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Introduce scalar_max, stop eps getting large or small

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This commit is contained in:
Daniel Povey 2022-07-10 10:13:55 +08:00
parent 2f73434541
commit b7035844a2
1 changed files with 5 additions and 4 deletions
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9
egs/librispeech/ASR/pruned_transducer_stateless7/optim.py
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@ -58,6 +58,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
learning the scale on the parameters (we'll keep it >= this size)
param_max_rms: Maximum root-mean-square value of parameter tensor, for purposes of
learning the scale on the parameters (we'll keep it <= this size)
scalar_max: Maximum absolute value for scalar parameters
size_update_period: The periodicity, in steps, with which we update the size (scale)
of the parameter tensor. This is provided to save a little time.
lr_update_period: The periodicity, in steps, with which we update the learning-rate matrices.
@ -75,6 +76,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
eps=1.0e-08,
param_min_rms=1.0e-05,
param_max_rms=2.0,
scalar_max=2.0,
size_update_period=4,
lr_update_period=200,
grad_cov_period=3,
@ -92,6 +94,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
eps=eps,
param_min_rms=param_min_rms,
param_max_rms=param_max_rms,
scalar_max=scalar_max,
size_update_period=size_update_period,
lr_update_period=lr_update_period,
grad_cov_period=grad_cov_period,
@ -514,9 +517,6 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
def _step(self,
group: dict,
p: Tensor,
@ -618,7 +618,8 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
delta = state["delta"]
delta.add_(grad / denom, alpha=alpha)
scalar_max = state["scalar_max"]
p.clamp_(min=-scalar_max, max=scalar_max)
def _project(self,
x: Tensor,