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Fix quote on LBSGD docs #13975

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Feb 15, 2019
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Fix quote on LBSGD docs #13975

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25988d5
change docs lbsgd
ThomasDelteil Jan 23, 2019
730bc29
fix more
ThomasDelteil Jan 24, 2019
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18 changes: 8 additions & 10 deletions python/mxnet/optimizer/optimizer.py
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Expand Up @@ -492,11 +492,10 @@ class SGD(Optimizer):
if the storage types of weight and grad are both ``row_sparse``.
multi_precision: bool, optional
Flag to control the internal precision of the optimizer.::

False: results in using the same precision as the weights (default),
True: makes internal 32-bit copy of the weights and applies gradients
in 32-bit precision even if actual weights used in the model have lower precision.
Turning this on can improve convergence and accuracy when training with float16.
False: results in using the same precision as the weights (default),
True: makes internal 32-bit copy of the weights and applies gradients
in 32-bit precision even if actual weights used in the model have lower precision.
Turning this on can improve convergence and accuracy when training with float16.
"""
def __init__(self, momentum=0.0, lazy_update=True, **kwargs):
super(SGD, self).__init__(**kwargs)
Expand Down Expand Up @@ -707,11 +706,10 @@ class LBSGD(Optimizer):
The momentum value.
multi_precision: bool, optional
Flag to control the internal precision of the optimizer.::

False: results in using the same precision as the weights (default),
True: makes internal 32-bit copy of the weights and applies gradients
in 32-bit precision even if actual weights used in the model have lower precision.
Turning this on can improve convergence and accuracy when training with float16.
False: results in using the same precision as the weights (default),
True: makes internal 32-bit copy of the weights and applies gradients
in 32-bit precision even if actual weights used in the model have lower precision.
Turning this on can improve convergence and accuracy when training with float16.

warmup_strategy: string ('linear', 'power2', 'sqrt'. , 'lars' default : 'linear')
warmup_epochs: unsigned, default: 5
Expand Down