Update documentation

README.md

@@ -25,7 +25,7 @@ $ pip3 install --user --upgrade tensorflow-qnd
 
 ```
 def_run(batch_inputs=True, prepare_filename_queues=True)
-    Define run() function.
+    Define `run()` function.
 
     See also `help(def_run())`.
 
@@ -53,7 +53,9 @@ run(model_fn, train_input_fn, eval_input_fn=None)
                 `Tensor, Tensor, Operation, eval_metrics=dict<str, Tensor>`
                 (predictions, loss, train_op, and eval_metrics (if any)),
                 `ModelFnOps`.
-        input_fn: A function to serve input Tensors fed into the model.
+        train_input_fn, eval_input_fn: Functions to serve input Tensors
+            fed into the model. If `eval_input_fn` is `None`,
+            `train_input_fn` will be used instead.
             Types of its arguments must be one of the following:
                 `QueueBase` (a filename queue),
                 `None` (No argument).

docs/qnd/run.m.html

@@ -1002,7 +1002,7 @@ <h1 class="title"><span class="name">qnd.run</span> module</h1>
 
 
 def def_run(batch_inputs=True, prepare_filename_queues=True):
-    """Define run() function.
+    """Define `run()` function.
 
     See also `help(def_run())`.
 
@@ -1036,7 +1036,9 @@ <h1 class="title"><span class="name">qnd.run</span> module</h1>
                     `Tensor, Tensor, Operation, eval_metrics=dict<str, Tensor>`
                     (predictions, loss, train_op, and eval_metrics (if any)),
                     `ModelFnOps`.
-            input_fn: A function to serve input Tensors fed into the model.
+            train_input_fn, eval_input_fn: Functions to serve input Tensors
+                fed into the model. If `eval_input_fn` is `None`,
+                `train_input_fn` will be used instead.
                 Types of its arguments must be one of the following:
                     `QueueBase` (a filename queue),
                     `None` (No argument).
@@ -1072,7 +1074,7 @@ <h2 class="section-title" id="header-functions">Functions</h2>
 
 
 
-    <div class="desc"><p>Define run() function.</p>
+    <div class="desc"><p>Define <code>run()</code> function.</p>
 <p>See also <code>help(def_run())</code>.</p>
 <p>Args:
     batch_inputs: If <code>True</code>, create batches from Tensors
@@ -1087,7 +1089,7 @@ <h2 class="section-title" id="header-functions">Functions</h2>
   <p class="source_link"><a href="javascript:void(0);" onclick="toggle('source-qnd.run.def_run', this);">Show source &equiv;</a></p>
   <div id="source-qnd.run.def_run" class="source">
     <pre><code>def def_run(batch_inputs=True, prepare_filename_queues=True):
-    """Define run() function.
+    """Define `run()` function.
 
     See also `help(def_run())`.
 
@@ -1121,7 +1123,9 @@ <h2 class="section-title" id="header-functions">Functions</h2>
                     `Tensor, Tensor, Operation, eval_metrics=dict<str, Tensor>`
                     (predictions, loss, train_op, and eval_metrics (if any)),
                     `ModelFnOps`.
-            input_fn: A function to serve input Tensors fed into the model.
+            train_input_fn, eval_input_fn: Functions to serve input Tensors
+                fed into the model. If `eval_input_fn` is `None`,
+                `train_input_fn` will be used instead.
                 Types of its arguments must be one of the following:
                     `QueueBase` (a filename queue),
                     `None` (No argument).