Optimize data movement (#20)
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@@ -12,6 +12,7 @@ class InputMetadata:
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seq_groups: List[Tuple[List[int], SamplingParams]],
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seq_logprobs: Dict[int, float], # Seq id -> cumulative logprobs.
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prompt_lens: List[int],
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cumulative_prompt_lens: torch.Tensor,
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slot_mapping: torch.Tensor,
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context_lens: torch.Tensor,
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max_context_len: int,
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@@ -20,6 +21,7 @@ class InputMetadata:
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self.seq_groups = seq_groups
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self.seq_logprobs = seq_logprobs
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self.prompt_lens = prompt_lens
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self.cumulative_prompt_lens = cumulative_prompt_lens
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self.slot_mapping = slot_mapping
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self.context_lens = context_lens
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self.max_context_len = max_context_len
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@@ -27,6 +29,7 @@ class InputMetadata:
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self.num_prompts = len(prompt_lens)
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self.num_prompt_tokens = sum(prompt_lens)
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self.max_prompt_len = max(prompt_lens) if prompt_lens else 0
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self.num_generation_tokens = context_lens.shape[0]
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self.num_valid_tokens = slot_mapping.shape[0]
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if block_tables.numel() > 0:
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@@ -40,11 +43,13 @@ class InputMetadata:
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return (f'InputMetadata('
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f'num_prompts={self.num_prompts}, '
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f'num_prompt_tokens={self.num_prompt_tokens}, '
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f'max_prompt_len={self.max_prompt_len}, '
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f'num_generation_tokens={self.num_generation_tokens}, '
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f'num_valid_tokens={self.num_valid_tokens}, '
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f'max_num_blocks_per_seq={self.max_num_blocks_per_seq}, '
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f'max_context_len={self.max_context_len}), '
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f'prompt_lens={self.prompt_lens}, '
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f'cumulative_prompt_lens={self.cumulative_prompt_lens}, '
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f'slot_mapping={self.slot_mapping}, '
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f'context_lens={self.context_lens}, '
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f'block_tables={self.block_tables})')
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