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Minor
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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parent
a6e5d7b5b7
commit
1260e43230
@ -88,7 +88,7 @@ class BlockTable:
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# Clear the source row.
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# Clear the source row.
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self.block_table_diff_np[src].fill(0)
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self.block_table_diff_np[src].fill(0)
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def apply_diff(self, num_reqs: int) -> None:
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def commit(self, num_reqs: int) -> None:
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if self.use_uva:
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if self.use_uva:
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# Only copy the diff to the GPU.
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# Only copy the diff to the GPU.
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ops.copy_subranges(
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ops.copy_subranges(
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@ -103,6 +103,7 @@ class BlockTable:
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# table is large.
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# table is large.
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self.block_table[:num_reqs].copy_(self.block_table_cpu[:num_reqs],
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self.block_table[:num_reqs].copy_(self.block_table_cpu[:num_reqs],
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non_blocking=True)
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non_blocking=True)
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self.clear_diff()
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def clear(self) -> None:
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def clear(self) -> None:
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self.block_table.fill_(0)
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self.block_table.fill_(0)
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@ -163,9 +163,6 @@ class GPUModelRunner:
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self.seq_start_loc_np = self.seq_start_loc_cpu.numpy()
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self.seq_start_loc_np = self.seq_start_loc_cpu.numpy()
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def _update_states(self, scheduler_output: "SchedulerOutput") -> None:
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def _update_states(self, scheduler_output: "SchedulerOutput") -> None:
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# Clean up diffs.
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self.input_batch.block_table.clear_diff()
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# Remove stopped requests from the cached states.
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# Remove stopped requests from the cached states.
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# Keep the states of the pre-empted requests.
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# Keep the states of the pre-empted requests.
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for req_id in scheduler_output.finished_req_ids:
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for req_id in scheduler_output.finished_req_ids:
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@ -270,7 +267,7 @@ class GPUModelRunner:
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# OPTIMIZATION: Start copying the block table first.
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# OPTIMIZATION: Start copying the block table first.
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# This way, we can overlap the copy with the following CPU operations.
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# This way, we can overlap the copy with the following CPU operations.
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self.input_batch.block_table.apply_diff(num_reqs)
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self.input_batch.block_table.commit(num_reqs)
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# Get the number of scheduled tokens for each request.
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# Get the number of scheduled tokens for each request.
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# TODO: The Python loop can be slow. Optimize.
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# TODO: The Python loop can be slow. Optimize.
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