Update PostTrainQuantizer initialization sample in docs (add htmls)

docs/index.html

@@ -273,5 +273,5 @@ And of course, if we used a sparse or compressed representation, then we are red
 
 <!--
 MkDocs version : 1.0.4
-Build Date UTC : 2019-05-19 07:50:55
+Build Date UTC : 2019-05-19 08:14:18
 -->

docs/schedule.html

@@ -559,14 +559,7 @@ args = parser.parse_args()
 <p>(Note that <code>--quantize-eval</code> and <code>--qe-calibration</code> are mutually exclusive.)</p>
 <p>When using these command line arguments, the quantizer can be invoked as follows:</p>
 <pre><code class="python">if args.quantize_eval:
-    if args.qe_config_file:
-        quantizer = distiller.config_component_from_file_by_class(model, args.qe_config_file,
-                                                                  'PostTrainLinearQuantizer')
-    else:
-        quantizer = quantization.PostTrainLinearQuantizer(model, args.qe_bits_acts, args.qe_bits_wts,
-                                                          args.qe_bits_accum, None, args.qe_mode, args.qe_clip_acts,
-                                                          args.qe_no_clip_layers, args.qe_per_channel,
-                                                          args.qe_stats_file)
+    quantizer = distiller.quantization.PostTrainLinearQuantizer.from_args(model, args)
     quantizer.prepare_model()
     # Execute evaluation on model as usual
 </code></pre>