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Use different approach for applying max eig, with matmul, no inverse.

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This commit is contained in:
Daniel Povey 2022-07-31 01:32:11 -07:00
parent ed1a147ef1
commit 90fa8a63eb
1 changed files with 1 additions and 1 deletions
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egs/librispeech/ASR/pruned_transducer_stateless7/optim.py
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@ -1821,7 +1821,7 @@ def _test_eve_cain():
fix_random_seed(42)
Linear = torch.nn.Linear if iter == 0 else ScaledLinear
hidden_dim = 200
hidden_dim = 300
m = torch.nn.Sequential(Linear(E, hidden_dim),
torch.nn.PReLU(),
Linear(hidden_dim, hidden_dim),