Fixed syntax and import error.
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0c5fa5a637
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@ -2,6 +2,7 @@
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#
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#
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# This source code is licensed under the MIT license found in the
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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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# LICENSE file in the root directory of this source tree.
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import torch
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from bitsandbytes.optim.optimizer import Optimizer2State
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from bitsandbytes.optim.optimizer import Optimizer2State
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import bitsandbytes.functional as F
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import bitsandbytes.functional as F
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@ -49,7 +50,7 @@ class AnalysisAdam(torch.optim.Optimizer):
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amsgrad (boolean, optional): whether to use the AMSGrad variant of this
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amsgrad (boolean, optional): whether to use the AMSGrad variant of this
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algorithm from the paper `On the Convergence of Adam and Beyond`_
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algorithm from the paper `On the Convergence of Adam and Beyond`_
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.. _Adam\: A Method for Stochastic Optimization:
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.. _Adam: A Method for Stochastic Optimization:
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https://arxiv.org/abs/1412.6980
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https://arxiv.org/abs/1412.6980
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.. _On the Convergence of Adam and Beyond:
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.. _On the Convergence of Adam and Beyond:
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https://openreview.net/forum?id=ryQu7f-RZ
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https://openreview.net/forum?id=ryQu7f-RZ
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@ -192,6 +193,7 @@ class AnalysisAdam(torch.optim.Optimizer):
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C2 = F.quantize_no_absmax(exp_avg_sq, code=code2)
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C2 = F.quantize_no_absmax(exp_avg_sq, code=code2)
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state2 = F.dequantize_no_absmax(C2, code2)
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state2 = F.dequantize_no_absmax(C2, code2)
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elif self.analysis == 'my-quantization-routine':
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elif self.analysis == 'my-quantization-routine':
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pass
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# 1. get code
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# 1. get code
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# 2. quantize
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# 2. quantize
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# 3. dequantize
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# 3. dequantize
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