106 lines
2.3 KiB
Python
106 lines
2.3 KiB
Python
# 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 LAMB(Optimizer2State):
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def __init__(
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self,
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params,
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lr=1e-3,
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bias_correction=True,
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betas=(0.9, 0.999),
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eps=1e-8,
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weight_decay=0,
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amsgrad=False,
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adam_w_mode=True,
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optim_bits=32,
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args=None,
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min_8bit_size=4096,
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percentile_clipping=100,
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block_wise=False,
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max_unorm=1.0,
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):
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super(LAMB, self).__init__(
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"lamb",
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params,
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lr,
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betas,
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eps,
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weight_decay,
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optim_bits,
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args,
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min_8bit_size,
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percentile_clipping,
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block_wise,
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max_unorm=1.0,
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)
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class LAMB8bit(Optimizer2State):
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def __init__(
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self,
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params,
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lr=1e-3,
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bias_correction=True,
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betas=(0.9, 0.999),
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eps=1e-8,
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weight_decay=0,
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amsgrad=False,
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adam_w_mode=True,
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args=None,
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min_8bit_size=4096,
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percentile_clipping=100,
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block_wise=False,
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max_unorm=1.0,
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):
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super(LAMB8bit, self).__init__(
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"lamb",
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params,
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lr,
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betas,
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eps,
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weight_decay,
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8,
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args,
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min_8bit_size,
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percentile_clipping,
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block_wise,
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max_unorm=1.0,
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)
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class LAMB32bit(Optimizer2State):
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def __init__(
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self,
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params,
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lr=1e-3,
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bias_correction=True,
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betas=(0.9, 0.999),
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eps=1e-8,
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weight_decay=0,
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amsgrad=False,
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adam_w_mode=True,
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args=None,
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min_8bit_size=4096,
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percentile_clipping=100,
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block_wise=False,
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max_unorm=1.0,
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):
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super(LAMB32bit, self).__init__(
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"lamb",
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params,
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lr,
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betas,
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eps,
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weight_decay,
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32,
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args,
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min_8bit_size,
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percentile_clipping,
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block_wise,
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max_unorm=1.0,
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)
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