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Reduce debug probs

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This commit is contained in:
Daniel Povey 2022-07-09 10:22:19 +08:00
parent 65bc964854
commit 35a51bc153
1 changed files with 3 additions and 3 deletions
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6
egs/librispeech/ASR/pruned_transducer_stateless7/optim.py
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@ -370,8 +370,8 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
rank = numel // size
rms = self._smooth_param_rms(group, S.sqrt(), rank)
if random.random() < 0.05:
logging.info(f"Shape={tuple(p.shape)}, dim={dim}, size={size}, rms={rms[::10]}")
if random.random() < 0.0005:
logging.info(f"Shape={tuple(p.shape)}, dim={dim}, rank={rank}, size={size}, rms={rms[::10]}")
Q = state[f"Q_{dim}"]
Q[:] = (U * rms).t()
@ -405,7 +405,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
N_grad_cov = torch.matmul(Q, torch.matmul(grad_cov, Q.t()))
N_grad_cov = N_grad_cov + N_grad_cov.t() # ensure symmetric
U, S, V = _svd(N_grad_cov)
if random.random() < 0.1:
if random.random() < 0.001:
logging.info(f"Diagonalizing, shape={tuple(p.shape)}, dim={dim}, dispersion "
f"changed from {dispersion(N_grad_cov.diag())} to {dispersion(S)}")