huggingface/text-generation-inference
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Fixing dtype + AMD, Ipex targets.

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This commit is contained in:
Nicolas Patry 2024-10-15 17:56:03 +02:00
parent 4fa4da3cb6
commit fa491e730b
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GPG Key ID: D2920555C90F704C
3 changed files with 4 additions and 3 deletions
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3
server/text_generation_server/layers/attention/ipex.py
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@ -66,6 +66,7 @@ def paged_attention(
softcap: Optional[float] = None, softcap: Optional[float] = None,
): ):
out = torch.empty_like(query) out = torch.empty_like(query)
input_lengths = seqlen.input_lengths + seqlen.cache_lengths
ipex.llm.modules.PagedAttention.single_query_cached_kv_attention( ipex.llm.modules.PagedAttention.single_query_cached_kv_attention(
out, out,
query, query,
@ -74,7 +75,7 @@ def paged_attention(
kv_head_mapping, kv_head_mapping,
softmax_scale, softmax_scale,
block_tables, block_tables,
seqlen.input_lengths, input_lengths,
BLOCK_SIZE, BLOCK_SIZE,
max_s, max_s,
None, None,

2
server/text_generation_server/layers/attention/rocm.py
View File

@ -104,7 +104,7 @@ def paged_attention(
_PARTITION_SIZE = _PARTITION_SIZE_CUSTOM _PARTITION_SIZE = _PARTITION_SIZE_CUSTOM
max_num_partitions = (max_s + _PARTITION_SIZE - 1) // _PARTITION_SIZE max_num_partitions = (max_s + _PARTITION_SIZE - 1) // _PARTITION_SIZE
input_lengths = seqlen.input_lengths input_lengths = seqlen.input_lengths + seqlen.cache_lengths
out = torch.empty_like(query) out = torch.empty_like(query)

2
server/text_generation_server/models/flash_causal_lm.py
View File

@ -1917,7 +1917,7 @@ class FlashCausalLM(Model):
batch.speculative_ids = speculative_ids batch.speculative_ids = speculative_ids
batch.position_ids = next_position_ids + accepted_ids batch.position_ids = next_position_ids + accepted_ids
batch.cache_lengths_tensor += batch.input_lengths_tensor batch.cache_lengths_tensor += batch.input_lengths_tensor
batch.input_lengths_tensor = accepted_ids batch.input_lengths_tensor = accepted_ids.to(dtype=torch.int32)
batch.slot_indices += accepted_ids batch.slot_indices += accepted_ids
batch.adapter_meta.adapter_indices = next_adapter_indices batch.adapter_meta.adapter_indices = next_adapter_indices