Deploy to GitHub Pages: 0c7111e3

develop/doc/_sources/howto/usage/cluster/fluid_cluster_train_en.md.txt

@@ -103,7 +103,7 @@ t.transpile(optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2)
 # in pserver, run this
 exe.run(fluid.default_startup_program())
 #current_endpoint here means current pserver IP:PORT you wish to run on
-exe.run(t.get_pserver_program(current_endpoint, optimize_ops)) 
+exe.run(t.get_pserver_program(current_endpoint))
 
 # in trainer, run this
 ... # define data reader

develop/doc/howto/usage/cluster/fluid_cluster_train_en.html

@@ -301,7 +301,7 @@
 <span class="c1"># in pserver, run this</span>
 <span class="n">exe</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">fluid</span><span class="o">.</span><span class="n">default_startup_program</span><span class="p">())</span>
 <span class="c1">#current_endpoint here means current pserver IP:PORT you wish to run on</span>
-<span class="n">exe</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">get_pserver_program</span><span class="p">(</span><span class="n">current_endpoint</span><span class="p">,</span> <span class="n">optimize_ops</span><span class="p">))</span> 
+<span class="n">exe</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">get_pserver_program</span><span class="p">(</span><span class="n">current_endpoint</span><span class="p">))</span>
 
 <span class="c1"># in trainer, run this</span>
 <span class="o">...</span> <span class="c1"># define data reader</span>