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Fix signed-unsigned biases

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This commit is contained in:
Jean-Marc Valin 2021-07-21 22:35:02 -04:00
parent 51ef273e06
commit e4b4613d05
2 changed files with 8 additions and 2 deletions
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5
dnn/training_tf2/dump_lpcnet.py
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@ -140,8 +140,8 @@ def dump_grub(self, f, hf, gru_a_size):
qweight = printSparseVector(f, weights[0][:gru_a_size, :], name + '_weights', have_diag=False)
f.write('#ifdef DOT_PROD\n')
qweight = np.clip(np.round(128.*weights[1]).astype('int'), -128, 127)
printVector(f, qweight, name + '_recurrent_weights', dotp=True, dtype='qweight')
qweight2 = np.clip(np.round(128.*weights[1]).astype('int'), -128, 127)
printVector(f, qweight2, name + '_recurrent_weights', dotp=True, dtype='qweight')
f.write('#else /*DOT_PROD*/\n')
printVector(f, weights[1], name + '_recurrent_weights')
f.write('#endif /*DOT_PROD*/\n')
@ -149,6 +149,7 @@ def dump_grub(self, f, hf, gru_a_size):
printVector(f, weights[-1], name + '_bias')
subias = weights[-1].copy()
subias[0,:] = subias[0,:] - np.sum(qweight*(1./128.),axis=0)
subias[1,:] = subias[1,:] - np.sum(qweight2*(1./128.),axis=0)
printVector(f, subias, name + '_subias')
if hasattr(self, 'activation'):
activation = self.activation.__name__.upper()