across Tensor Parallel ranks | Not set (defaults to enabled check) |
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@@ -59,9 +59,7 @@ if TYPE_CHECKING:
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from sglang.srt.managers.schedule_batch import Req
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from sglang.srt.managers.scheduler import Scheduler
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DECODE_CLIP_MAX_NEW_TOKEN = get_int_env_var(
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"SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION", 4096
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)
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CLIP_MAX_NEW_TOKEN = get_int_env_var("SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION", 4096)
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class DecodeReqToTokenPool:
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@@ -390,7 +388,7 @@ class DecodePreallocQueue:
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origin_input_len
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+ min(
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decode_req.req.sampling_params.max_new_tokens,
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DECODE_CLIP_MAX_NEW_TOKEN,
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CLIP_MAX_NEW_TOKEN,
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)
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- retractable_tokens,
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)
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@@ -440,7 +438,7 @@ class DecodePreallocQueue:
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need_space_for_single_req = (
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max(
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[
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min(x.sampling_params.max_new_tokens, DECODE_CLIP_MAX_NEW_TOKEN)
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min(x.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKEN)
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+ len(x.origin_input_ids)
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- retractable_tokens
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for x in self.scheduler.running_batch.reqs
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@@ -36,7 +36,7 @@ if TYPE_CHECKING:
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# This can prevent the server from being too conservative.
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# Note that this only clips the estimation in the scheduler but does not change the stop
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# condition. The request can still generate tokens until it hits the unclipped max_new_tokens.
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CLIP_MAX_NEW_TOKENS_ESTIMATION = int(
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CLIP_MAX_NEW_TOKENS = int(
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os.environ.get("SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION", "4096")
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)
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@@ -305,7 +305,7 @@ class PrefillAdder:
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[
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min(
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(r.sampling_params.max_new_tokens - len(r.output_ids)),
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CLIP_MAX_NEW_TOKENS_ESTIMATION,
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CLIP_MAX_NEW_TOKENS,
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)
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* self.new_token_ratio
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for r in running_batch.reqs
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@@ -388,7 +388,7 @@ class PrefillAdder:
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0,
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req.extend_input_len,
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(
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min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS_ESTIMATION)
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min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS)
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if not truncated
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else 0
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),
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@@ -477,7 +477,7 @@ class PrefillAdder:
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self._update_prefill_budget(
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0,
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req.extend_input_len,
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min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS_ESTIMATION),
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min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS),
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)
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else:
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if self.rem_chunk_tokens == 0:
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@@ -499,7 +499,7 @@ class PrefillAdder:
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return self.add_one_req_ignore_eos(req, has_chunked_req)
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total_tokens = req.extend_input_len + min(
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req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS_ESTIMATION
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req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS
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)
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# adjusting the input_tokens based on host_hit_length and page_size
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@@ -544,7 +544,7 @@ class PrefillAdder:
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input_tokens,
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min(
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req.sampling_params.max_new_tokens,
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CLIP_MAX_NEW_TOKENS_ESTIMATION,
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CLIP_MAX_NEW_TOKENS,
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),
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)
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else:
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