aphrodite-engine/aphrodite/processing/block_manager.py

"""A block manager that manages token blocks."""
import enum
from itertools import count, takewhile
from os.path import commonprefix
from typing import Dict, List, Optional, Set, Tuple

from aphrodite.common.block import BlockTable, PhysicalTokenBlock
from aphrodite.common.sequence import Sequence, SequenceGroup, SequenceStatus
from aphrodite.common.utils import Device
from aphrodite.processing.evictor import Evictor, EvictionPolicy, make_evictor


class BlockAllocator:
    """Manages free physical token blocks for a device.

    The allocator maintains a list of free blocks and allocates a block when
    requested. When a block is freed, its reference count is decremented. If
    the reference count becomes zero, the block is added back to the free list.
    """

    def __init__(self,
                 device: Device,
                 block_size: int,
                 num_blocks: int,
                 eviction_policy: EvictionPolicy = EvictionPolicy.LRU,
                 enable_caching: bool = False) -> None:
        self.device = device
        self.block_size = block_size
        self.num_blocks = num_blocks
        self.enable_caching = enable_caching

        self.current_num_blocks = 0
        self.cached_blocks: Dict[int, PhysicalTokenBlock] = {}

        # Switch over to FIFO eviction when caching is disabled
        if not self.enable_caching:
            eviction_policy = EvictionPolicy.FIFO
        self.evictor: Evictor = make_evictor(eviction_policy)

        self.default_hash_ctr = count()

    def allocate_block(self, block_hash: int,
                       num_hashed_tokens: int) -> PhysicalTokenBlock:
        if self.current_num_blocks == self.num_blocks:
            block = self.evictor.evict()
            block.block_hash = block_hash
            block.num_hashed_tokens = num_hashed_tokens
            return block
        block = PhysicalTokenBlock(device=self.device,
                                   block_number=self.current_num_blocks,
                                   block_size=self.block_size,
                                   block_hash=block_hash,
                                   num_hashed_tokens=num_hashed_tokens)
        self.current_num_blocks += 1
        return block

    def allocate(self,
                 block_hash: Optional[int] = None,
                 num_hashed_tokens: int = 0) -> PhysicalTokenBlock:
        # If caching is disabled, just allocate a new block and return it
        if not self.enable_caching:
            block = self.allocate_block(next(self.default_hash_ctr),
                                        num_hashed_tokens)
            block.ref_count += 1
            return block

        if block_hash is None:
            block_hash = next(self.default_hash_ctr)
        if block_hash in self.evictor:
            assert block_hash not in self.cached_blocks
            block = self.evictor.remove(block_hash)
            assert block.ref_count == 0
            self.cached_blocks[block_hash] = block
            block.ref_count += 1
            assert block.block_hash == block_hash
            return block
        if block_hash not in self.cached_blocks:
            self.cached_blocks[block_hash] = self.allocate_block(
                block_hash, num_hashed_tokens)
        block = self.cached_blocks[block_hash]
        assert block.block_hash == block_hash
        block.ref_count += 1
        return block

    def free(self, block: PhysicalTokenBlock) -> None:
        if block.ref_count == 0:
            raise ValueError(f"Double free! {block} is already freed.")
        block.ref_count -= 1
        if block.ref_count == 0:
            assert block.block_hash not in self.evictor
            self.evictor.add(block)

            # If caching is enabled, remove the block from the cached_blocks
            if self.enable_caching:
                del self.cached_blocks[block.block_hash]

    def get_num_free_blocks(self) -> int:
        return (self.num_blocks - self.current_num_blocks +
                self.evictor.num_blocks)

    def contains_block(self, block_hash: int) -> bool:
        return block_hash in self.cached_blocks or block_hash in self.evictor

    def update_hash(self, block_hash: int, block: PhysicalTokenBlock):
        # If caching is enabled, update the hash of block and the cached_blocks
        # dictionary.
        if self.enable_caching:
            assert not self.contains_block(block_hash)
            old_hash = block.block_hash
            block.block_hash = block_hash
            del self.cached_blocks[old_hash]
            self.cached_blocks[block_hash] = block


class AllocStatus(enum.Enum):
    """Result for BlockSpaceManager.can_allocate

    1. Ok: seq_group can be allocated now.
    2. Later: seq_group cannot be allocated.
      The capacity of allocator is larger than seq_group required.
    3. Never: seq_group can never be allocated.
      The seq_group is too large to allocated in GPU.
    """
    OK = enum.auto()
    LATER = enum.auto()
    NEVER = enum.auto()


class BlockSpaceManager:
    """Manages the mapping between logical and physical token blocks."""

    def __init__(
        self,
        block_size: int,
        num_gpu_blocks: int,
        num_cpu_blocks: int,
        watermark: float = 0.01,
        sliding_window: Optional[int] = None,
        enable_caching: bool = False,
    ) -> None:
        self.block_size = block_size
        self.num_total_gpu_blocks = num_gpu_blocks
        self.num_total_cpu_blocks = num_cpu_blocks

        self.block_sliding_window = None
        if sliding_window is not None:
            assert sliding_window % block_size == 0, (sliding_window,
                                                      block_size)
            self.block_sliding_window = sliding_window // block_size

        self.watermark = watermark
        assert watermark >= 0.0

        self.enable_caching = enable_caching

        self.watermark_blocks = int(watermark * num_gpu_blocks)
        self.gpu_allocator = BlockAllocator(Device.GPU,
                                            block_size,
                                            num_gpu_blocks,
                                            enable_caching=enable_caching)
        self.cpu_allocator = BlockAllocator(Device.CPU,
                                            block_size,
                                            num_cpu_blocks,
                                            enable_caching=enable_caching)
        # Mapping: seq_id -> BlockTable.
        self.block_tables: Dict[int, BlockTable] = {}

    def can_allocate(self, seq_group: SequenceGroup) -> AllocStatus:
        # FIXME: Here we assume that all sequences in the group share
        # the same prompt. This may not be true for preempted sequences.
        seq = seq_group.get_seqs(status=SequenceStatus.WAITING)[0]
        num_required_blocks = len(seq.logical_token_blocks)

        if self.block_sliding_window is not None:
            num_required_blocks = min(num_required_blocks,
                                      self.block_sliding_window)
        num_free_gpu_blocks = self.gpu_allocator.get_num_free_blocks()

        # Use watermark to avoid frequent cache eviction.
        if (self.num_total_gpu_blocks - num_required_blocks <
                self.watermark_blocks):
            return AllocStatus.NEVER
        if num_free_gpu_blocks - num_required_blocks >= self.watermark_blocks:
            return AllocStatus.OK
        else:
            return AllocStatus.LATER

    def allocate(self, seq_group: SequenceGroup) -> None:
        # NOTE: Here we assume that all sequences in the group have the same
        # prompt.
        seq = seq_group.get_seqs(status=SequenceStatus.WAITING)[0]

        # Allocate new physical token blocks that will store the prompt tokens.
        num_prompt_blocks = len(seq.logical_token_blocks)

        block_table: BlockTable = []
        for logical_idx in range(num_prompt_blocks):
            if (self.block_sliding_window is not None
                    and logical_idx >= self.block_sliding_window):
                block = block_table[logical_idx % self.block_sliding_window]
            else:
                block = self.gpu_allocator.allocate(
                    seq.hash_of_block(logical_idx),
                    seq.num_hashed_tokens_of_block(logical_idx))
            block_table.append(block)

        # Assign the block table for each sequence.
        for seq in seq_group.get_seqs(status=SequenceStatus.WAITING):
            self.block_tables[seq.seq_id] = block_table.copy()

    def can_append_slot(self, seq_group: SequenceGroup) -> bool:
        # Simple heuristic: If there is at least one free block
        # for each sequence, we can append.
        num_free_gpu_blocks = self.gpu_allocator.get_num_free_blocks()
        num_seqs = seq_group.num_seqs(status=SequenceStatus.RUNNING)
        return num_seqs <= num_free_gpu_blocks

    def _promote_last_block(
        self,
        seq: Sequence,
        last_block: PhysicalTokenBlock,
    ) -> PhysicalTokenBlock:
        # Compute a new hash for the block so that it can be shared by other
        # Sequences
        new_hash = seq.hash_of_block(len(seq.logical_token_blocks) - 1)

        # if new_hash is already in the cached table, then free last_block and
        # return the cached version
        if self.gpu_allocator.contains_block(new_hash):
            self.gpu_allocator.free(last_block)
            return self.gpu_allocator.allocate(new_hash)
        else:
            self.gpu_allocator.update_hash(new_hash, last_block)
            return last_block

    def _is_last_block_full(
        self,
        seq: Sequence,
    ) -> bool:
        token_ids_len = len(seq.data.get_token_ids())
        return token_ids_len > 0 and token_ids_len % seq.block_size == 0

    def _maybe_promote_last_block(
        self,
        seq: Sequence,
        last_block: PhysicalTokenBlock,
    ) -> PhysicalTokenBlock:
        if self._is_last_block_full(seq):
            return self._promote_last_block(seq, last_block)
        else:
            return last_block

    def _allocate_last_physical_block(
        self,
        seq: Sequence,
    ) -> PhysicalTokenBlock:
        block_hash: Optional[int] = None
        if self._is_last_block_full(seq):
            block_hash = seq.hash_of_block(len(seq.logical_token_blocks) - 1)
        num_hashed_tokens = seq.num_hashed_tokens_of_block(
            len(seq.logical_token_blocks) - 1)
        new_block = self.gpu_allocator.allocate(block_hash, num_hashed_tokens)
        if block_hash is None:
            assert new_block.ref_count == 1
        return new_block

    def append_slot(
        self,
        seq: Sequence,
    ) -> Optional[Tuple[int, int]]:
        """Allocate a physical slot for a new token."""
        logical_blocks = seq.logical_token_blocks
        block_table = self.block_tables[seq.seq_id]
        # If we need to allocate a new physical block
        if len(block_table) < len(logical_blocks):
            # Currently this code only supports adding one physical block
            assert len(block_table) == len(logical_blocks) - 1

            if (self.block_sliding_window
                    and len(block_table) >= self.block_sliding_window):
                # reuse a block
                block_table.append(block_table[len(block_table) %
                                               self.block_sliding_window])
            else:
                # The sequence has a new logical block.
                # Allocate a new physical block.
                new_block = self._allocate_last_physical_block(seq)
                block_table.append(new_block)
                return None

        # We want to append the token to the last physical block.
        last_block = block_table[-1]
        assert last_block.device == Device.GPU
        if last_block.ref_count == 1:
            # Not shared with other sequences. Appendable.
            # If the last block is now complete, promote it to a full block so
            # that it can be shared
            new_block = self._maybe_promote_last_block(seq, last_block)
            block_table[-1] = new_block
            return None
        else:
            # The last block is shared with other sequences.
            # Copy on Write: Allocate a new block and copy the tokens.
            new_block = self._allocate_last_physical_block(seq)

            block_table[-1] = new_block
            self.gpu_allocator.free(last_block)
            return last_block.block_number, new_block.block_number

    def fork(self, parent_seq: Sequence, child_seq: Sequence) -> None:
        # NOTE: fork does not allocate a new physical block.
        # Thus, it is always safe from OOM.
        src_block_table = self.block_tables[parent_seq.seq_id]
        self.block_tables[child_seq.seq_id] = src_block_table.copy()
        for block in src_block_table:
            block.ref_count += 1

    def _get_physical_blocks(
            self, seq_group: SequenceGroup) -> List[PhysicalTokenBlock]:
        # NOTE: Here, we assume that the physical blocks are only shared by
        # the sequences in the same group.
        blocks: Set[PhysicalTokenBlock] = set()
        for seq in seq_group.get_seqs():
            if seq.is_finished():
                continue
            blocks.update(self.block_tables[seq.seq_id])
        return list(blocks)

    def can_swap_in(self, seq_group: SequenceGroup) -> bool:
        blocks = self._get_physical_blocks(seq_group)
        num_swapped_seqs = seq_group.num_seqs(status=SequenceStatus.SWAPPED)
        num_free_blocks = self.gpu_allocator.get_num_free_blocks()
        # NOTE: Conservatively, we assume that every sequence will allocate
        # at least one free block right after the swap-in.
        # NOTE: This should match the logic in can_append_slot().
        num_required_blocks = len(blocks) + num_swapped_seqs
        return num_free_blocks - num_required_blocks >= self.watermark_blocks

    def swap_in(self, seq_group: SequenceGroup) -> Dict[int, int]:
        # CPU block -> GPU block.
        mapping: Dict[PhysicalTokenBlock, PhysicalTokenBlock] = {}
        for seq in seq_group.get_seqs(status=SequenceStatus.SWAPPED):
            new_block_table: BlockTable = []
            block_table = self.block_tables[seq.seq_id]

            for cpu_block in block_table:
                if cpu_block in mapping:
                    gpu_block = mapping[cpu_block]
                    gpu_block.ref_count += 1
                else:
                    gpu_block = self.gpu_allocator.allocate(
                        cpu_block.block_hash, cpu_block.num_hashed_tokens)
                    mapping[cpu_block] = gpu_block
                new_block_table.append(gpu_block)
                # Free the CPU block swapped in to GPU.
                self.cpu_allocator.free(cpu_block)
            self.block_tables[seq.seq_id] = new_block_table

        block_number_mapping = {
            cpu_block.block_number: gpu_block.block_number
            for cpu_block, gpu_block in mapping.items()
        }
        return block_number_mapping

    def can_swap_out(self, seq_group: SequenceGroup) -> bool:
        blocks = self._get_physical_blocks(seq_group)
        return len(blocks) <= self.cpu_allocator.get_num_free_blocks()

    def swap_out(self, seq_group: SequenceGroup) -> Dict[int, int]:
        # GPU block -> CPU block.
        mapping: Dict[PhysicalTokenBlock, PhysicalTokenBlock] = {}
        for seq in seq_group.get_seqs(status=SequenceStatus.RUNNING):
            new_block_table: BlockTable = []
            block_table = self.block_tables[seq.seq_id]

            for gpu_block in block_table:
                if gpu_block in mapping:
                    cpu_block = mapping[gpu_block]
                    cpu_block.ref_count += 1
                else:
                    cpu_block = self.cpu_allocator.allocate(
                        gpu_block.block_hash, gpu_block.num_hashed_tokens)
                    mapping[gpu_block] = cpu_block
                new_block_table.append(cpu_block)
                # Free the GPU block swapped out to CPU.
                self.gpu_allocator.free(gpu_block)
            self.block_tables[seq.seq_id] = new_block_table

        block_number_mapping = {
            gpu_block.block_number: cpu_block.block_number
            for gpu_block, cpu_block in mapping.items()
        }
        return block_number_mapping

    def _free_block_table(self, block_table: BlockTable) -> None:
        for block in set(block_table):
            if block.device == Device.GPU:
                self.gpu_allocator.free(block)
            else:
                self.cpu_allocator.free(block)

    def free(self, seq: Sequence) -> None:
        if seq.seq_id not in self.block_tables:
            # Already freed or haven't been scheduled yet.
            return
        block_table = self.block_tables[seq.seq_id]
        self._free_block_table(block_table)
        del self.block_tables[seq.seq_id]

    def reset(self) -> None:
        for block_table in self.block_tables.values():
            self._free_block_table(block_table)
        self.block_tables.clear()

    def get_block_table(self, seq: Sequence) -> List[int]:
        block_table = self.block_tables[seq.seq_id]
        return [block.block_number for block in block_table]

    def get_num_free_gpu_blocks(self) -> int:
        return self.gpu_allocator.get_num_free_blocks()

    def get_num_free_cpu_blocks(self) -> int:
        return self.cpu_allocator.get_num_free_blocks()

    def access_all_blocks_in_seq(
        self,
        seq: Sequence,
        access_time: float,
    ) -> None:
        block_table = self.block_tables[seq.seq_id]
        for block in block_table:
            block.last_accessed = access_time

    def compute_full_blocks_in_seq(self, seq: Sequence):
        if seq.seq_id not in self.block_tables:
            return
        max_full_block = seq.get_len() // self.block_size - 1
        block_table = self.block_tables[seq.seq_id]
        if max_full_block == -1:
            return
        for i in reversed(range(max_full_block)):
            if block_table[i].computed:
                break
            block_table[i].computed = True

    def get_all_computed_blocks(self, seq: Sequence) -> List[int]:
        if seq.seq_id not in self.block_tables:
            return []
        block_table = self.block_tables[seq.seq_id]
        # NOTE We exclude the last block to avoid the case where the entire
        # prompt is cached. This would cause erroneous behavior in model
        # runner.
        return [
            b.block_number
            for b in takewhile(lambda b: b.computed, block_table[:-1])
        ]

    def get_common_computed_block_ids(self,
                                      seq_group: SequenceGroup) -> List[int]:
        # Can return non-empty result only with prefix caching enabled.
        if not self.enable_caching:
            return []

        ids_list = [
            self.get_all_computed_blocks(seq)
            for seq in iter(seq_group.seqs_dict.values())
        ]
        return commonprefix([ids for ids in ids_list if ids != []])

    def mark_blocks_as_computed(self, seq_group: SequenceGroup):
        if self.enable_caching:
            for seq in seq_group.seqs_dict.values():
                self.compute_full_blocks_in_seq(seq)