feat: Add Non-intrusive Tensor Dumping for Model Inference (#10566)
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@@ -38,7 +38,6 @@ from sglang.srt.layers.dp_attention import (
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get_dp_device,
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get_dp_dtype,
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get_dp_hidden_size,
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get_local_attention_dp_size,
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)
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from sglang.srt.layers.vocab_parallel_embedding import VocabParallelEmbedding
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from sglang.srt.model_executor.forward_batch_info import (
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@@ -47,7 +46,7 @@ from sglang.srt.model_executor.forward_batch_info import (
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ForwardMode,
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)
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from sglang.srt.server_args import get_global_server_args
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from sglang.srt.utils import dump_to_file, is_npu, use_intel_amx_backend
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from sglang.srt.utils import is_npu, use_intel_amx_backend
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logger = logging.getLogger(__name__)
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@@ -252,10 +251,6 @@ class LogitsProcessor(nn.Module):
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):
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self.final_logit_softcapping = None
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self.debug_tensor_dump_output_folder = (
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get_global_server_args().debug_tensor_dump_output_folder
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)
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def compute_logprobs_for_multi_item_scoring(
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self,
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input_ids,
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@@ -463,14 +458,6 @@ class LogitsProcessor(nn.Module):
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logits[sample_indices] if sample_indices is not None else logits
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)
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if self.debug_tensor_dump_output_folder:
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assert (
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not self.do_tensor_parallel_all_gather
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or get_local_attention_dp_size() == 1
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), "dp attention + sharded lm_head doesn't support full logits"
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full_logits = self._get_logits(hidden_states, lm_head, logits_metadata)
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dump_to_file(self.debug_tensor_dump_output_folder, "logits", full_logits)
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hidden_states_to_store: Optional[torch.Tensor] = None
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if logits_metadata.capture_hidden_mode.need_capture():
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if logits_metadata.capture_hidden_mode.is_full():
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