Use tf_keras instead of Keras 3

17_autoencoders_gans_and_diffusion_models.ipynb

@@ -83,6 +83,25 @@
     "assert version.parse(sklearn.__version__) >= version.parse(\"1.0.1\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Warning**: the latest TensorFlow versions are based on Keras 3. For chapters 10-15, it wasn't too hard to update the code to support Keras 3, but unfortunately it's much harder for this chapter, in particular adding custom losses using the functional API is not implemented yet. So for this chapter I've had to revert to Keras 2. To do that, I set the `TF_USE_LEGACY_KERAS` environment variable to `\"1\"` and import the `tf_keras` package. This ensures that `tf.keras` points to `tf_keras`, which is Keras 2.*."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.environ[\"TF_USE_LEGACY_KERAS\"] = \"1\" \n",
+    "\n",
+    "import tf_keras"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -94,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "id": "0Piq5se2pKzx"
    },
@@ -116,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "id": "8d4TH3NbpKzx"
    },
@@ -142,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "id": "PQFH5Y9PpKzy"
    },
@@ -171,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "id": "Ekxzo6pOpKzy"
    },
@@ -202,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -227,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -248,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -309,7 +328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -331,7 +350,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -420,7 +439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -474,7 +493,7 @@
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-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {
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     "outputId": "47f84d4f-b41f-4ef9-d653-d73506cb4839"
@@ -499,7 +518,7 @@
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-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {
     "id": "klppwl4gyLhC",
     "outputId": "b66330ea-5d49-4153-82ce-39fb78614a64"
@@ -534,7 +553,7 @@
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+   "execution_count": 17,
    "metadata": {
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     "outputId": "239e4fe5-7756-40c1-cc2c-70c83eee6c0f"
@@ -598,7 +617,7 @@
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-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {
     "id": "jTru0q0CyLhD"
    },
@@ -623,7 +642,7 @@
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-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {
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     "outputId": "e8045bff-7004-4940-8d00-295ad99c0f23"
@@ -684,7 +703,7 @@
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-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {
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     "outputId": "8427f9cc-630f-4cc9-a1f5-7361c5eab6dc",
@@ -721,7 +740,7 @@
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-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {
     "id": "CIqJ922pyLhE"
    },
@@ -741,7 +760,7 @@
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-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {
     "id": "-3TSUkv4yLhE",
     "outputId": "bca2fb96-7ddf-4457-b1df-30cdce8d803e"
@@ -807,7 +826,7 @@
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-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {
     "id": "FpjUrD77yLhE"
    },
@@ -822,7 +841,7 @@
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   {
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-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {
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     "outputId": "52eb1adf-f4c4-4029-f68b-1ef420a5daed"
@@ -855,7 +874,7 @@
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-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {
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     "outputId": "3d367c4e-82d4-48d9-8757-b106edf00650"
@@ -886,7 +905,7 @@
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-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
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     "outputId": "fef0981b-6b8d-4e9d-e837-9e3c20358e9e"
@@ -930,7 +949,7 @@
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-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {
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@@ -996,7 +1015,7 @@
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-   "execution_count": 27,
+   "execution_count": 28,
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@@ -1039,7 +1058,7 @@
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-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "id": "ZGOuVy0kyLhG"
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@@ -1062,7 +1081,7 @@
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-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
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     "outputId": "e6bb8d79-9a57-4fd3-e336-b81687de6781"
@@ -1102,7 +1121,7 @@
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-   "execution_count": 30,
+   "execution_count": 31,
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     "outputId": "e5b59e40-09bc-4d82-bb6d-58ae7d7cc376"
@@ -1146,7 +1165,7 @@
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-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
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     "outputId": "3be1a3bc-7f30-4793-955e-07bf60fc3b6e"
@@ -1203,7 +1222,7 @@
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-   "execution_count": 32,
+   "execution_count": 33,
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     "outputId": "d9a4289a-fde7-4e3b-c968-72421ddbfe6d"
@@ -1258,7 +1277,7 @@
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-   "execution_count": 33,
+   "execution_count": 34,
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@@ -1315,7 +1334,7 @@
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+   "execution_count": 35,
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@@ -1351,7 +1370,7 @@
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+   "execution_count": 36,
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@@ -1399,7 +1418,7 @@
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-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {
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@@ -1428,7 +1447,7 @@
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-   "execution_count": 37,
+   "execution_count": 38,
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@@ -1486,7 +1505,7 @@
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-   "execution_count": 38,
+   "execution_count": 39,
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@@ -1522,7 +1541,7 @@
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-   "execution_count": 39,
+   "execution_count": 40,
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@@ -1536,7 +1555,7 @@
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-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {},
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    "source": [
@@ -1557,7 +1576,7 @@
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+   "execution_count": 42,
    "metadata": {},
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@@ -1571,7 +1590,7 @@
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+   "execution_count": 43,
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@@ -1582,7 +1601,7 @@
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+   "execution_count": 44,
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@@ -1594,7 +1613,7 @@
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+   "execution_count": 45,
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@@ -1665,7 +1684,7 @@
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+   "execution_count": 46,
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@@ -1708,7 +1727,7 @@
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+   "execution_count": 47,
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@@ -1727,7 +1746,7 @@
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+   "execution_count": 48,
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@@ -1775,7 +1794,7 @@
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@@ -1791,7 +1810,7 @@
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@@ -1825,7 +1844,7 @@
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@@ -1853,7 +1872,7 @@
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@@ -1866,7 +1885,7 @@
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@@ -1879,7 +1898,7 @@
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@@ -2026,7 +2045,7 @@
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@@ -2038,7 +2057,7 @@
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@@ -2110,7 +2129,7 @@
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+   "execution_count": 58,
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@@ -2124,7 +2143,7 @@
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@@ -2135,7 +2154,7 @@
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@@ -2268,7 +2287,7 @@
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@@ -2358,7 +2377,7 @@
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+   "execution_count": 63,
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@@ -2401,7 +2420,7 @@
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@@ -2427,7 +2446,7 @@
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@@ -2455,7 +2474,7 @@
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+   "execution_count": 66,
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@@ -2559,7 +2578,7 @@
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@@ -2597,7 +2616,7 @@
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@@ -2674,7 +2693,7 @@
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@@ -2764,7 +2783,7 @@
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@@ -2797,7 +2816,7 @@
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@@ -2853,7 +2872,7 @@
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@@ -3281,7 +3300,7 @@
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