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Commit a73c656a authored by Mark Daoust's avatar Mark Daoust
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Add clarifications from discussion with @mdanatg

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samples/core/guide/autograph.ipynb
View file @ a73c656a
......@@ -5,8 +5,6 @@
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......@@ -36,12 +34,7 @@
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......@@ -116,12 +109,7 @@
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......@@ -144,12 +132,7 @@
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......@@ -177,12 +160,7 @@
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......@@ -217,12 +195,7 @@
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......@@ -250,12 +223,7 @@
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......@@ -278,12 +246,7 @@
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......@@ -306,12 +269,7 @@
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......@@ -342,12 +300,7 @@
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......@@ -375,12 +328,7 @@
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......@@ -405,12 +353,7 @@
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......@@ -467,12 +410,7 @@
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......@@ -507,12 +445,7 @@
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......@@ -547,12 +480,7 @@
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......@@ -591,12 +519,7 @@
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......@@ -631,12 +554,7 @@
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......@@ -667,12 +585,7 @@
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......@@ -728,12 +641,7 @@
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......@@ -756,12 +664,7 @@
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......@@ -786,6 +689,9 @@
"\n",
"def fit(m, x, y, opt):\n",
" l, accuracy = predict(m, x, y)\n",
" # Autograph automatically adds the necessary `tf.control_dependencies` here.\n",
" # (Without them nothing depends on `opt.minimize`, so it doesn't run.)\n",
" # This makes it much more like eager-code.\n",
" opt.minimize(l)\n",
" return l, accuracy\n",
"\n",
......@@ -826,15 +732,12 @@
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"# Use `recursive = True` to recursively convert functions called by this one.\n",
"@autograph.convert(recursive=True)\n",
"def train(train_ds, test_ds, hp):\n",
" m = mlp_model((28 * 28,))\n",
" opt = tf.train.MomentumOptimizer(hp.learning_rate, 0.9)\n",
......@@ -893,12 +796,7 @@
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......@@ -909,9 +807,8 @@
" )\n",
" train_ds = setup_mnist_data(True, 50)\n",
" test_ds = setup_mnist_data(False, 1000)\n",
" tf_train = autograph.to_graph(train)\n",
" (train_losses, test_losses, train_accuracies,\n",
" test_accuracies) = tf_train(train_ds, test_ds, hp)\n",
" test_accuracies) = train(train_ds, test_ds, hp)\n",
"\n",
" init = tf.global_variables_initializer()\n",
" \n",
......
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