1e339c1a0a186da155c9dc2ab8798075d248dc3e,hypergan/optimizers/curl_optimizer.py,CurlOptimizer,apply_gradients,#CurlOptimizer#Any#Any#Any#,44

Before Change

    with tf.get_default_graph().control_dependencies([op1, op2]):
        // store g2
        //op3 = self.optimizer.apply_gradients(list(grads_and_vars).copy(), global_step=global_step, name=name)
        op3 = tf.group(*[tf.assign_sub(v, self._lr_t*grad) for grad,v in grads_and_vars])
        with tf.get_default_graph().control_dependencies([op3]):

            def curlcombine(g1,g2,_v1,_v2):
                J = (g2-g1)/((_v2-_v1)+1e-8)

After Change

    with tf.get_default_graph().control_dependencies([op1, op2]):
        // store g2
        op3 = self.optimizer.apply_gradients(list(grads_and_vars).copy(), global_step=global_step, name=name)
        //op3 = tf.group(*[tf.assign_sub(v, self._lr_t*grad) for grad,v in grads_and_vars])
        with tf.get_default_graph().control_dependencies([op3]):

            def curlcombine(g1,g2,_v1,_v2):

Instances