replace tf.types.xxx with tf.xxx

fengjian · fengjian · commit 80197e6dbc39 · 2016-02-16T16:39:41.000+08:00
diff --git a/examples/1 - Introduction/basic_operations.py b/examples/1 - Introduction/basic_operations.py
@@ -23,8 +23,8 @@
 # The value returned by the constructor represents the output
 # of the Variable op. (define as input when running session)
 # tf Graph input
-a = tf.placeholder(tf.types.int16)
-b = tf.placeholder(tf.types.int16)
+a = tf.placeholder(tf.int16)
+b = tf.placeholder(tf.int16)
 
 # Define some operations
 add = tf.add(a, b)
diff --git a/notebooks/1 - Introduction/basic_operations.ipynb b/notebooks/1 - Introduction/basic_operations.ipynb
@@ -76,8 +76,8 @@
     "# The value returned by the constructor represents the output\n",
     "# of the Variable op. (define as input when running session)\n",
     "# tf Graph input\n",
-    "a = tf.placeholder(tf.types.int16)\n",
-    "b = tf.placeholder(tf.types.int16)"
+    "a = tf.placeholder(tf.int16)\n",
+    "b = tf.placeholder(tf.int16)"
    ]
   },
   {
diff --git a/notebooks/3 - Neural Networks/alexnet.ipynb b/notebooks/3 - Neural Networks/alexnet.ipynb
@@ -91,7 +91,7 @@
     "# tf Graph input\n",
     "x = tf.placeholder(tf.float32, [None, n_input])\n",
     "y = tf.placeholder(tf.float32, [None, n_classes])\n",
-    "keep_prob = tf.placeholder(tf.types.float32) # dropout (keep probability)"
+    "keep_prob = tf.placeholder(tf.float32) # dropout (keep probability)"
    ]
   },
   {
diff --git a/notebooks/3 - Neural Networks/convolutional_network.ipynb b/notebooks/3 - Neural Networks/convolutional_network.ipynb
@@ -91,7 +91,7 @@
     "# tf Graph input\n",
     "x = tf.placeholder(tf.float32, [None, n_input])\n",
     "y = tf.placeholder(tf.float32, [None, n_classes])\n",
-    "keep_prob = tf.placeholder(tf.types.float32) #dropout (keep probability)"
+    "keep_prob = tf.placeholder(tf.float32) #dropout (keep probability)"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -76,8 +76,8 @@`
`76`	`76`	`"# The value returned by the constructor represents the output\n",`
`77`	`77`	`"# of the Variable op. (define as input when running session)\n",`
`78`	`78`	`"# tf Graph input\n",`
`79`		`- "a = tf.placeholder(tf.types.int16)\n",`
`80`		`- "b = tf.placeholder(tf.types.int16)"`
	`79`	`+ "a = tf.placeholder(tf.int16)\n",`
	`80`	`+ "b = tf.placeholder(tf.int16)"`
`81`	`81`	`]`
`82`	`82`	`},`
`83`	`83`	`{`
Original file line number	Diff line number	Diff line change
`@@ -91,7 +91,7 @@`
`91`	`91`	`"# tf Graph input\n",`
`92`	`92`	`"x = tf.placeholder(tf.float32, [None, n_input])\n",`
`93`	`93`	`"y = tf.placeholder(tf.float32, [None, n_classes])\n",`
`94`		`- "keep_prob = tf.placeholder(tf.types.float32) # dropout (keep probability)"`
	`94`	`+ "keep_prob = tf.placeholder(tf.float32) # dropout (keep probability)"`
`95`	`95`	`]`
`96`	`96`	`},`
`97`	`97`	`{`