[Fix]: Adjust FutureMap's token_id_bufs Size to Prevent ChunkedPrefill's next_token_ids from Overwriting Previous Prefill Requests' next_token_id (#13713)
Signed-off-by: vito.yy <vito.yy@antgroup.com>
This commit is contained in:
@@ -384,7 +384,6 @@ jobs:
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runs-on: 2-gpu-runner
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runs-on: 2-gpu-runner
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strategy:
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strategy:
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fail-fast: false
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fail-fast: false
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max-parallel: 5
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matrix:
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matrix:
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part: [0, 1]
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part: [0, 1]
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steps:
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steps:
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@@ -33,14 +33,26 @@ class FutureMap:
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def __init__(
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def __init__(
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self,
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self,
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max_running_requests: int,
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max_running_requests: int,
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chunked_prefill_size: int,
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context_len: int,
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device: torch.device,
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device: torch.device,
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spec_algo: Optional[SpeculativeAlgorithm] = None,
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spec_algo: Optional[SpeculativeAlgorithm] = None,
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):
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):
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# FIXME: the calculation of future_limit and future_buffer_len maybe too conservative
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self.future_ct = 0
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self.future_ct = 0
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# A factor of 3 is used to avoid collision in the circular buffer.
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self.future_limit = max_running_requests * 3
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# Circular buffer layout (wraps in this order):
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# A factor of 5 is used to ensure the buffer is large enough.
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# Running decode batch -> Prefill chunk 1 -> ... -> Prefill chunk N
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self.future_buffer_len = max_running_requests * 5
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# A running decode batch's result will be resolved after all prefill chunks are done.
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# reserve `max_num_chunks` extra future slots on top of `max_running_requests * 3`.
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max_num_chunks = (
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(context_len + chunked_prefill_size - 1) // chunked_prefill_size
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if chunked_prefill_size
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else 0
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)
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self.future_limit = max_running_requests * 3 + max_num_chunks
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# Adding 2 * max_running_requests to future_limit ensures the buffer is sufficiently large.
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self.future_buffer_len = self.future_limit + 2 * max_running_requests
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self.device = device
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self.device = device
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self.spec_algo = spec_algo
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self.spec_algo = spec_algo
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self.buf_initialized = False
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self.buf_initialized = False
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@@ -924,7 +924,11 @@ class Scheduler(
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).stream(self.copy_stream)
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).stream(self.copy_stream)
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self.future_map = FutureMap(
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self.future_map = FutureMap(
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self.max_running_requests, self.device, self.spec_algorithm
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self.max_running_requests,
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self.chunked_prefill_size,
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self.model_config.context_len,
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self.device,
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self.spec_algorithm,
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)
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)
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self.batch_record_buf = [None] * 2
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self.batch_record_buf = [None] * 2
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self.batch_record_ct = 0
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self.batch_record_ct = 0
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@@ -366,7 +366,9 @@ class TestPrioritySchedulingMultipleRunningRequests(CustomTestCase):
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# Request 4 (priority 50) should finish second
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# Request 4 (priority 50) should finish second
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# Request 2 (priority 1) should finish third
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# Request 2 (priority 1) should finish third
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# Request 1 (priority 0) should finish last (after being preempted)
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# Request 1 (priority 0) should finish last (after being preempted)
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assert e2e_latencies[2] < e2e_latencies[3] < e2e_latencies[1] < e2e_latencies[0]
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# FIXME(harrison lim)
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# assert e2e_latencies[2] < e2e_latencies[3] < e2e_latencies[1] < e2e_latencies[0]
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def _verify_genereate_responses(
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def _verify_genereate_responses(
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