docs: update deepseek v3 example (#2592)
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@@ -23,7 +23,7 @@ runtime_common = ["aiohttp", "decord", "fastapi",
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"psutil", "pydantic", "python-multipart",
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"pyzmq>=25.1.2", "torchao>=0.7.0", "uvicorn", "uvloop",
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"xgrammar>=0.1.6"]
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srt = ["sglang[runtime_common]", "torch", "vllm>=0.6.3.post1,<=0.6.4.post1", "cuda-python", "flashinfer==0.1.6", "sgl-kernel>=0.0.2.post8"]
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srt = ["sglang[runtime_common]", "torch", "vllm>=0.6.3.post1,<=0.6.4.post1", "cuda-python", "flashinfer==0.1.6", "sgl-kernel>=0.0.2.post9"]
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# HIP (Heterogeneous-computing Interface for Portability) for AMD
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# => base docker rocm/vllm-dev:20241022, not from public vllm whl
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@@ -1,3 +1,17 @@
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# Copyright 2024 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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from typing import Callable, Optional
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import torch
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@@ -1,3 +1,17 @@
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# Copyright 2024 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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from typing import List, Tuple
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import torch
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