Inline extend_range accessors and remove the extend_input_len/fill_len properties (#27611)
This commit is contained in:
@@ -381,9 +381,8 @@ def prepare_inputs_for_correctness_test(bench_args, tokenizer, custom_prompts):
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sampling_params=sampling_params,
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sampling_params=sampling_params,
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)
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)
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req.full_untruncated_fill_ids = req.origin_input_ids
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req.full_untruncated_fill_ids = req.origin_input_ids
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req.fill_len = len(req.full_untruncated_fill_ids)
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req.logprob_start_len = -1
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req.logprob_start_len = -1
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req.set_extend_input_len(req.fill_len - len(req.prefix_indices))
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req.set_extend_range(len(req.prefix_indices), len(req.origin_input_ids))
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reqs.append(req)
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reqs.append(req)
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return input_ids, reqs
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return input_ids, reqs
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@@ -395,14 +394,15 @@ def prepare_extend_inputs_for_correctness_test(
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for i in range(len(reqs)):
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for i in range(len(reqs)):
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req: Req = reqs[i]
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req: Req = reqs[i]
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req.full_untruncated_fill_ids.extend(input_ids[i][bench_args.cut_len :])
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req.full_untruncated_fill_ids.extend(input_ids[i][bench_args.cut_len :])
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req.fill_len = len(req.full_untruncated_fill_ids)
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if model_runner is not None:
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if model_runner is not None:
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# Use req.req_pool_idx instead of i to handle slot 0 padding correctly
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# Use req.req_pool_idx instead of i to handle slot 0 padding correctly
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req.prefix_indices = model_runner.req_to_token_pool.req_to_token[
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req.prefix_indices = model_runner.req_to_token_pool.req_to_token[
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req.req_pool_idx, : bench_args.cut_len
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req.req_pool_idx, : bench_args.cut_len
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].to(req.prefix_indices.dtype)
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].to(req.prefix_indices.dtype)
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req.logprob_start_len = -1
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req.logprob_start_len = -1
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req.set_extend_input_len(req.fill_len - len(req.prefix_indices))
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req.set_extend_range(
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len(req.prefix_indices), len(req.full_untruncated_fill_ids)
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)
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return reqs
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return reqs
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@@ -428,9 +428,8 @@ def prepare_synthetic_inputs_for_latency_test(
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sampling_params=sampling_params,
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sampling_params=sampling_params,
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)
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)
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req.full_untruncated_fill_ids = req.origin_input_ids
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req.full_untruncated_fill_ids = req.origin_input_ids
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req.fill_len = len(req.full_untruncated_fill_ids)
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req.logprob_start_len = -1
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req.logprob_start_len = -1
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req.set_extend_input_len(req.fill_len - len(req.prefix_indices))
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req.set_extend_range(len(req.prefix_indices), len(req.origin_input_ids))
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reqs.append(req)
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reqs.append(req)
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return reqs
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return reqs
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@@ -1085,7 +1085,9 @@ class DecodePreallocQueue(DecodeHiCachePreallocMixin):
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@property
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@property
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def num_tokens_pre_allocated(self):
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def num_tokens_pre_allocated(self):
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return sum(decode_req.req.fill_len for decode_req in self.transfer_queue.queue)
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return sum(
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decode_req.req.extend_range.end for decode_req in self.transfer_queue.queue
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)
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def _need_space_for_single_req(
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def _need_space_for_single_req(
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self, retractable_tokens: Optional[int] = None
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self, retractable_tokens: Optional[int] = None
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@@ -37,7 +37,7 @@ class ScheduleBatchDisaggregationDecodeMixin:
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req_pool_indices = []
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req_pool_indices = []
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# Pre-calculate total size
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# Pre-calculate total size
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total_size = sum(req.extend_input_len for req in reqs)
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total_size = sum(req.extend_range.length for req in reqs)
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out_cache_loc = torch.empty(total_size, dtype=torch.int64, device=self.device)
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out_cache_loc = torch.empty(total_size, dtype=torch.int64, device=self.device)
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# Fill the tensor in one pass
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# Fill the tensor in one pass
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@@ -47,20 +47,20 @@ class ScheduleBatchDisaggregationDecodeMixin:
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pre_len = len(req.prefix_indices)
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pre_len = len(req.prefix_indices)
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chunk = self.req_to_token_pool.req_to_token[req.req_pool_idx][
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chunk = self.req_to_token_pool.req_to_token[req.req_pool_idx][
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pre_len : pre_len + req.extend_input_len
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pre_len : pre_len + req.extend_range.length
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]
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]
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assert (
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assert (
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offset + req.extend_input_len <= total_size
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offset + req.extend_range.length <= total_size
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), f"Exceeds total size: offset={offset}, req.extend_input_len={req.extend_input_len}, total_size={total_size}"
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), f"Exceeds total size: offset={offset}, req.extend_range.length={req.extend_range.length}, total_size={total_size}"
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out_cache_loc[offset : offset + req.extend_input_len] = chunk
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out_cache_loc[offset : offset + req.extend_range.length] = chunk
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offset += req.extend_input_len
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offset += req.extend_range.length
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seq_len = len(req.origin_input_ids) + max(0, len(req.output_ids) - 1)
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seq_len = len(req.origin_input_ids) + max(0, len(req.output_ids) - 1)
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seq_lens.append(seq_len)
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seq_lens.append(seq_len)
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if len(req.output_ids) == 0:
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if len(req.output_ids) == 0:
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assert (
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assert (
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seq_len - pre_len == req.extend_input_len
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seq_len - pre_len == req.extend_range.length
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), f"seq_len={seq_len}, pre_len={pre_len}, req.extend_input_len={req.extend_input_len}"
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), f"seq_len={seq_len}, pre_len={pre_len}, req.extend_range.length={req.extend_range.length}"
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if not req.retracted_stain:
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if not req.retracted_stain:
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# Clamp to avoid double-counting: already_computed is seeded from
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# Clamp to avoid double-counting: already_computed is seeded from
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@@ -99,7 +99,7 @@ class ScheduleBatchDisaggregationDecodeMixin:
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self.extend_num_tokens = extend_num_tokens
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self.extend_num_tokens = extend_num_tokens
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self.prefix_lens = [len(r.prefix_indices) for r in reqs]
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self.prefix_lens = [len(r.prefix_indices) for r in reqs]
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self.extend_lens = [r.extend_input_len for r in reqs]
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self.extend_lens = [r.extend_range.length for r in reqs]
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self.extend_logprob_start_lens = [r.extend_logprob_start_len for r in reqs]
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self.extend_logprob_start_lens = [r.extend_logprob_start_len for r in reqs]
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self.extend_input_logprob_token_ids = extend_input_logprob_token_ids
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self.extend_input_logprob_token_ids = extend_input_logprob_token_ids
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self.multimodal_inputs = [r.multimodal_inputs for r in reqs]
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self.multimodal_inputs = [r.multimodal_inputs for r in reqs]
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@@ -934,7 +934,7 @@ class SchedulerDisaggregationPrefillMixin:
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elif self.enable_overlap:
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elif self.enable_overlap:
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# Delay KV transfer to process_batch_result_disagg_prefill when overlap is enabled to ensure results are resolved
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# Delay KV transfer to process_batch_result_disagg_prefill when overlap is enabled to ensure results are resolved
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self.chunked_req.tmp_end_idx = min(
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self.chunked_req.tmp_end_idx = min(
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self.chunked_req.fill_len,
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self.chunked_req.extend_range.end,
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len(self.chunked_req.origin_input_ids),
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len(self.chunked_req.origin_input_ids),
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)
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)
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else:
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else:
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@@ -970,7 +970,7 @@ class SchedulerDisaggregationPrefillMixin:
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end_idx = (
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end_idx = (
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end_idx
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end_idx
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if end_idx is not None
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if end_idx is not None
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else min(req.fill_len, len(req.origin_input_ids))
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else min(req.extend_range.end, len(req.origin_input_ids))
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)
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)
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if not last_chunk:
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if not last_chunk:
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@@ -1001,7 +1001,7 @@ class SchedulerDisaggregationPrefillMixin:
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# length here avoids emitting an extra state page when the sampled
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# length here avoids emitting an extra state page when the sampled
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# token crosses a page boundary, which mismatched src/dst lengths in
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# token crosses a page boundary, which mismatched src/dst lengths in
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# group_concurrent_contiguous.
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# group_concurrent_contiguous.
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seq_len = min(req.fill_len, len(req.origin_input_ids))
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seq_len = min(req.extend_range.end, len(req.origin_input_ids))
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def _mamba_payload():
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def _mamba_payload():
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return [
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return [
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@@ -81,7 +81,7 @@ class SchedulerDllmMixin:
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continue
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continue
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req.full_untruncated_fill_ids[
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req.full_untruncated_fill_ids[
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req.fill_len - new_tokens : req.fill_len
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req.extend_range.end - new_tokens : req.extend_range.end
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] = array("q", next_token_ids)
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] = array("q", next_token_ids)
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self.metrics_reporter.num_generated_tokens += new_tokens
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self.metrics_reporter.num_generated_tokens += new_tokens
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@@ -217,7 +217,7 @@ class HiSparseCoordinator:
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req.hisparse_staging = True
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req.hisparse_staging = True
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full_kv_indices = self.req_to_token_pool.req_to_token[
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full_kv_indices = self.req_to_token_pool.req_to_token[
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req.req_pool_idx, : req.fill_len
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req.req_pool_idx, : req.extend_range.end
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].to(dtype=torch.int64, copy=True)
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].to(dtype=torch.int64, copy=True)
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device_indices = (
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device_indices = (
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self.mem_pool_device.translate_loc_from_full_to_hisparse_device(
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self.mem_pool_device.translate_loc_from_full_to_hisparse_device(
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@@ -308,7 +308,7 @@ class HiSparseCoordinator:
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def alloc_device_buffer(self, req: Req) -> None:
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def alloc_device_buffer(self, req: Req) -> None:
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if self.is_dsv4_hisparse:
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if self.is_dsv4_hisparse:
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allocated_len = req.fill_len
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allocated_len = req.extend_range.end
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alloc_size = self.padded_buffer_size
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alloc_size = self.padded_buffer_size
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else:
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else:
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allocated_len = req.kv_allocated_len
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allocated_len = req.kv_allocated_len
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@@ -729,7 +729,7 @@ class HiSparseCoordinator:
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# Wait for any in-flight staging DMA to complete before freeing
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# Wait for any in-flight staging DMA to complete before freeing
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self.write_staging_stream.synchronize()
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self.write_staging_stream.synchronize()
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prefill_len = req.fill_len
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prefill_len = req.extend_range.end
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allocated_locs = self.req_to_token_pool.req_to_token[
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allocated_locs = self.req_to_token_pool.req_to_token[
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req.req_pool_idx, :prefill_len
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req.req_pool_idx, :prefill_len
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]
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]
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@@ -993,8 +993,8 @@ class Req(ReqDllmMixin):
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# the start index of the sent kv cache
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# the start index of the sent kv cache
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# We want to send it chunk by chunk for chunked prefill.
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# We want to send it chunk by chunk for chunked prefill.
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# After every chunk forward, we do the following:
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# After every chunk forward, we do the following:
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# kv_send(req.input_ids[req.start_send_idx:req.fill_len])
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# kv_send(req.input_ids[req.start_send_idx:req.extend_range.end])
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# start_send_idx = req.fill_len
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# start_send_idx = req.extend_range.end
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self.start_send_idx: int = 0
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self.start_send_idx: int = 0
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# For overlap schedule, we delay the kv transfer until `process_batch_result_disagg_prefill` rather than `process_prefill_chunk` in non-overlap
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# For overlap schedule, we delay the kv transfer until `process_batch_result_disagg_prefill` rather than `process_prefill_chunk` in non-overlap
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@@ -1096,20 +1096,12 @@ class Req(ReqDllmMixin):
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# Whether request reached finished condition
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# Whether request reached finished condition
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return self.finished_reason is not None
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return self.finished_reason is not None
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@property
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def fill_len(self) -> int:
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return self.extend_range.end
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@property
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def extend_input_len(self) -> int:
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return self.extend_range.length
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def set_extend_range(self, start: int, end: int) -> None:
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def set_extend_range(self, start: int, end: int) -> None:
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self.extend_range = Range(start, end)
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self.extend_range = Range(start, end)
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self._recompute_extend_logprob_start_len()
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self._recompute_extend_logprob_start_len()
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def get_fill_ids(self) -> array:
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def get_fill_ids(self) -> array:
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return self.full_untruncated_fill_ids[: self.fill_len]
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return self.full_untruncated_fill_ids[: self.extend_range.end]
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def _refresh_fill_ids(self) -> None:
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def _refresh_fill_ids(self) -> None:
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"""Keep full_untruncated_fill_ids == origin_input_ids + output_ids by
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"""Keep full_untruncated_fill_ids == origin_input_ids + output_ids by
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@@ -1546,7 +1538,7 @@ class Req(ReqDllmMixin):
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logprob_start_len = max(self.logprob_start_len, len(self.prefix_indices))
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logprob_start_len = max(self.logprob_start_len, len(self.prefix_indices))
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self.extend_logprob_start_len = min(
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self.extend_logprob_start_len = min(
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logprob_start_len - len(self.prefix_indices),
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logprob_start_len - len(self.prefix_indices),
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self.extend_input_len,
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self.extend_range.length,
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)
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)
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def set_finish_with_abort(self, error_msg: str):
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def set_finish_with_abort(self, error_msg: str):
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@@ -1667,7 +1659,7 @@ def _compute_chunked_req_next_prompt_token(
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multimodal placeholder (hash) tokens that lie outside the model vocab."""
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multimodal placeholder (hash) tokens that lie outside the model vocab."""
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if chunked_req is None:
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if chunked_req is None:
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return None
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return None
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fill_len = chunked_req.fill_len
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fill_len = chunked_req.extend_range.end
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origin_ids = chunked_req.origin_input_ids
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origin_ids = chunked_req.origin_input_ids
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if fill_len >= len(origin_ids):
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if fill_len >= len(origin_ids):
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return None
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return None
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@@ -1932,17 +1924,17 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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input_ids[i] = input_ids[i][encoder_len:]
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input_ids[i] = input_ids[i][encoder_len:]
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encoder_out_cache_loc.append(self.out_cache_loc[pt : pt + encoder_len])
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encoder_out_cache_loc.append(self.out_cache_loc[pt : pt + encoder_len])
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decoder_out_cache_loc.append(
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decoder_out_cache_loc.append(
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self.out_cache_loc[pt + encoder_len : pt + req.extend_input_len]
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self.out_cache_loc[pt + encoder_len : pt + req.extend_range.length]
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)
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)
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self.extend_lens[i] -= encoder_len
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self.extend_lens[i] -= encoder_len
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self.extend_num_tokens -= encoder_len
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self.extend_num_tokens -= encoder_len
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else:
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else:
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decoder_out_cache_loc.append(
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decoder_out_cache_loc.append(
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self.out_cache_loc[pt : pt + req.extend_input_len]
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self.out_cache_loc[pt : pt + req.extend_range.length]
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)
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)
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self.prefix_lens[i] -= encoder_len
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self.prefix_lens[i] -= encoder_len
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pt += req.extend_input_len
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pt += req.extend_range.length
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# Reassign: ED stripping rebuilds prefill_input_ids_cpu (CPU pinned);
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# Reassign: ED stripping rebuilds prefill_input_ids_cpu (CPU pinned);
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# resolve_forward_inputs will H2D this on forward stream. self.input_ids
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# resolve_forward_inputs will H2D this on forward stream. self.input_ids
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@@ -1977,7 +1969,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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for i, req in enumerate(self.reqs):
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for i, req in enumerate(self.reqs):
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encoder_len = self.encoder_lens_cpu[i]
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encoder_len = self.encoder_lens_cpu[i]
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old_start_len = self.extend_logprob_start_lens[i]
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old_start_len = self.extend_logprob_start_lens[i]
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old_contribution = req.extend_input_len - old_start_len
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old_contribution = req.extend_range.length - old_start_len
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if len(req.prefix_indices) < encoder_len:
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if len(req.prefix_indices) < encoder_len:
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tokens_to_strip = max(0, encoder_len - old_start_len)
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tokens_to_strip = max(0, encoder_len - old_start_len)
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@@ -2028,10 +2020,10 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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reqs = self.reqs
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reqs = self.reqs
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input_ids = [r.get_fill_ids()[len(r.prefix_indices) :] for r in reqs]
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input_ids = [r.get_fill_ids()[len(r.prefix_indices) :] for r in reqs]
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extend_num_tokens = sum(len(ids) for ids in input_ids)
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extend_num_tokens = sum(len(ids) for ids in input_ids)
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seq_lens = [r.fill_len for r in reqs]
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seq_lens = [r.extend_range.end for r in reqs]
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orig_seq_lens = [max(r.fill_len, len(r.origin_input_ids)) for r in reqs]
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orig_seq_lens = [max(r.extend_range.end, len(r.origin_input_ids)) for r in reqs]
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prefix_lens = [len(r.prefix_indices) for r in reqs]
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prefix_lens = [len(r.prefix_indices) for r in reqs]
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extend_lens = [r.extend_input_len for r in reqs]
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extend_lens = [r.extend_range.length for r in reqs]
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|
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_pin = is_pin_memory_available(self.device)
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_pin = is_pin_memory_available(self.device)
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# Stay on pinned CPU; H2D is deferred to forward stream via
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# Stay on pinned CPU; H2D is deferred to forward stream via
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@@ -2071,7 +2063,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
mamba_track_seqlens_cpu = []
|
mamba_track_seqlens_cpu = []
|
||||||
|
|
||||||
for i, (req, seq_len, pre_len) in enumerate(zip(reqs, seq_lens, prefix_lens)):
|
for i, (req, seq_len, pre_len) in enumerate(zip(reqs, seq_lens, prefix_lens)):
|
||||||
assert seq_len - pre_len == req.extend_input_len
|
assert seq_len - pre_len == req.extend_range.length
|
||||||
|
|
||||||
req.extend_batch_idx += 1
|
req.extend_batch_idx += 1
|
||||||
|
|
||||||
@@ -2084,7 +2076,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
# Slice to match extend_input_len — PrefillAdder truncates
|
# Slice to match extend_input_len — PrefillAdder truncates
|
||||||
# fill_len/extend_input_len on chunk overflow but not input_embeds.
|
# fill_len/extend_input_len on chunk overflow but not input_embeds.
|
||||||
input_embeds.extend(
|
input_embeds.extend(
|
||||||
req.input_embeds[pre_len : pre_len + req.extend_input_len]
|
req.input_embeds[pre_len : pre_len + req.extend_range.length]
|
||||||
)
|
)
|
||||||
|
|
||||||
if req.positional_embed_overrides is not None:
|
if req.positional_embed_overrides is not None:
|
||||||
@@ -2096,7 +2088,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
req.positional_embed_overrides.positions
|
req.positional_embed_overrides.positions
|
||||||
):
|
):
|
||||||
extend_pos = pos - pre_len
|
extend_pos = pos - pre_len
|
||||||
if extend_pos < 0 or extend_pos >= req.extend_input_len:
|
if extend_pos < 0 or extend_pos >= req.extend_range.length:
|
||||||
continue # Outside current extend chunk, skip
|
continue # Outside current extend chunk, skip
|
||||||
embeds_to_add.append((embed_idx, input_id_pointer + extend_pos))
|
embeds_to_add.append((embed_idx, input_id_pointer + extend_pos))
|
||||||
if embeds_to_add:
|
if embeds_to_add:
|
||||||
@@ -2165,7 +2157,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
# extend_input_logprob_token_id = [4, 0]
|
# extend_input_logprob_token_id = [4, 0]
|
||||||
global_start_idx, global_end_idx = (
|
global_start_idx, global_end_idx = (
|
||||||
len(req.prefix_indices),
|
len(req.prefix_indices),
|
||||||
req.fill_len,
|
req.extend_range.end,
|
||||||
)
|
)
|
||||||
if req.logprob_start_len == -1:
|
if req.logprob_start_len == -1:
|
||||||
logprob_start_len = len(req.origin_input_ids)
|
logprob_start_len = len(req.origin_input_ids)
|
||||||
@@ -2180,12 +2172,12 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
]
|
]
|
||||||
extend_input_logprob_token_ids.extend(logprob_token_ids)
|
extend_input_logprob_token_ids.extend(logprob_token_ids)
|
||||||
|
|
||||||
# We will need req.extend_input_len - req.extend_logprob_start_len number of
|
# We will need req.extend_range.length - req.extend_logprob_start_len number of
|
||||||
# tokens, and logprob_token_ids is for input logprob, so pad the rest of them by 0.
|
# tokens, and logprob_token_ids is for input logprob, so pad the rest of them by 0.
|
||||||
extend_input_logprob_token_ids.extend(
|
extend_input_logprob_token_ids.extend(
|
||||||
[0]
|
[0]
|
||||||
* (
|
* (
|
||||||
req.extend_input_len
|
req.extend_range.length
|
||||||
- req.extend_logprob_start_len
|
- req.extend_logprob_start_len
|
||||||
- len(logprob_token_ids)
|
- len(logprob_token_ids)
|
||||||
)
|
)
|
||||||
@@ -2295,7 +2287,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
# to force the math calculation to retrieve the correct mamba state from h.
|
# to force the math calculation to retrieve the correct mamba state from h.
|
||||||
return i + 1
|
return i + 1
|
||||||
|
|
||||||
mask = req.extend_input_len >= mamba_cache_chunk_size
|
mask = req.extend_range.length >= mamba_cache_chunk_size
|
||||||
track_index = req.mamba_ping_pong_track_buffer[req.mamba_next_track_idx].item()
|
track_index = req.mamba_ping_pong_track_buffer[req.mamba_next_track_idx].item()
|
||||||
mamba_track_seqlen = -1
|
mamba_track_seqlen = -1
|
||||||
if mask:
|
if mask:
|
||||||
@@ -2306,13 +2298,13 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
# otherwise retrieved from h (i.e. unaligned).
|
# otherwise retrieved from h (i.e. unaligned).
|
||||||
# We need to pass the non-aligned seqlen to the calculation. Even though
|
# We need to pass the non-aligned seqlen to the calculation. Even though
|
||||||
# we pass in mamba_track_seqlen, the actual tracked seqlen is mamba_last_track_seqlen.
|
# we pass in mamba_track_seqlen, the actual tracked seqlen is mamba_last_track_seqlen.
|
||||||
mamba_track_seqlen = len(req.prefix_indices) + req.extend_input_len
|
mamba_track_seqlen = len(req.prefix_indices) + req.extend_range.length
|
||||||
|
|
||||||
# mamba_track_seqlen_aligned/mamba_last_track_seqlen is actual tracked seqlen. Used to pass to
|
# mamba_track_seqlen_aligned/mamba_last_track_seqlen is actual tracked seqlen. Used to pass to
|
||||||
# mamba radix cache to track which seqlen this mamba state should store at.
|
# mamba radix cache to track which seqlen this mamba state should store at.
|
||||||
mamba_track_seqlen_aligned = (
|
mamba_track_seqlen_aligned = (
|
||||||
len(req.prefix_indices)
|
len(req.prefix_indices)
|
||||||
+ (req.extend_input_len // mamba_cache_chunk_size)
|
+ (req.extend_range.length // mamba_cache_chunk_size)
|
||||||
* mamba_cache_chunk_size
|
* mamba_cache_chunk_size
|
||||||
)
|
)
|
||||||
|
|
||||||
@@ -2322,7 +2314,7 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
|
|||||||
# by _force_track_h()
|
# by _force_track_h()
|
||||||
mamba_track_fla_chunk_aligned = (
|
mamba_track_fla_chunk_aligned = (
|
||||||
len(req.prefix_indices)
|
len(req.prefix_indices)
|
||||||
+ (req.extend_input_len // mamba_cache_chunk_size)
|
+ (req.extend_range.length // mamba_cache_chunk_size)
|
||||||
* mamba_cache_chunk_size
|
* mamba_cache_chunk_size
|
||||||
)
|
)
|
||||||
if mamba_track_fla_chunk_aligned != mamba_track_seqlen_aligned:
|
if mamba_track_fla_chunk_aligned != mamba_track_seqlen_aligned:
|
||||||
|
|||||||
@@ -693,7 +693,7 @@ class PrefillAdder:
|
|||||||
else 0
|
else 0
|
||||||
)
|
)
|
||||||
self._update_prefill_budget(
|
self._update_prefill_budget(
|
||||||
0, req.extend_input_len, max_new_tokens, req.retracted_stain
|
0, req.extend_range.length, max_new_tokens, req.retracted_stain
|
||||||
)
|
)
|
||||||
|
|
||||||
# Return based on remaining token availability
|
# Return based on remaining token availability
|
||||||
@@ -730,7 +730,7 @@ class PrefillAdder:
|
|||||||
self.can_run_list.append(req)
|
self.can_run_list.append(req)
|
||||||
self._update_prefill_budget(
|
self._update_prefill_budget(
|
||||||
0,
|
0,
|
||||||
req.extend_input_len,
|
req.extend_range.length,
|
||||||
(
|
(
|
||||||
min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS)
|
min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS)
|
||||||
if not truncated
|
if not truncated
|
||||||
@@ -842,7 +842,7 @@ class PrefillAdder:
|
|||||||
self.can_run_list.append(req)
|
self.can_run_list.append(req)
|
||||||
self._update_prefill_budget(
|
self._update_prefill_budget(
|
||||||
0,
|
0,
|
||||||
req.extend_input_len,
|
req.extend_range.length,
|
||||||
min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS),
|
min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS),
|
||||||
req.retracted_stain,
|
req.retracted_stain,
|
||||||
)
|
)
|
||||||
|
|||||||
@@ -1293,7 +1293,7 @@ class Scheduler(
|
|||||||
request_lengths = []
|
request_lengths = []
|
||||||
for req in batch.reqs:
|
for req in batch.reqs:
|
||||||
start = len(req.prefix_indices)
|
start = len(req.prefix_indices)
|
||||||
end = start + req.extend_input_len
|
end = start + req.extend_range.length
|
||||||
fill_ids = req.origin_input_ids + req.output_ids
|
fill_ids = req.origin_input_ids + req.output_ids
|
||||||
if start == 0:
|
if start == 0:
|
||||||
tokens = fill_ids[start:end]
|
tokens = fill_ids[start:end]
|
||||||
@@ -2623,7 +2623,7 @@ class Scheduler(
|
|||||||
# beyond what is already cached. A parked chunk (add_chunked_req
|
# beyond what is already cached. A parked chunk (add_chunked_req
|
||||||
# hybrid-SWA early-return) leaves fill_len == len(prefix_indices),
|
# hybrid-SWA early-return) leaves fill_len == len(prefix_indices),
|
||||||
# so there is nothing new to cache and stashing would be a no-op.
|
# so there is nothing new to cache and stashing would be a no-op.
|
||||||
if self.chunked_req.fill_len > len(self.chunked_req.prefix_indices):
|
if self.chunked_req.extend_range.end > len(self.chunked_req.prefix_indices):
|
||||||
self.stash_chunked_request(self.chunked_req)
|
self.stash_chunked_request(self.chunked_req)
|
||||||
|
|
||||||
# HiSparse has its own prefill-to-decode transition; skip last_batch merge.
|
# HiSparse has its own prefill-to-decode transition; skip last_batch merge.
|
||||||
@@ -2974,7 +2974,7 @@ class Scheduler(
|
|||||||
self.enable_priority_scheduling,
|
self.enable_priority_scheduling,
|
||||||
num_pending_tokens=self.load_inquirer._get_num_pending_tokens(
|
num_pending_tokens=self.load_inquirer._get_num_pending_tokens(
|
||||||
chunk_deduct=(
|
chunk_deduct=(
|
||||||
self.chunked_req.extend_input_len
|
self.chunked_req.extend_range.length
|
||||||
if self.chunked_req is not None
|
if self.chunked_req is not None
|
||||||
else 0
|
else 0
|
||||||
),
|
),
|
||||||
@@ -3337,7 +3337,7 @@ class Scheduler(
|
|||||||
# we can use the correct values in output processing.
|
# we can use the correct values in output processing.
|
||||||
if batch.return_logprob:
|
if batch.return_logprob:
|
||||||
batch_result.extend_input_len_per_req = [
|
batch_result.extend_input_len_per_req = [
|
||||||
req.extend_input_len if req.extend_range is not None else 0
|
req.extend_range.length if req.extend_range is not None else 0
|
||||||
for req in batch.reqs
|
for req in batch.reqs
|
||||||
]
|
]
|
||||||
batch_result.extend_logprob_start_len_per_req = [
|
batch_result.extend_logprob_start_len_per_req = [
|
||||||
|
|||||||
@@ -624,7 +624,7 @@ class SchedulerPPMixin:
|
|||||||
self.spec_algorithm,
|
self.spec_algorithm,
|
||||||
)
|
)
|
||||||
|
|
||||||
current_seq_len = req.fill_len
|
current_seq_len = req.extend_range.end
|
||||||
|
|
||||||
if is_dp_attention_enabled():
|
if is_dp_attention_enabled():
|
||||||
# For profiling, we only have one request on PP0
|
# For profiling, we only have one request on PP0
|
||||||
@@ -695,7 +695,7 @@ class SchedulerPPMixin:
|
|||||||
# Release KV cache
|
# Release KV cache
|
||||||
if req.req_pool_idx is not None:
|
if req.req_pool_idx is not None:
|
||||||
kv_indices = self.req_to_token_pool.req_to_token[
|
kv_indices = self.req_to_token_pool.req_to_token[
|
||||||
req.req_pool_idx, : req.fill_len
|
req.req_pool_idx, : req.extend_range.end
|
||||||
]
|
]
|
||||||
self.token_to_kv_pool_allocator.free(kv_indices)
|
self.token_to_kv_pool_allocator.free(kv_indices)
|
||||||
self.req_to_token_pool.free(req)
|
self.req_to_token_pool.free(req)
|
||||||
|
|||||||
@@ -86,7 +86,7 @@ class ChunkCache(BasePrefixCache):
|
|||||||
|
|
||||||
def cache_unfinished_req(self, req: Req, chunked=False):
|
def cache_unfinished_req(self, req: Req, chunked=False):
|
||||||
kv_indices = self.req_to_token_pool.req_to_token[
|
kv_indices = self.req_to_token_pool.req_to_token[
|
||||||
req.req_pool_idx, : req.fill_len
|
req.req_pool_idx, : req.extend_range.end
|
||||||
]
|
]
|
||||||
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
||||||
req.prefix_indices = kv_indices.to(dtype=torch.int64, copy=True)
|
req.prefix_indices = kv_indices.to(dtype=torch.int64, copy=True)
|
||||||
|
|||||||
@@ -627,7 +627,7 @@ class MambaRadixCache(KVCacheEventMixin, BasePrefixCache):
|
|||||||
|
|
||||||
def _skip_cache_unfinished_req(req: Req) -> None:
|
def _skip_cache_unfinished_req(req: Req) -> None:
|
||||||
kv_indices = self.req_to_token_pool.req_to_token[
|
kv_indices = self.req_to_token_pool.req_to_token[
|
||||||
req.req_pool_idx, : req.fill_len
|
req.req_pool_idx, : req.extend_range.end
|
||||||
]
|
]
|
||||||
|
|
||||||
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
||||||
|
|||||||
@@ -488,7 +488,7 @@ class SWARadixCache(KVCacheEventMixin, BasePrefixCache):
|
|||||||
"""Cache request when it is unfinished."""
|
"""Cache request when it is unfinished."""
|
||||||
if self.disable:
|
if self.disable:
|
||||||
kv_indices = self.req_to_token_pool.req_to_token[
|
kv_indices = self.req_to_token_pool.req_to_token[
|
||||||
req.req_pool_idx, : req.fill_len
|
req.req_pool_idx, : req.extend_range.end
|
||||||
]
|
]
|
||||||
|
|
||||||
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
# `req.prefix_indices` will be used in `PrefillAdder::add_chunked_req` later
|
||||||
|
|||||||
@@ -359,7 +359,7 @@ class StreamingSession(BasePrefixCache):
|
|||||||
return False
|
return False
|
||||||
if chunked:
|
if chunked:
|
||||||
kv_indices = self.req_to_token_pool.req_to_token[
|
kv_indices = self.req_to_token_pool.req_to_token[
|
||||||
req.req_pool_idx, : req.fill_len
|
req.req_pool_idx, : req.extend_range.end
|
||||||
]
|
]
|
||||||
req.prefix_indices = kv_indices.to(dtype=torch.int64, copy=True)
|
req.prefix_indices = kv_indices.to(dtype=torch.int64, copy=True)
|
||||||
return True
|
return True
|
||||||
|
|||||||
@@ -406,9 +406,9 @@ class TestSpecialCaseBasic(ScriptedTestCase):
|
|||||||
r.is_chunking
|
r.is_chunking
|
||||||
and chunked is not None
|
and chunked is not None
|
||||||
and chunked.rid == r.rid
|
and chunked.rid == r.rid
|
||||||
and chunked.extend_input_len > 0
|
and chunked.extend_range.length > 0
|
||||||
):
|
):
|
||||||
deduct = chunked.extend_input_len
|
deduct = chunked.extend_range.length
|
||||||
base = s.load_inquirer._get_num_pending_tokens()
|
base = s.load_inquirer._get_num_pending_tokens()
|
||||||
deducted = s.load_inquirer._get_num_pending_tokens(chunk_deduct=deduct)
|
deducted = s.load_inquirer._get_num_pending_tokens(chunk_deduct=deduct)
|
||||||
assert deducted == base - deduct, (
|
assert deducted == base - deduct, (
|
||||||
@@ -473,15 +473,18 @@ class TestSpecialCaseBasic(ScriptedTestCase):
|
|||||||
r.is_chunking
|
r.is_chunking
|
||||||
and r.chunks_done >= 1
|
and r.chunks_done >= 1
|
||||||
and req is not None
|
and req is not None
|
||||||
and req.extend_input_len is not None
|
and req.extend_range is not None
|
||||||
):
|
):
|
||||||
saw_mid_chunk = True
|
saw_mid_chunk = True
|
||||||
assert req.fill_len == len(req.prefix_indices) + req.extend_input_len, (
|
assert (
|
||||||
|
req.extend_range.end
|
||||||
|
== len(req.prefix_indices) + req.extend_range.length
|
||||||
|
), (
|
||||||
f"init_next_round_input must rebuild fill_ids to the committed "
|
f"init_next_round_input must rebuild fill_ids to the committed "
|
||||||
f"prefix plus the in-flight chunk; "
|
f"prefix plus the in-flight chunk; "
|
||||||
f"fill_ids_len={req.fill_len}, "
|
f"fill_ids_len={req.extend_range.end}, "
|
||||||
f"prefix_indices_len={len(req.prefix_indices)}, "
|
f"prefix_indices_len={len(req.prefix_indices)}, "
|
||||||
f"extend_input_len={req.extend_input_len}, "
|
f"extend_input_len={req.extend_range.length}, "
|
||||||
f"chunks_done={r.chunks_done}"
|
f"chunks_done={r.chunks_done}"
|
||||||
)
|
)
|
||||||
if r.finished:
|
if r.finished:
|
||||||
@@ -775,11 +778,11 @@ class TestSpecialCaseDeterministicFlashInfer(ScriptedTestCase):
|
|||||||
page_size = 16
|
page_size = 16
|
||||||
saw_chunking = False
|
saw_chunking = False
|
||||||
for _ in range(DEFAULT_MAX_STEPS):
|
for _ in range(DEFAULT_MAX_STEPS):
|
||||||
if r.is_chunking and r.req.extend_input_len is not None:
|
if r.is_chunking and r.req.extend_range is not None:
|
||||||
saw_chunking = True
|
saw_chunking = True
|
||||||
assert r.req.extend_input_len % page_size == 0, (
|
assert r.req.extend_range.length % page_size == 0, (
|
||||||
f"deterministic chunk boundary must be page-aligned; "
|
f"deterministic chunk boundary must be page-aligned; "
|
||||||
f"got extend_input_len={r.req.extend_input_len}, page_size={page_size}"
|
f"got extend_input_len={r.req.extend_range.length}, page_size={page_size}"
|
||||||
)
|
)
|
||||||
if r.finished:
|
if r.finished:
|
||||||
break
|
break
|
||||||
|
|||||||
@@ -18,17 +18,6 @@ from sglang.srt.utils import is_cuda, is_hip, is_npu, is_xpu
|
|||||||
from sglang.srt.utils.common import Range
|
from sglang.srt.utils.common import Range
|
||||||
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
|
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
|
||||||
|
|
||||||
|
|
||||||
class _FakeReq(SimpleNamespace):
|
|
||||||
@property
|
|
||||||
def fill_len(self) -> int:
|
|
||||||
return self.extend_range.end
|
|
||||||
|
|
||||||
@property
|
|
||||||
def extend_input_len(self) -> int:
|
|
||||||
return self.extend_range.length
|
|
||||||
|
|
||||||
|
|
||||||
register_cuda_ci(est_time=10, stage="base-b", runner_config="1-gpu-small")
|
register_cuda_ci(est_time=10, stage="base-b", runner_config="1-gpu-small")
|
||||||
register_amd_ci(est_time=10, suite="stage-b-test-1-gpu-small-amd")
|
register_amd_ci(est_time=10, suite="stage-b-test-1-gpu-small-amd")
|
||||||
|
|
||||||
@@ -54,7 +43,7 @@ def _make_req(rid="test-req-0", origin_input_ids=None, output_ids=None):
|
|||||||
origin_input_ids = list(range(64))
|
origin_input_ids = list(range(64))
|
||||||
if output_ids is None:
|
if output_ids is None:
|
||||||
output_ids = []
|
output_ids = []
|
||||||
req = _FakeReq(
|
req = SimpleNamespace(
|
||||||
rid=rid,
|
rid=rid,
|
||||||
origin_input_ids=origin_input_ids,
|
origin_input_ids=origin_input_ids,
|
||||||
output_ids=output_ids,
|
output_ids=output_ids,
|
||||||
@@ -781,7 +770,7 @@ class TestHiSparseUnit(unittest.TestCase):
|
|||||||
)
|
)
|
||||||
self.assertEqual(req.kv_allocated_len, fill_len)
|
self.assertEqual(req.kv_allocated_len, fill_len)
|
||||||
self.assertEqual(req.kv_committed_len, fill_len)
|
self.assertEqual(req.kv_committed_len, fill_len)
|
||||||
self.assertEqual(req.extend_input_len, fill_len)
|
self.assertEqual(req.extend_range.length, fill_len)
|
||||||
|
|
||||||
rounded_len = (fill_len + self.page_size - 1) // self.page_size * self.page_size
|
rounded_len = (fill_len + self.page_size - 1) // self.page_size * self.page_size
|
||||||
self.assertEqual(
|
self.assertEqual(
|
||||||
|
|||||||
@@ -9,6 +9,7 @@ from sglang.srt.mem_cache.base_prefix_cache import (
|
|||||||
IncLockRefResult,
|
IncLockRefResult,
|
||||||
)
|
)
|
||||||
from sglang.srt.server_args import ServerArgs, set_global_server_args_for_scheduler
|
from sglang.srt.server_args import ServerArgs, set_global_server_args_for_scheduler
|
||||||
|
from sglang.srt.utils.common import Range
|
||||||
from sglang.test.ci.ci_register import (
|
from sglang.test.ci.ci_register import (
|
||||||
register_amd_ci,
|
register_amd_ci,
|
||||||
register_cpu_ci,
|
register_cpu_ci,
|
||||||
@@ -471,7 +472,15 @@ class TestPrefillAdder(CustomTestCase):
|
|||||||
req = self.create_mock_req("chunked", priority=0, max_new_tokens=128)
|
req = self.create_mock_req("chunked", priority=0, max_new_tokens=128)
|
||||||
req.prefix_indices = []
|
req.prefix_indices = []
|
||||||
req.full_untruncated_fill_ids = list(range(extend_input_len))
|
req.full_untruncated_fill_ids = list(range(extend_input_len))
|
||||||
req.set_extend_range = MagicMock()
|
# set_extend_range is the only writer of extend_range; the production
|
||||||
|
# path reads req.extend_range.length right after calling it, so the mock
|
||||||
|
# must actually set the attribute (a spec=Req mock has the method but
|
||||||
|
# not the instance attribute).
|
||||||
|
req.set_extend_range = MagicMock(
|
||||||
|
side_effect=lambda start, end: setattr(
|
||||||
|
req, "extend_range", Range(start, end)
|
||||||
|
)
|
||||||
|
)
|
||||||
return adder, req
|
return adder, req
|
||||||
|
|
||||||
def test_add_chunked_req_hybrid_swa_reserves_page_for_alloc_extend(self):
|
def test_add_chunked_req_hybrid_swa_reserves_page_for_alloc_extend(self):
|
||||||
|
|||||||
@@ -84,12 +84,8 @@ class MockReq:
|
|||||||
self.kv_allocated_len = len(fill_ids)
|
self.kv_allocated_len = len(fill_ids)
|
||||||
self.kv_committed_freed = False
|
self.kv_committed_freed = False
|
||||||
|
|
||||||
@property
|
|
||||||
def fill_len(self):
|
|
||||||
return self.extend_range.end
|
|
||||||
|
|
||||||
def get_fill_ids(self):
|
def get_fill_ids(self):
|
||||||
return self.full_untruncated_fill_ids[: self.fill_len]
|
return self.full_untruncated_fill_ids[: self.extend_range.end]
|
||||||
|
|
||||||
def pop_committed_kv_cache(self):
|
def pop_committed_kv_cache(self):
|
||||||
self.kv_committed_freed = True
|
self.kv_committed_freed = True
|
||||||
|
|||||||
@@ -927,7 +927,7 @@ class UnifiedRadixCacheSuite:
|
|||||||
req.set_extend_range(
|
req.set_extend_range(
|
||||||
len(req.prefix_indices), len(req.full_untruncated_fill_ids)
|
len(req.prefix_indices), len(req.full_untruncated_fill_ids)
|
||||||
)
|
)
|
||||||
kv_len = req.fill_len
|
kv_len = req.extend_range.end
|
||||||
kv_indices = self._alloc(allocator, kv_len)
|
kv_indices = self._alloc(allocator, kv_len)
|
||||||
req_to_token_pool.write((req.req_pool_idx, slice(0, kv_len)), kv_indices)
|
req_to_token_pool.write((req.req_pool_idx, slice(0, kv_len)), kv_indices)
|
||||||
req.kv_committed_len = kv_len
|
req.kv_committed_len = kv_len
|
||||||
@@ -1815,7 +1815,7 @@ class UnifiedRadixCacheSuite:
|
|||||||
req.origin_input_ids = tokens
|
req.origin_input_ids = tokens
|
||||||
req.output_ids = []
|
req.output_ids = []
|
||||||
req.full_untruncated_fill_ids = array("q", tokens)
|
req.full_untruncated_fill_ids = array("q", tokens)
|
||||||
req.fill_len = len(req.full_untruncated_fill_ids)
|
req.set_extend_range(0, len(req.full_untruncated_fill_ids))
|
||||||
kv_indices = self._alloc(allocator, pre_len)
|
kv_indices = self._alloc(allocator, pre_len)
|
||||||
req_to_token_pool.write((req.req_pool_idx, slice(0, pre_len)), kv_indices)
|
req_to_token_pool.write((req.req_pool_idx, slice(0, pre_len)), kv_indices)
|
||||||
req.kv_committed_len = pre_len
|
req.kv_committed_len = pre_len
|
||||||
@@ -1867,7 +1867,7 @@ class UnifiedRadixCacheSuite:
|
|||||||
req.origin_input_ids = tokens
|
req.origin_input_ids = tokens
|
||||||
req.output_ids = []
|
req.output_ids = []
|
||||||
req.full_untruncated_fill_ids = array("q", tokens)
|
req.full_untruncated_fill_ids = array("q", tokens)
|
||||||
req.fill_len = len(req.full_untruncated_fill_ids)
|
req.set_extend_range(0, len(req.full_untruncated_fill_ids))
|
||||||
kv_indices = self._alloc(allocator, pre_len)
|
kv_indices = self._alloc(allocator, pre_len)
|
||||||
req_to_token_pool.write((req.req_pool_idx, slice(0, pre_len)), kv_indices)
|
req_to_token_pool.write((req.req_pool_idx, slice(0, pre_len)), kv_indices)
|
||||||
req.kv_committed_len = pre_len
|
req.kv_committed_len = pre_len
|
||||||
|
|||||||
Reference in New Issue
Block a user