Cleanup readme, llava examples, usage examples and nccl init (#1194)
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@@ -26,7 +26,7 @@ import triton.language as tl
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from sglang.srt.managers.schedule_batch import global_server_args_dict
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if global_server_args_dict.get("attention_reduce_in_fp32", False):
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if global_server_args_dict.get("triton_attention_reduce_in_fp32", False):
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REDUCE_TRITON_TYPE = tl.float32
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REDUCE_TORCH_TYPE = torch.float32
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else:
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@@ -239,7 +239,7 @@ class FusedMoE(torch.nn.Module):
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weight_name: str,
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shard_id: int,
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expert_id: int,
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pre_sharded: bool,
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use_presharded_weights: bool = False,
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):
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param_data = param.data
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@@ -273,7 +273,7 @@ class FusedMoE(torch.nn.Module):
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else:
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tp_rank = get_tensor_model_parallel_rank()
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shard_size = self.intermediate_size_per_partition
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if pre_sharded:
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if use_presharded_weights:
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shard = slice(None)
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else:
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shard = slice(tp_rank * shard_size, (tp_rank + 1) * shard_size)
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@@ -180,7 +180,7 @@ class LogitsProcessor(nn.Module):
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if hasattr(self.config, "final_logit_softcapping"):
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last_logits.div_(self.config.final_logit_softcapping)
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last_logits = torch.tanh(last_logits)
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torch.tanh(last_logits, out=last_logits)
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last_logits.mul_(self.config.final_logit_softcapping)
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# Return only last_logits if logprob is not requested
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@@ -241,7 +241,7 @@ class LogitsProcessor(nn.Module):
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if hasattr(self.config, "final_logit_softcapping"):
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all_logits.div_(self.config.final_logit_softcapping)
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all_logits = torch.tanh(all_logits)
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torch.tanh(all_logits, out=all_logits)
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all_logits.mul_(self.config.final_logit_softcapping)
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all_logprobs = all_logits
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