docs update

.github/ISSUE_TEMPLATE.md

@@ -2,11 +2,11 @@ Bug Reports/Feature Requests/Usage Questions Only:
 
 Bug Reports (including performance bug):
 Some part of code (either the library or examples) doesn't work as expected.
-Always include the following:
+PLEASE always include the following:
 1. What you did. (command you run if using examples; post or describe your code if not)
-2. What you observed. (training logs)
-3. What you expected, if not obvious
-4. Your environment (TF version, GPUs), if it matters.
+2. What you observed, e.g. logs.
+3. What you expected, if not obvious.
+4. Your environment (TF version, cudnn version, GPU model), if it matters.
 
 Feature Requests:
 1. Improve an existing feature.

examples/FasterRCNN/NOTES.md

@@ -38,7 +38,10 @@ Model:
 
 Speed:
 
-1. Inference is not quite fast, because either you disable convolution autotune and end up with
+1. The training will start very slow due to convolution warmup, until about 3k steps to reach a maximum speed.
+	 Then the training speed will slowly decrease due to more accurate proposals.
+
+2. Inference is not quite fast, because either you disable convolution autotune and end up with
 	 a slow convolution algorithm, or you spend more time on autotune.
 	 This is a general problem of TensorFlow when running against variable-sized input.