[VERL Use Case] Add torch_memory_saver into deps (#6247)
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@@ -103,7 +103,7 @@ test = [
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"accelerate",
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"accelerate",
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"peft",
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"peft",
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]
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]
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all = ["sglang[srt]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all = ["sglang[srt]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]", "sglang[torch_memory_saver]"]
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all_hip = ["sglang[srt_hip]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_hip = ["sglang[srt_hip]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_xpu = ["sglang[srt_xpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_xpu = ["sglang[srt_xpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_hpu = ["sglang[srt_hpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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all_hpu = ["sglang[srt_hpu]", "sglang[openai]", "sglang[anthropic]", "sglang[litellm]"]
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@@ -19,7 +19,6 @@ rm -rf /usr/local/lib/python3.10/dist-packages/sgl_kernel*
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pip install -e "python[all]"
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pip install -e "python[all]"
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# Install additional dependencies
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# Install additional dependencies
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pip install torch_memory_saver
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pip install transformers==4.51.0 timm torchaudio==2.6.0 sentence_transformers accelerate peft pandas datasets mooncake-transfer-engine==0.3.0
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pip install transformers==4.51.0 timm torchaudio==2.6.0 sentence_transformers accelerate peft pandas datasets mooncake-transfer-engine==0.3.0
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# For compiling xgrammar kernels
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# For compiling xgrammar kernels
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