618ac4edb1bf01124413f5b9d2fe0ef157f5edd8,tensorforce/core/models/pg_prob_ratio_model.py,PGProbRatioModel,tf_loss_per_instance,#PGProbRatioModel#Any#Any#Any#Any#Any#Any#Any#Any#,80

Before Change

        log_probs = list()
        for name in sorted(self.distributions):
            distribution = self.distributions[name]
            distr_params = distribution.parameterize(x=embedding)
            log_prob = distribution.log_probability(distr_params=distr_params, action=actions[name])
            collapsed_size = util.product(xs=util.shape(log_prob)[1:])
            log_prob = tf.reshape(tensor=log_prob, shape=(-1, collapsed_size))
            log_probs.append(log_prob)

After Change

        for name, distribution in self.distributions.items():
            distr_params = distribution.parameterize(x=embedding)
            action = actions[name]
            log_prob = distribution.log_probability(distr_params=distr_params, action=action)
            collapsed_size = util.product(xs=util.shape(log_prob)[1:])
            log_prob = tf.reshape(tensor=log_prob, shape=(-1, collapsed_size))
            log_probs.append(log_prob)

Instances