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fix mllama crash if bs>0 and filter

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
This commit is contained in:
Wang, Yi A 2025-06-11 20:07:48 -07:00
parent b1ae4ad260
commit bba260912c
2 changed files with 15 additions and 3 deletions
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15
backends/gaudi/server/text_generation_server/models/flash_causal_lm.py
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@ -1075,8 +1075,19 @@ class FlashCausalLMBatch(Batch):
input_ids = [0] * extra_pad + input_ids input_ids = [0] * extra_pad + input_ids
self.input_ids = torch.tensor(input_ids, dtype=torch.int64, device=device) self.input_ids = torch.tensor(input_ids, dtype=torch.int64, device=device)
else: else:
self.input_ids = F.pad(self.input_ids, (extra_pad, 0), value=0) input_ids = self.input_ids.new_zeros(max_padded_input_len * len(self))
input_ids_padded_length.extend([extra_pad] * len(self)) src_pos = 0
for i in range(len(self)):
end_pos = (i + 1) * max_padded_input_len
start_pos = end_pos - self.input_lengths[i]
input_ids[start_pos:end_pos] = self.input_ids[
src_pos : src_pos + self.input_lengths[i]
]
input_ids_padded_length.append(
max_padded_input_len - self.input_lengths[i]
)
src_pos += self.input_lengths[i]
self.input_ids = input_ids
self.input_ids = F.pad( self.input_ids = F.pad(
self.input_ids, (0, extra_pad_bs * max_padded_input_len), value=0 self.input_ids, (0, extra_pad_bs * max_padded_input_len), value=0

3
backends/gaudi/server/text_generation_server/models/mllama_causal_lm.py
View File

@ -80,7 +80,7 @@ class FlashMllamaCausalLMBatch(FlashVlmCausalLMBatch):
@tracer.start_as_current_span("filter") @tracer.start_as_current_span("filter")
def filter(self, request_ids: List[int]): def filter(self, request_ids: List[int]):
assert self.image_indices is not None assert self.image_indices is not None
batch = super().filter(request_ids) batch = super(FlashVlmCausalLMBatch, self).filter(request_ids)
assert self.image_indices is not None assert self.image_indices is not None
indices = [] indices = []
for i, request_id in enumerate(request_ids): for i, request_id in enumerate(request_ids):
@ -106,6 +106,7 @@ class FlashMllamaCausalLMBatch(FlashVlmCausalLMBatch):
] ]
else: else:
batch.cross_attention_states = None batch.cross_attention_states = None
batch.pixel_values = None
return batch return batch
@classmethod @classmethod