bc5e993ae30a59d7bcdfa03513ecc3d43b58a5f7,tests/auto/test_loss_masking.py,TestLossMasking,test_loss_masking_time,#TestLossMasking#,24

Before Change

        Y = 2 * X

        weights = np.ones((3, 4, 1))  // Normally the trailing 1 is added by standardize_weights
        weights[0, 0] = 0
        mask = np.ones((3, 4))
        mask[1, 0] = 0

After Change

        out = K.eval(weighted_loss(K.variable(X),
                                   K.variable(Y),
                                   K.variable(weights),
                                   K.variable(mask)))
        print(out)

Instances