Lines Matching refs:losses
53 losses = np.array(self._SigmoidCrossEntropyWithLogits(x, y)).reshape(*sizes)
54 return logits, targets, losses
67 logits, targets, losses = self._Inputs(dtype=dtype)
70 np_loss = np.array(losses).astype(np.float32)
78 logits, targets, losses = self._Inputs(dtype=dtype, sizes=[2, 2, 2])
81 np_loss = np.array(losses).astype(np.float32)
129 losses = np.array(self._WeightedCrossEntropy(x, y, q)).reshape(*sizes)
130 return logits, targets, q, losses
142 logits, targets, pos_weight, losses = self._Inputs(dtype=dtypes.float32)
145 np_loss = np.array(losses).astype(np.float32)
152 logits, targets, pos_weight, losses = self._Inputs(
156 np_loss = np.array(losses).astype(np.float32)
