28 lines
1.4 KiB
Python
28 lines
1.4 KiB
Python
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# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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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,
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weight_decay=1e-2, amsgrad=False, optim_bits=32, args=None,
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min_8bit_size=4096, percentile_clipping=100, block_wise=True):
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super(AdamW, self).__init__('adam', params, lr, betas, eps,
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weight_decay, optim_bits, args, min_8bit_size, percentile_clipping, block_wise)
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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,
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weight_decay=1e-2, amsgrad=False, args=None,
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min_8bit_size=4096, percentile_clipping=100, block_wise=True):
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super(AdamW8bit, self).__init__('adam', params, lr, betas, eps,
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weight_decay, 8, args, min_8bit_size, percentile_clipping, block_wise)
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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,
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weight_decay=1e-2, amsgrad=False, args=None,
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min_8bit_size=4096, percentile_clipping=100, block_wise=True):
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super(AdamW32bit, self).__init__('adam', params, lr, betas, eps,
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weight_decay, 32, args, min_8bit_size, percentile_clipping, block_wise)
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