mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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80 lines
2.2 KiB
80 lines
2.2 KiB
2 years ago
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{
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"get_started/installation",
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"get_started/reading_roadmap"
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"concepts/distributed_training",
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"concepts/colossalai_overview"
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"items": [
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"basics/command_line_tool",
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"basics/launch_colossalai",
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"basics/initialize_features",
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"basics/engine_trainer",
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"basics/configure_parallelization",
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"basics/model_checkpoint",
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"basics/colotensor_concept"
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"features/gradient_clipping",
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"features/gradient_handler",
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"features/zero_with_chunk",
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"label": "Tensor Parallel",
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"features/1D_tensor_parallel",
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"features/2p5D_tensor_parallel",
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"features/3D_tensor_parallel"
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]
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},
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"features/pipeline_parallel",
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"features/nvme_offload"
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},
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"type": "category",
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"label": "Advanced Tutorials",
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"items": [
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"advanced_tutorials/train_vit_using_pipeline_parallelism",
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"advanced_tutorials/train_vit_with_hybrid_parallelism",
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"advanced_tutorials/train_gpt_using_hybrid_parallelism",
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"advanced_tutorials/define_your_own_parallel_model",
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"advanced_tutorials/add_your_parallel",
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"advanced_tutorials/meet_gemini",
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"advanced_tutorials/parallelize_your_training_like_Megatron",
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"advanced_tutorials/integrate_mixture_of_experts_into_your_model"
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]
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}
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]
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}
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