[Bugfix] Restore support for larger block sizes (#11259)
Signed-off-by: Konrad Zawora <kzawora@habana.ai>
This commit is contained in:
@@ -917,6 +917,10 @@ class CacheConfig:
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raise ValueError(
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raise ValueError(
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"GPU memory utilization must be less than 1.0. Got "
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"GPU memory utilization must be less than 1.0. Got "
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f"{self.gpu_memory_utilization}.")
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f"{self.gpu_memory_utilization}.")
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if (current_platform.is_cuda() and self.block_size is not None
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and self.block_size > 32):
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raise ValueError("CUDA Paged Attention kernel only supports "
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f"block sizes up to 32. Got {self.block_size}.")
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def _verify_cache_dtype(self) -> None:
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def _verify_cache_dtype(self) -> None:
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if self.cache_dtype == "auto":
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if self.cache_dtype == "auto":
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@@ -424,10 +424,12 @@ class EngineArgs:
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parser.add_argument('--block-size',
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parser.add_argument('--block-size',
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type=int,
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type=int,
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default=EngineArgs.block_size,
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default=EngineArgs.block_size,
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choices=[8, 16, 32],
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choices=[8, 16, 32, 64, 128],
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help='Token block size for contiguous chunks of '
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help='Token block size for contiguous chunks of '
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'tokens. This is ignored on neuron devices and '
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'tokens. This is ignored on neuron devices and '
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'set to max-model-len')
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'set to max-model-len. On CUDA devices, '
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'only block sizes up to 32 are supported. '
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'On HPU devices, block size defaults to 128.')
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parser.add_argument(
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parser.add_argument(
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"--enable-prefix-caching",
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"--enable-prefix-caching",
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