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Unverified Commit 7d0fcd09 authored by Billy Lamberta's avatar Billy Lamberta Committed by GitHub
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Merge pull request #4766 from MarkDaoust/autopgraph-guide 

Add clarifications
parents c5b8f2f1 a73c656a
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Showing with 28 additions and 131 deletions
samples/core/guide/autograph.ipynb
View file @ 7d0fcd09
...@@ -5,8 +5,6 @@ ...@@ -5,8 +5,6 @@
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...@@ -36,12 +34,7 @@ ...@@ -36,12 +34,7 @@
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...@@ -144,12 +132,7 @@ ...@@ -144,12 +132,7 @@
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...@@ -278,12 +246,7 @@ ...@@ -278,12 +246,7 @@
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...@@ -306,12 +269,7 @@ ...@@ -306,12 +269,7 @@
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...@@ -375,12 +328,7 @@ ...@@ -375,12 +328,7 @@
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...@@ -405,12 +353,7 @@ ...@@ -405,12 +353,7 @@
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...@@ -631,12 +554,7 @@ ...@@ -631,12 +554,7 @@
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...@@ -728,12 +641,7 @@ ...@@ -728,12 +641,7 @@
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...@@ -756,12 +664,7 @@ ...@@ -756,12 +664,7 @@
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...@@ -786,6 +689,9 @@ ...@@ -786,6 +689,9 @@
"\n", "\n",
"def fit(m, x, y, opt):\n", "def fit(m, x, y, opt):\n",
" l, accuracy = predict(m, x, y)\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", " opt.minimize(l)\n",
" return l, accuracy\n", " return l, accuracy\n",
"\n", "\n",
...@@ -826,15 +732,12 @@ ...@@ -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", "def train(train_ds, test_ds, hp):\n",
" m = mlp_model((28 * 28,))\n", " m = mlp_model((28 * 28,))\n",
" opt = tf.train.MomentumOptimizer(hp.learning_rate, 0.9)\n", " opt = tf.train.MomentumOptimizer(hp.learning_rate, 0.9)\n",
...@@ -893,12 +796,7 @@ ...@@ -893,12 +796,7 @@
"metadata": { "metadata": {
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...@@ -909,9 +807,8 @@ ...@@ -909,9 +807,8 @@
" )\n", " )\n",
" train_ds = setup_mnist_data(True, 50)\n", " train_ds = setup_mnist_data(True, 50)\n",
" test_ds = setup_mnist_data(False, 1000)\n", " test_ds = setup_mnist_data(False, 1000)\n",
" tf_train = autograph.to_graph(train)\n",
" (train_losses, test_losses, train_accuracies,\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", "\n",
" init = tf.global_variables_initializer()\n", " init = tf.global_variables_initializer()\n",
" \n", " \n",
...@@ -940,4 +837,4 @@ ...@@ -940,4 +837,4 @@
"outputs": [] "outputs": []
} }
] ]
} }
\ No newline at end of file
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