mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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30 lines
882 B
30 lines
882 B
#!/usr/bin/env python |
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# -*- encoding: utf-8 -*- |
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ALLOWED_MODES = [None, '1d', '2d', '2.5d', '3d', 'sequence'] |
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TENSOR_PARALLEL_MODE = 'tensor_parallel_mode' |
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# intializer |
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INITIALIZER_MAPPING = { |
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'data': 'Initializer_Data', |
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'tensor': 'Initializer_Tensor', |
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'pipeline': 'Initializer_Pipeline', |
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'embedding': 'Initializer_Embedding', |
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'1d': 'Initializer_1D', |
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'2d': 'Initializer_2D', |
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'2.5d': 'Initializer_2p5D', |
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'3d': 'Initializer_3D', |
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'sequence': 'Initializer_Sequence', |
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'model': 'Initializer_Model', |
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'moe': 'Initializer_Moe' |
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} |
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# 3D parallelism groups |
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INPUT_GROUP_3D = 'input_group_3d' |
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WEIGHT_GROUP_3D = 'weight_group_3d' |
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OUTPUT_GROUP_3D = 'output_group_3d' |
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# Attributes of tensor parallel parameters |
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IS_TENSOR_PARALLEL = 'is_tensor_parallel' |
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NUM_PARTITIONS = 'num_partitions' |
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TENSOR_PARALLEL_ATTRIBUTES = [IS_TENSOR_PARALLEL, NUM_PARTITIONS]
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