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Commit 79606193 authored by chenpangpang's avatar chenpangpang
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feat: 增加dcu-tesorflow镜像检测脚本

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{
"cells": [
{
"cell_type": "markdown",
"id": "1480baa1-193b-4d32-8458-480cb2864ba0",
"metadata": {},
"source": [
"# DCU镜像检测-tensorflow\n",
"此脚本为tensorflow的DCU镜像通用检查脚本，更多项目和issue信息请参考[链接](https://developer.sourcefind.cn/codes/chenpangpang/gpu-base-image-test)。\n",
"## 一、智能计算-线上检测\n",
"此部分是根据[智能计算文档](https://r0ddbu55vzx.feishu.cn/wiki/RvepwMCayi9dY4ktMquc3oiPnVl)中的*线上检测*来进行镜像检查，预期结果:\n",
"1. `layer_check_tf.__dcu_version__`：dtk版本与镜像名称中的dtk版本一致；\n",
"2. `tf.test.is_gpu_available()`：结果为`True`。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "55fd2be3-3d58-45b2-ae4d-01d02d0cfb20",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['/opt/conda/lib/python38.zip', '/opt/conda/lib/python3.8', '/opt/conda/lib/python3.8/lib-dynload', '', '/opt/conda/lib/python3.8/site-packages']\n",
"1.2.0 \n",
" 1.2.0+das.dtk24041\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 14:21:00.451531: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /tmp/ipykernel_5101/616564938.py:6: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.config.list_physical_devices('GPU')` instead.\n",
"True\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 14:21:02.635306: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /device:GPU:0 with 63225 MB memory: -> device: 0, name: DCU K100_AI, pci bus id: 0000:16:00.0\n"
]
}
],
"source": [
"import sys\n",
"print(sys.path)\n",
"import layer_check_tf\n",
"print(layer_check_tf.__version__,'\\n',layer_check_tf.__dcu_version__)\n",
"import tensorflow as tf\n",
"print(tf.test.is_gpu_available())"
]
},
{
"cell_type": "markdown",
"id": "06b640a9-ac50-4c73-94fe-07a2789a59f3",
"metadata": {},
"source": [
"## 二、曙光智算-通用镜像检测\n",
"此部分是根据曙光智能开发的通用镜像检测方法来进行镜像检查，共分为版本检查、文本模型检查、图像模型检查三个部分。\n",
"### 2.1 版本检查\n",
"预期结果：\n",
"1. 系统版本和镜像名称中的操作系统一致；\n",
"2. python版本和镜像名称中的python版本一致；\n",
"3. tensorflow和镜像名称中的tensorflow版本一致。"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "642d011c-eb3f-4aea-9fff-cb75b2558913",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ubuntu 22.04.5 LTS \\n \\l\n",
"\n",
"python version: 3.8.20 (default, Oct 3 2024, 15:24:27) \n",
"[GCC 11.2.0]\n",
"tensorflow version: 2.13.1\n",
"tensorflow cuda available: True\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 14:46:31.245907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /device:GPU:0 with 63225 MB memory: -> device: 0, name: DCU K100_AI, pci bus id: 0000:16:00.0\n",
"sh: line 1: nvcc: command not found\n"
]
},
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"os.system(\"cat /etc/issue\")\n",
"import sys\n",
"print(\"python version: \", sys.version)\n",
"import tensorflow as tf\n",
"print(\"tensorflow version: \", tf.__version__)"
]
},
{
"cell_type": "markdown",
"id": "3a987641-f8a1-4b4c-b393-a510f35e3710",
"metadata": {},
"source": [
"### 2.2 文本模型检查\n",
"预期结果：\n",
"1. 程序正常运行；\n",
"2. 输出tenosr不全为0。"
]
},
{
"cell_type": "markdown",
"id": "1d8ba587-f615-45f3-98ce-90879b6183aa",
"metadata": {},
"source": [
"步骤一 安装相关依赖库"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "fb44e957-de9b-4b54-a736-d46fe3ce1634",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
"Requirement already satisfied: tensorflow-hub in /opt/conda/lib/python3.8/site-packages (0.16.1)\n",
"Collecting tensorflow-text\n",
" Downloading https://pypi.tuna.tsinghua.edu.cn/packages/70/f3/a2e79de3c1255313f722c071602bc36b4ac52a1199d3b82dc0d641c2f9b3/tensorflow_text-2.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.5/6.5 MB\u001b[0m \u001b[31m14.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy>=1.12.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow-hub) (1.24.3)\n",
"Requirement already satisfied: protobuf>=3.19.6 in /opt/conda/lib/python3.8/site-packages (from tensorflow-hub) (4.25.5)\n",
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"Requirement already satisfied: tensorflow<2.14,>=2.13.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow-text) (2.13.1+das.opt1.dtk24042)\n",
"Requirement already satisfied: absl-py>=1.0.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow<2.14,>=2.13.0->tensorflow-text) (2.1.0)\n",
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"Requirement already satisfied: google-pasta>=0.1.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow<2.14,>=2.13.0->tensorflow-text) (0.2.0)\n",
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"Collecting typing-extensions<4.6.0,>=3.6.6 (from tensorflow<2.14,>=2.13.0->tensorflow-text)\n",
" Downloading https://pypi.tuna.tsinghua.edu.cn/packages/31/25/5abcd82372d3d4a3932e1fa8c3dbf9efac10cc7c0d16e78467460571b404/typing_extensions-4.5.0-py3-none-any.whl (27 kB)\n",
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"Requirement already satisfied: tensorboard<2.14,>=2.13 in /opt/conda/lib/python3.8/site-packages (from tensorflow<2.14,>=2.13.0->tensorflow-text) (2.13.0)\n",
"Requirement already satisfied: tensorflow-estimator<2.14,>=2.13.0 in /opt/conda/lib/python3.8/site-packages (from tensorflow<2.14,>=2.13.0->tensorflow-text) (2.13.0)\n",
"Requirement already satisfied: keras<2.14,>=2.13.1 in /opt/conda/lib/python3.8/site-packages (from tensorflow<2.14,>=2.13.0->tensorflow-text) (2.13.1)\n",
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"Requirement already satisfied: wheel<1.0,>=0.23.0 in /opt/conda/lib/python3.8/site-packages (from astunparse>=1.6.0->tensorflow<2.14,>=2.13.0->tensorflow-text) (0.37.1)\n",
"Requirement already satisfied: google-auth<3,>=1.6.3 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2.35.0)\n",
"Requirement already satisfied: google-auth-oauthlib<1.1,>=0.5 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (1.0.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.7)\n",
"Requirement already satisfied: requests<3,>=2.21.0 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2.32.3)\n",
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"Requirement already satisfied: werkzeug>=1.0.1 in /opt/conda/lib/python3.8/site-packages (from tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.0.4)\n",
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"Requirement already satisfied: rsa<5,>=3.1.4 in /opt/conda/lib/python3.8/site-packages (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (4.9)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /opt/conda/lib/python3.8/site-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2.0.0)\n",
"Requirement already satisfied: importlib-metadata>=4.4 in /opt/conda/lib/python3.8/site-packages (from markdown>=2.6.8->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (8.5.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2.2.3)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.8/site-packages (from requests<3,>=2.21.0->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2024.8.30)\n",
"Requirement already satisfied: MarkupSafe>=2.1.1 in /opt/conda/lib/python3.8/site-packages (from werkzeug>=1.0.1->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (2.1.5)\n",
"Requirement already satisfied: zipp>=3.20 in /opt/conda/lib/python3.8/site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.20.2)\n",
"Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /opt/conda/lib/python3.8/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (0.6.1)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /opt/conda/lib/python3.8/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow<2.14,>=2.13.0->tensorflow-text) (3.2.2)\n",
"Installing collected packages: typing-extensions, tensorflow-text\n",
" Attempting uninstall: typing-extensions\n",
" Found existing installation: typing_extensions 4.6.0\n",
" Uninstalling typing_extensions-4.6.0:\n",
" Successfully uninstalled typing_extensions-4.6.0\n",
"Successfully installed tensorflow-text-2.13.0 typing-extensions-4.5.0\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable.It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
"\u001b[0m"
]
}
],
"source": [
"!pip install tensorflow-hub tensorflow-text"
]
},
{
"cell_type": "markdown",
"id": "f6e66aa5-902d-43da-b258-7174462f6b04",
"metadata": {},
"source": [
"步骤二 运行程序"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "e85a3b8b-7103-4308-91ac-4e9417c58db9",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 14:24:50.568152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 63225 MB memory: -> device: 0, name: DCU K100_AI, pci bus id: 0000:16:00.0\n",
"2024-10-12 14:24:51.532740: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.060138: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.073139: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.081631: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.083330: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.095114: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.095851: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:24:53.111755: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.792283: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.794921: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.796453: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.797443: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.799239: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.800131: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.801076: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.802493: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.803379: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.804269: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.833876: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:45.835112: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:46.879646: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.142667: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.720696: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.721894: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.722876: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.723797: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.743944: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:47.745148: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.459410: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.461444: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.462579: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.464765: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.468979: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.474551: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.475852: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.479175: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:48.549247: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:49.036286: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:49.151861: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 14:25:49.642933: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"tf.Tensor(\n",
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" -9.77467537e-01 -2.70980477e-01 3.86985451e-01 4.09851670e-01\n",
" -4.88349944e-01 -5.71954727e-01 5.28122962e-01 -5.58347255e-02\n",
" 9.09353554e-01 8.76048863e-01 -3.21841799e-02 2.95268565e-01\n",
" 6.29843771e-01 -2.49958694e-01 -7.40591824e-01 9.05128181e-01]], shape=(1, 768), dtype=float32)\n"
]
}
],
"source": [
"import os\n",
"os.environ['TF_USE_LEGACY_KERAS'] = '1'\n",
"import tensorflow as tf\n",
"import tensorflow_hub as hub\n",
"import tensorflow_text as text\n",
"text_input = tf.keras.layers.Input(shape=(), dtype=tf.string)\n",
"preprocessor = hub.KerasLayer(\n",
" \"https://kaggle.com/models/tensorflow/bert/TensorFlow2/en-uncased-preprocess/3\")\n",
"encoder_inputs = preprocessor(text_input)\n",
"encoder = hub.KerasLayer(\n",
" \"https://kaggle.com/models/tensorflow/bert/TensorFlow2/en-uncased-l-12-h-768-a-12/3\",\n",
" trainable=True)\n",
"outputs = encoder(encoder_inputs)\n",
"pooled_output = outputs[\"pooled_output\"] # [batch_size, 768].\n",
"sequence_output = outputs[\"sequence_output\"] # [batch_size, seq_length, 768].\n",
"embedding_model = tf.keras.Model(text_input, pooled_output)\n",
"sentences = tf.constant([\"(your text here)\"])\n",
"print(embedding_model(sentences))\n"
]
},
{
"cell_type": "markdown",
"id": "73363774-85b0-4cdf-b0a7-8bb937061577",
"metadata": {},
"source": [
"### 2.3 图像模型检查\n",
"预期结果：\n",
"1. 程序正常运行；\n",
"2. accuracy达到0.9以上。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "38395dd8-b4b9-4a68-813c-e24344771af9",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 15:25:24.283485: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"2024-10-12 15:25:26.781495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 63225 MB memory: -> device: 0, name: DCU K100_AI, pci bus id: 0000:16:00.0\n",
"2024-10-12 15:25:27.613083: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.020912: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.022034: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.031351: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.032331: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.037432: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.050056: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.052597: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.053980: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.055220: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.056439: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.057287: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.059033: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.061178: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.061945: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.071138: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.071948: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.073080: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.073806: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.078874: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.079613: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.774022: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.777030: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.818869: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.827270: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.828499: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.835784: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.837421: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/5\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 15:25:29.975935: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.978086: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.986188: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.987431: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.988496: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.989635: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.990639: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:29.991438: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.004742: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.006526: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.007302: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.047402: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.054007: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.058284: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:30.405201: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:38.306620: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7eebf3408580 initialized for platform ROCM (this does not guarantee that XLA will be used). Devices:\n",
"2024-10-12 15:25:38.306664: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): DCU K100_AI, DCU ISA version: gfx928:sramecc+:xnack-\n",
"2024-10-12 15:25:38.313714: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n",
"2024-10-12 15:25:39.208733: I ./tensorflow/compiler/jit/device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1875/1875 [==============================] - 14s 2ms/step - loss: 0.2920 - accuracy: 0.9159\n",
"Epoch 2/5\n",
" 77/1875 [>.............................] - ETA: 3s - loss: 0.1604 - accuracy: 0.9541"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-10-12 15:25:44.507681: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:44.510552: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:44.511623: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n",
"2024-10-12 15:25:44.515506: I tensorflow/core/common_runtime/gpu_fusion_pass.cc:508] ROCm Fusion is enabled.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1875/1875 [==============================] - 4s 2ms/step - loss: 0.1407 - accuracy: 0.9585\n",
"Epoch 3/5\n",
"1875/1875 [==============================] - 4s 2ms/step - loss: 0.1064 - accuracy: 0.9678\n",
"Epoch 4/5\n",
"1875/1875 [==============================] - 4s 2ms/step - loss: 0.0857 - accuracy: 0.9742\n",
"Epoch 5/5\n",
"1875/1875 [==============================] - 4s 2ms/step - loss: 0.0734 - accuracy: 0.9771\n"
]
},
{
"data": {
"text/plain": [
"<keras.src.callbacks.History at 0x7f0c246fd100>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import tensorflow as tf\n",
"mnist = tf.keras.datasets.mnist\n",
"\n",
"(x_train, y_train),(x_test, y_test) = mnist.load_data()\n",
"x_train, x_test = x_train / 255.0, x_test / 255.0\n",
"\n",
"model = tf.keras.models.Sequential([\n",
" tf.keras.layers.Flatten(input_shape=(28, 28)),\n",
" tf.keras.layers.Dense(128, activation='relu'),\n",
" tf.keras.layers.Dropout(0.2),\n",
" tf.keras.layers.Dense(10, activation='softmax')\n",
"])\n",
"\n",
"model.compile(optimizer='adam',\n",
" loss='sparse_categorical_crossentropy',\n",
" metrics=['accuracy'])\n",
"\n",
"model.fit(x_train, y_train, epochs=5)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9223831e-ee21-47c0-a7ef-220a02763d30",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.20"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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