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from bitsandbytes.optim.optimizer import Optimizer2State |
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class AdamW(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True, is_paged=False): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, optim_bits, args, min_8bit_size, percentile_clipping, block_wise, is_paged=is_paged ) |
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class AdamW8bit(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True, is_paged=False): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, 8, args, min_8bit_size, percentile_clipping, block_wise, is_paged=is_paged ) |
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class AdamW32bit(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True, is_paged=False): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, 32, args, min_8bit_size, percentile_clipping, block_wise, is_paged=is_paged) |
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class PagedAdamW(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, optim_bits, args, min_8bit_size, percentile_clipping, block_wise, is_paged=True) |
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class PagedAdamW8bit(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, 8, args, min_8bit_size, percentile_clipping, block_wise, is_paged=True) |
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class PagedAdamW32bit(Optimizer2State): |
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def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=1e-2, amsgrad=False, optim_bits=32, |
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args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True): |
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super().__init__( "adam", params, lr, betas, eps, weight_decay, 32, args, min_8bit_size, percentile_clipping, block_wise, is_paged=True) |
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