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1048 | 1048 | "source": [
|
1049 | 1049 | "random_tool = v1.keras.utils.DeterministicRandomTestTool(mode='num_random_ops')\n",
|
1050 | 1050 | "with random_tool.scope():\n",
|
1051 |
| - " tf.keras.utils.set_random_seed(42)\n", |
| 1051 | + " tf.keras.utils.set_random_seed(42)\n", |
1052 | 1052 | " layer = CompatModel(10)\n",
|
1053 | 1053 | "\n",
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1054 | 1054 | " inputs = tf.random.normal(shape=(10, 5, 5, 5))\n",
|
|
1070 | 1070 | "source": [
|
1071 | 1071 | "random_tool = v1.keras.utils.DeterministicRandomTestTool(mode='num_random_ops')\n",
|
1072 | 1072 | "with random_tool.scope():\n",
|
1073 |
| - " tf.keras.utils.set_random_seed(42)\n", |
| 1073 | + " tf.keras.utils.set_random_seed(42)\n", |
1074 | 1074 | " layer = PartiallyMigratedModel(10)\n",
|
1075 | 1075 | "\n",
|
1076 | 1076 | " inputs = tf.random.normal(shape=(10, 5, 5, 5))\n",
|
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1144 | 1144 | "source": [
|
1145 | 1145 | "random_tool = v1.keras.utils.DeterministicRandomTestTool(mode='num_random_ops')\n",
|
1146 | 1146 | "with random_tool.scope():\n",
|
1147 |
| - " tf.keras.utils.set_random_seed(42)\n", |
| 1147 | + " tf.keras.utils.set_random_seed(42)\n", |
1148 | 1148 | " layer = NearlyFullyNativeModel(10)\n",
|
1149 | 1149 | "\n",
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1150 | 1150 | " inputs = tf.random.normal(shape=(10, 5, 5, 5))\n",
|
|
1218 | 1218 | "source": [
|
1219 | 1219 | "random_tool = v1.keras.utils.DeterministicRandomTestTool(mode='num_random_ops')\n",
|
1220 | 1220 | "with random_tool.scope():\n",
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1221 |
| - " tf.keras.utils.set_random_seed(42)\n", |
| 1221 | + " tf.keras.utils.set_random_seed(42)\n", |
1222 | 1222 | " layer = FullyNativeModel(10)\n",
|
1223 | 1223 | "\n",
|
1224 | 1224 | " inputs = tf.random.normal(shape=(10, 5, 5, 5))\n",
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