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Update to new version of Keras
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‎source-code/keras/mnist_ensemble.ipynb

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},
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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"text": [
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"Using TensorFlow backend.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from collections import Counter\n",
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"import keras\n",
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"from tensorflow import keras\n",
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"from keras.datasets import mnist\n",
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"from keras.layers import Dense, Dropout\n",
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"from keras.models import load_model, Sequential\n",
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"from keras.optimizers import SGD\n",
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"from keras.utils import np_utils\n",
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"from keras.utils import to_categorical\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline\n",
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"import numpy as np\n",
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" x_test = x_test.reshape(10000, 784)\n",
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" x_train = x_train.astype(np.float32)/255.0\n",
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" x_test = x_test.astype(np.float32)/255.0\n",
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" y_train = np_utils.to_categorical(y_train)\n",
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" y_test = np_utils.to_categorical(y_test)\n",
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" y_train = to_categorical(y_train)\n",
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" y_test = to_categorical(y_test)\n",
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" return x_train, y_train, x_test, y_test"
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]
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"model 1\n",
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"model 1\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-03-20 09:54:27.891996: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:28.321918: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:28.321969: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:28.326420: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:28.326464: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:28.326487: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:35.782651: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:35.783569: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:35.783589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2022] Could not identify NUMA node of platform GPU id 0, defaulting to 0. Your kernel may not have been built with NUMA support.\n",
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"2024-03-20 09:54:35.783689: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:887] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
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"Your kernel may have been built without NUMA support.\n",
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"2024-03-20 09:54:35.784579: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3421 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6\n",
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"2024-03-20 09:55:35.800249: I external/local_xla/xla/service/service.cc:168] XLA service 0x7f56bc0020b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n",
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"2024-03-20 09:55:35.800419: I external/local_xla/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 3060 Laptop GPU, Compute Capability 8.6\n",
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"2024-03-20 09:55:37.662907: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:454] Loaded cuDNN version 8907\n",
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"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
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"I0000 00:00:1710924937.828903 11615 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n"
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]
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},
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"name": "stdout",
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"text": [
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"model 3\n"
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"text/plain": [
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"[0.9514, 0.9506, 0.9488]"
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"[0.9503999948501587, 0.9484999775886536, 0.9495999813079834]"
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"313/313 [==============================] - 1s 2ms/step\n",
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"313/313 [==============================] - 0s 1ms/step\n"
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],
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"source": [
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"y_infer = np.empty((len(models), len(y_test)), dtype=np.int64)\n",
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"for i, model in enumerate(models):\n",
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" y_infer[i, :] = model.predict_classes(x_test)"
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" prediction = model.predict(x_test)\n",
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" y_infer[i, :] = np.argmax(prediction, axis=1)"
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"[0.09286915022358298, 0.9707]"
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"name": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.6"
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"version": "3.11.8"
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"nbformat": 4,
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"nbformat_minor": 4
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