Model: Robust request length checking in generator

* Ensure that length of positive/negative prompt + max_tokens does not exceed max_seq_len
* Ensure that total required pages for CFG request does not exceed allocated cache_size
This commit is contained in:
DocShotgun 2024-12-17 09:34:43 -08:00
parent c23e406f2d
commit 5da335eb3d

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@ -1301,17 +1301,51 @@ class ExllamaV2Container:
# The first index will always be the positive prompt
context_len = input_ids[0].size(dim=-1)
if context_len > self.config.max_seq_len:
raise ValueError(
f"Context length {context_len} is greater than max_seq_len "
f"{self.config.max_seq_len}"
)
# The second index will be the negative prompt if CFG is enabled
if negative_prompt is not None:
negative_context_len = input_ids[1].size(dim=-1)
else:
negative_context_len = 0
# Automatically set max_tokens to fill up the context
# This should be an OK default, but may be changed in the future
max_tokens = unwrap(
kwargs.get("max_tokens"), self.config.max_seq_len - context_len
kwargs.get("max_tokens"),
self.config.max_seq_len - max(context_len, negative_context_len),
)
if max_tokens < 1:
logger.warning("max_tokens must be a positive integer, " "setting to 1.")
max_tokens = 1
# Check total length of request
if context_len + max_tokens > self.config.max_seq_len:
raise ValueError(
f"Request length {context_len} + {max_tokens} is greater than "
f"max_seq_len {self.config.max_seq_len}"
)
# Check total length of negative prompt request if CFG is enabled
if negative_prompt is not None:
if context_len + max_tokens > self.config.max_seq_len:
raise ValueError(
f"Request length for negative prompt "
f"{negative_context_len} + {max_tokens} is greater than "
f"max_seq_len {self.config.max_seq_len}"
)
# Check total required pages for CFG request
if (
sum(
256 * math.ceil((context + max_tokens) / 256)
for context in (context_len, negative_context_len)
)
> self.cache_size
):
raise ValueError(
f"Total required page size for request "
f"{context_len} + {negative_context_len} + {max_tokens} * 2 "
f"is greater than cache_size {self.cache_size}"
)
# Set min_tokens to generate while keeping EOS banned
min_tokens = unwrap(kwargs.get("min_tokens"), 0)