def q_loss(self, y_true, y_pred):
# assume clip_delta is 1.0
# along with sum accumulator.
diff = y_true - y_pred
_quad = T.minimum(abs(diff), 1.0)
_lin = abs(diff) - _quad
loss = 0.5 * _quad ** 2 + _lin
loss = T.sum(loss)
return loss
example_support.py 文件源码
python
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