Function _e_logloss_grad

operators.py:451–453

(op, grad)

    return trainer_ops.e_log_loss(pred,real,weights,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("ELogLoss")
def _e_logloss_grad(op, grad):
    with tf.name_scope("ELogLossGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_log_loss_grad(grad,op.inputs[0],op.inputs[1],op.inputs[2],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))[0],trainer_ops.e_log_loss_grad(grad,op.inputs[0],op.inputs[1],op.inputs[2],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))[2],trainer_ops.e_log_loss_grad(grad,op.inputs[0],op.inputs[1],op.inputs[2],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))[1]