[6/N] MoE Refactor: Cleanup MoE-related configs (#8849)
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@@ -213,12 +213,11 @@ Please consult the documentation below and [server_args.py](https://github.com/s
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| Arguments | Description | Defaults |
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|-----------|-------------|----------|
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| `--ep-size` | The expert parallelism size. | 1 |
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| `--moe-a2a-backend` | Select the backend for all-to-all communication for expert parallelism. | None |
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| `--enable-flashinfer-cutlass-moe` | Enabling Flashinfer Cutlass MoE implementation for high throughput. | False |
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| `--enable-flashinfer-trtllm-moe` | Enabling Flashinfer Trtllm MoE implementation for low latency. | False |
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| `--moe-a2a-backend` | Select the backend for all-to-all communication for expert parallelism. | none |
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| `--moe-runner-backend` | Select the runner backend for MoE. | 'triton' |
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| `--deepep-mode` | Select the mode when enable DeepEP MoE, could be `normal`, `low_latency` or `auto`. Default is `auto`, which means `low_latency` for decode batch and `normal` for prefill batch. | auto |
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| `--ep-num-redundant-experts` | Allocate this number of redundant experts in expert parallel. | 0 |
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| `--ep-dispatch-algorithm` | The algorithm to choose ranks for redundant experts in expert parallel. | None |
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| `--ep-dispatch-algorithm` | The algorithm to choose ranks for redundant experts in EPLB. | None |
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| `--init-expert-location` | Initial location of EP experts. | trivial |
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| `--enable-eplb` | Enable EPLB algorithm. | False |
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| `--eplb-algorithm` | Chosen EPLB algorithm. | auto |
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@@ -280,7 +279,6 @@ Please consult the documentation below and [server_args.py](https://github.com/s
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| `--disable-chunked-prefix-cache` | Disable chunked prefix cache. | False |
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| `--disable-fast-image-processor` | Disable fast image processor. | False |
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| `--enable-return-hidden-states` | Enable returning hidden states. | False |
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| `--enable-triton-kernel-moe` | Enable Triton kernel for MoE. | False |
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## Debug tensor dumps
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