{ "id": "conv_20250929_195301_100", "title": "我的电脑一直安装不上tenserflow，帮我解决一下", "created_at": "2025-09-29T19:53:01.100409", "updated_at": "2025-09-29T20:11:56.539738", "messages": [ { "role": "user", "content": "我的电脑一直安装不上tenserflow，帮我解决一下", "timestamp": "2025-09-29T19:53:12.694327" }, { "role": "assistant", "content": "我来帮你解决TensorFlow安装问题。让我先检查一下你的Python环境和当前的安装情况。", "timestamp": "2025-09-29T19:53:16.969796" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:53:16.976308", "tool_calls": [ { "id": "run_command:0", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python --version && pip --version\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Python 3.9.6\\n\\n[错误输出]\\n/bin/sh: pip: command not found\\n\", \"stdout\": \"Python 3.9.6\\n\", \"stderr\": \"/bin/sh: pip: command not found\\n\", \"return_code\": 127, \"command\": \"python3 --version && pip --version\"}", "timestamp": "2025-09-29T19:53:18.787193", "tool_call_id": "run_command:0", "name": "run_command" }, { "role": "assistant", "content": "看起来你的系统没有安装pip。让我先安装pip，然后再尝试安装TensorFlow。", "timestamp": "2025-09-29T19:53:23.736901" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:53:23.740164", "tool_calls": [ { "id": "run_command:1", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python get-pip.py\"}" } } ] }, { "role": "user", "content": "我的电脑只能用python3", "timestamp": "2025-09-29T19:53:36.739391" }, { "role": "assistant", "content": "明白了，你的系统需要使用python3命令。让我重新检查环境并使用python3来安装pip和TensorFlow。", "timestamp": "2025-09-29T19:53:41.545736" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:53:41.549427", "tool_calls": [ { "id": "run_command:2", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 --version && python3 -m pip --version\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Python 3.9.6\\npip 24.3.1 from /Users/jojo/Library/Python/3.9/lib/python/site-packages/pip (python 3.9)\\n\", \"stdout\": \"Python 3.9.6\\npip 24.3.1 from /Users/jojo/Library/Python/3.9/lib/python/site-packages/pip (python 3.9)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 --version && python3 -m pip --version\"}", "timestamp": "2025-09-29T19:53:43.361717", "tool_call_id": "run_command:2", "name": "run_command" }, { "role": "assistant", "content": "很好！现在我看到你的系统已经有pip了，但是需要通过`python3 -m pip`来使用。让我尝试安装TensorFlow：", "timestamp": "2025-09-29T19:53:48.044011" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:53:48.048770", "tool_calls": [ { "id": "run_command:3", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T19:54:18.385543", "tool_call_id": "run_command:3", "name": "run_command" }, { "role": "assistant", "content": "安装超时了，这通常是因为网络问题或者依赖包下载太慢。让我尝试几个解决方案：\n\n1. 首先尝试使用国内镜像源加速下载：", "timestamp": "2025-09-29T19:54:24.781771" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:54:24.784000", "tool_calls": [ { "id": "run_command:4", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow -i https://pypi.tuna.tsinghua.edu.cn/simple\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nLooking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\\nCould not fetch URL https://pypi.tuna.tsinghua.edu.cn/simple/tensorflow/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simple/tensorflow/ (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))) - skipping\\n\\n[错误输出]\\nWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)\\nERROR: No matching distribution found for tensorflow\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nLooking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\\nCould not fetch URL https://pypi.tuna.tsinghua.edu.cn/simple/tensorflow/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simple/tensorflow/ (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))) - skipping\\n\", \"stderr\": \"WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)\\nERROR: No matching distribution found for tensorflow\\n\", \"return_code\": 1, \"command\": \"python3 -m pip install tensorflow -i https://pypi.tuna.tsinghua.edu.cn/simple\"}", "timestamp": "2025-09-29T19:54:35.279403", "tool_call_id": "run_command:4", "name": "run_command" }, { "role": "user", "content": "请继续", "timestamp": "2025-09-29T19:55:57.568382" }, { "role": "assistant", "content": "看起来网络连接有问题，SSL证书验证失败。让我尝试几个其他的解决方案：\n\n2. 尝试使用阿里云镜像源：", "timestamp": "2025-09-29T19:56:03.805199" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:56:03.813025", "tool_calls": [ { "id": "run_command:5", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T19:56:34.149359", "tool_call_id": "run_command:5", "name": "run_command" }, { "role": "assistant", "content": "3. 让我先检查你的系统架构和Python版本，看看是否有兼容的TensorFlow版本：", "timestamp": "2025-09-29T19:56:40.039704" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:56:40.045808", "tool_calls": [ { "id": "run_command:6", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"uname -a && python3 -c \\\"import platform; print(f'Platform: {platform.platform()}'); print(f'Machine: {platform.machine()}'); print(f'Processor: {platform.processor()}')\\\"\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Darwin MateBook-X-Air.local 24.6.0 Darwin Kernel Version 24.6.0: Mon Jul 14 11:30:51 PDT 2025; root:xnu-11417.140.69~1/RELEASE_ARM64_T8112 arm64\\nPlatform: macOS-15.6.1-arm64-arm-64bit\\nMachine: arm64\\nProcessor: arm\\n\", \"stdout\": \"Darwin MateBook-X-Air.local 24.6.0 Darwin Kernel Version 24.6.0: Mon Jul 14 11:30:51 PDT 2025; root:xnu-11417.140.69~1/RELEASE_ARM64_T8112 arm64\\nPlatform: macOS-15.6.1-arm64-arm-64bit\\nMachine: arm64\\nProcessor: arm\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"uname -a && python3 -c \\\"import platform; print(f'Platform: {platform.platform()}'); print(f'Machine: {platform.machine()}'); print(f'Processor: {platform.processor()}')\\\"\"}", "timestamp": "2025-09-29T19:56:41.855783", "tool_call_id": "run_command:6", "name": "run_command" }, { "role": "assistant", "content": "看起来有SSL证书问题。让我尝试其他方法：\n\n2. 先检查你的系统架构和Python版本，看看是否有兼容的TensorFlow版本：", "timestamp": "2025-09-29T19:56:44.440384" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:56:44.447444", "tool_calls": [ { "id": "run_command:5", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -c \\\"import platform; print('系统:', platform.system()); print('架构:', platform.machine()); print('Python版本:', platform.python_version())\\\"\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"系统: Darwin\\n架构: arm64\\nPython版本: 3.9.6\\n\", \"stdout\": \"系统: Darwin\\n架构: arm64\\nPython版本: 3.9.6\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -c \\\"import platform; print('系统:', platform.system()); print('架构:', platform.machine()); print('Python版本:', platform.python_version())\\\"\"}", "timestamp": "2025-09-29T19:56:46.259205", "tool_call_id": "run_command:5", "name": "run_command" }, { "role": "assistant", "content": "好的！我看到你使用的是搭载Apple Silicon (ARM64) 的MacBook。对于M1/M2/M3芯片的Mac，TensorFlow需要特殊版本。让我尝试安装适用于Apple Silicon的TensorFlow：", "timestamp": "2025-09-29T19:56:47.136884" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:56:47.143561", "tool_calls": [ { "id": "run_command:7", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-macos\"}" } } ] }, { "role": "assistant", "content": "很好！你的系统是macOS ARM64架构，Python 3.9.6。这个配置是支持TensorFlow的。让我尝试几个解决方案：\n\n3. 尝试使用其他镜像源：", "timestamp": "2025-09-29T19:56:52.101525" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:56:52.105933", "tool_calls": [ { "id": "run_command:6", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T19:57:17.488521", "tool_call_id": "run_command:7", "name": "run_command" }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T19:57:22.438384", "tool_call_id": "run_command:6", "name": "run_command" }, { "role": "assistant", "content": "4. 尝试安装CPU版本的TensorFlow（更小，更快）：", "timestamp": "2025-09-29T19:57:27.525365" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:57:27.532509", "tool_calls": [ { "id": "run_command:7", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-cpu\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\n\\n[错误输出]\\nERROR: Could not find a version that satisfies the requirement tensorflow-cpu (from versions: none)\\nERROR: No matching distribution found for tensorflow-cpu\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\n\", \"stderr\": \"ERROR: Could not find a version that satisfies the requirement tensorflow-cpu (from versions: none)\\nERROR: No matching distribution found for tensorflow-cpu\\n\", \"return_code\": 1, \"command\": \"python3 -m pip install tensorflow-cpu\"}", "timestamp": "2025-09-29T19:57:32.494642", "tool_call_id": "run_command:7", "name": "run_command" }, { "role": "assistant", "content": "5. 让我尝试一个更稳定的方法 - 先升级pip，然后指定一个较新的TensorFlow版本：", "timestamp": "2025-09-29T19:57:37.751242" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:57:37.757375", "tool_calls": [ { "id": "run_command:8", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install --upgrade pip\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: pip in /Users/jojo/Library/Python/3.9/lib/python/site-packages (25.2)\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: pip in /Users/jojo/Library/Python/3.9/lib/python/site-packages (25.2)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install --upgrade pip\"}", "timestamp": "2025-09-29T19:57:39.820389", "tool_call_id": "run_command:8", "name": "run_command" }, { "role": "assistant", "content": "现在让我尝试安装一个特定版本的TensorFlow，适合你的系统：", "timestamp": "2025-09-29T19:57:44.358638" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:57:44.361201", "tool_calls": [ { "id": "run_command:9", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow==2.15.0 --timeout 60\"}" } } ] }, { "role": "assistant", "content": "网络问题似乎比较严重。让我尝试一个更稳定的方案 - 先下载wheel文件再本地安装：\n\n4. 让我创建一个简单的安装脚本来解决这个问题：", "timestamp": "2025-09-29T19:57:55.555718" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:57:55.558799", "tool_calls": [ { "id": "create_file:8", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"install_tensorflow.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow安装助手 - 针对Apple Silicon Mac优化\\n\\\"\\\"\\\"\\nimport subprocess\\nimport sys\\nimport platform\\nimport os\\n\\ndef run_command(cmd):\\n \\\"\\\"\\\"运行命令并返回结果\\\"\\\"\\\"\\n try:\\n result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=120)\\n return result.returncode == 0, result.stdout, result.stderr\\n except subprocess.TimeoutExpired:\\n return False, \\\"\\\", \\\"命令超时\\\"\\n\\ndef install_tensorflow():\\n \\\"\\\"\\\"安装TensorFlow\\\"\\\"\\\"\\n print(\\\"🤖 TensorFlow安装助手\\\")\\n print(\\\"=\\\" * 50)\\n \\n # 检查Python版本\\n print(f\\\"Python版本: {sys.version}\\\")\\n print(f\\\"平台: {platform.platform()}\\\")\\n print(f\\\"处理器: {platform.processor()}\\\")\\n \\n # 升级pip\\n print(\\\"\\\\n📦 正在升级pip...\\\")\\n success, stdout, stderr = run_command(f\\\"{sys.executable} -m pip install --upgrade pip\\\")\\n if success:\\n print(\\\"✅ pip升级成功\\\")\\n else:\\n print(f\\\"⚠️ pip升级失败: {stderr}\\\")\\n \\n # 对于Apple Silicon Mac，尝试安装tensorflow-macos\\n if platform.machine() == \\\"arm64\\\" and \\\"Darwin\\\" in platform.platform():\\n print(\\\"\\\\n🍎 检测到Apple Silicon Mac，安装tensorflow-macos...\\\")\\n \\n # 安装tensorflow-macos\\n print(\\\"正在安装tensorflow-macos...\\\")\\n success, stdout, stderr = run_command(f\\\"{sys.executable} -m pip install tensorflow-macos\\\")\\n \\n if success:\\n print(\\\"✅ tensorflow-macos安装成功\\\")\\n \\n # 安装metal插件（用于GPU加速）\\n print(\\\"\\\\n🔥 安装Metal插件以启用GPU加速...\\\")\\n success, stdout, stderr = run_command(f\\\"{sys.executable} -m pip install tensorflow-metal\\\")\\n if success:\\n print(\\\"✅ tensorflow-metal安装成功\\\")\\n else:\\n print(f\\\"⚠️ tensorflow-metal安装失败: {stderr}\\\")\\n else:\\n print(f\\\"❌ tensorflow-macos安装失败: {stderr}\\\")\\n return False\\n else:\\n # 对于其他平台，安装标准TensorFlow\\n print(\\\"\\\\n💻 安装标准TensorFlow...\\\")\\n success, stdout, stderr = run_command(f\\\"{sys.executable} -m pip install tensorflow\\\")\\n if success:\\n print(\\\"✅ TensorFlow安装成功\\\")\\n else:\\n print(f\\\"❌ TensorFlow安装失败: {stderr}\\\")\\n return False\\n \\n # 验证安装\\n print(\\\"\\\\n🔍 验证TensorFlow安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ GPU可用: {tf.config.list_physical_devices('GPU')}\\\")\\n print(\\\"🎉 TensorFlow安装完成并正常工作！\\\")\\n return True\\n except ImportError as e:\\n print(f\\\"❌ TensorFlow导入失败: {e}\\\")\\n return False\\n\\nif __name__ == \\\"__main__\\\":\\n install_tensorflow()\", \"annotation\": \"TensorFlow安装助手脚本，针对Apple Silicon Mac优化\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"install_tensorflow.py\", \"size\": 2494}", "timestamp": "2025-09-29T19:57:57.383383", "tool_call_id": "create_file:8", "name": "create_file" }, { "role": "assistant", "content": "现在让我运行这个安装脚本：", "timestamp": "2025-09-29T19:58:03.056508" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:58:03.062566", "tool_calls": [ { "id": "run_python:9", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('install_tensorflow.py').read())\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T19:58:14.699274", "tool_call_id": "run_command:9", "name": "run_command" }, { "role": "assistant", "content": "看起来网络连接有问题。让我尝试一个不同的方法 - 使用conda（如果你安装了的话）：", "timestamp": "2025-09-29T19:58:20.036892" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:58:20.042472", "tool_calls": [ { "id": "run_command:10", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"which conda\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\", \"stdout\": \"\", \"stderr\": \"\", \"return_code\": 1, \"command\": \"which conda\"}", "timestamp": "2025-09-29T19:58:21.856090", "tool_call_id": "run_command:10", "name": "run_command" }, { "role": "assistant", "content": "没有conda。让我给你几个解决方案：\n\n## 解决方案：\n\n### 1. 离线安装（推荐）\n由于网络问题，我建议你下载TensorFlow的wheel文件然后本地安装：\n\n**步骤：**\n1. 打开浏览器访问：https://pypi.org/project/tensorflow/#files\n2. 下载适合你系统的版本（macOS ARM64，Python 3.9）：\n - 文件名类似：`tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl`\n3. 下载后，在该目录下运行：\n ```bash\n python3 -m pip install tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\n ```\n\n### 2. 使用代理\n如果你有VPN或代理，先设置代理再安装：\n```bash\nexport HTTPS_PROXY=http://your-proxy:port\npython3 -m pip install tensorflow\n```\n\n### 3. 检查网络连接\n让我检查你的网络连接情况：", "timestamp": "2025-09-29T19:58:35.091385" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:58:35.097477", "tool_calls": [ { "id": "run_command:11", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"ping -c 3 pypi.org\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"PING pypi.org (151.101.128.223): 56 data bytes\\n64 bytes from 151.101.128.223: icmp_seq=0 ttl=53 time=93.227 ms\\n64 bytes from 151.101.128.223: icmp_seq=1 ttl=53 time=89.971 ms\\n64 bytes from 151.101.128.223: icmp_seq=2 ttl=53 time=86.518 ms\\n\\n--- pypi.org ping statistics ---\\n3 packets transmitted, 3 packets received, 0.0% packet loss\\nround-trip min/avg/max/stddev = 86.518/89.905/93.227/2.739 ms\\n\", \"stdout\": \"PING pypi.org (151.101.128.223): 56 data bytes\\n64 bytes from 151.101.128.223: icmp_seq=0 ttl=53 time=93.227 ms\\n64 bytes from 151.101.128.223: icmp_seq=1 ttl=53 time=89.971 ms\\n64 bytes from 151.101.128.223: icmp_seq=2 ttl=53 time=86.518 ms\\n\\n--- pypi.org ping statistics ---\\n3 packets transmitted, 3 packets received, 0.0% packet loss\\nround-trip min/avg/max/stddev = 86.518/89.905/93.227/2.739 ms\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"ping -c 3 pypi.org\"}", "timestamp": "2025-09-29T19:58:37.536302", "tool_call_id": "run_command:11", "name": "run_command" }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (60秒)\", \"output\": \"\", \"return_code\": -1, \"code\": \"exec(open('install_tensorflow.py').read())\"}", "timestamp": "2025-09-29T19:59:03.383846", "tool_call_id": "run_python:9", "name": "run_python" }, { "role": "assistant", "content": "看起来网络问题确实比较严重。让我尝试一个离线安装方案：\n\n5. 先检查是否有本地缓存或者尝试其他方法：", "timestamp": "2025-09-29T19:59:08.669005" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:08.674266", "tool_calls": [ { "id": "run_command:10", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip cache list | head -10\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"No locally built wheels cached.\\n\", \"stdout\": \"No locally built wheels cached.\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip cache list | head -10\"}", "timestamp": "2025-09-29T19:59:10.484239", "tool_call_id": "run_command:10", "name": "run_command" }, { "role": "assistant", "content": "6. 让我尝试使用conda（如果可用）或者创建一个requirements文件来安装：", "timestamp": "2025-09-29T19:59:16.191019" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:16.198119", "tool_calls": [ { "id": "create_file:11", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"requirements.txt\", \"file_type\": \"txt\", \"content\": \"tensorflow-macos==2.15.0\\ntensorflow-metal==1.1.0\", \"annotation\": \"TensorFlow Apple Silicon版本requirements文件\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"requirements.txt\", \"size\": 48}", "timestamp": "2025-09-29T19:59:18.025888", "tool_call_id": "create_file:11", "name": "create_file" }, { "role": "assistant", "content": "网络连接是正常的。让我创建一个简单的安装脚本来帮你：", "timestamp": "2025-09-29T19:59:22.674643" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:22.681405", "tool_calls": [ { "id": "create_file:12", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"install_tensorflow.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow安装助手\\n这个脚本会尝试多种方法安装TensorFlow\\n\\\"\\\"\\\"\\n\\nimport subprocess\\nimport sys\\nimport os\\n\\ndef run_command(cmd):\\n \\\"\\\"\\\"运行命令并返回结果\\\"\\\"\\\"\\n try:\\n result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=120)\\n return result.returncode == 0, result.stdout, result.stderr\\n except subprocess.TimeoutExpired:\\n return False, \\\"\\\", \\\"命令超时\\\"\\n\\ndef install_tensorflow():\\n \\\"\\\"\\\"尝试安装TensorFlow\\\"\\\"\\\"\\n print(\\\"🔄 开始安装TensorFlow...\\\")\\n \\n # 方法1: 直接安装（适合网络好的情况）\\n print(\\\"\\\\n📋 方法1: 直接安装TensorFlow...\\\")\\n success, stdout, stderr = run_command(\\\"python3 -m pip install tensorflow --timeout 60\\\")\\n if success:\\n print(\\\"✅ TensorFlow安装成功！\\\")\\n return True\\n else:\\n print(f\\\"❌ 直接安装失败: {stderr}\\\")\\n \\n # 方法2: 使用阿里云镜像\\n print(\\\"\\\\n📋 方法2: 使用阿里云镜像...\\\")\\n success, stdout, stderr = run_command(\\\"python3 -m pip install tensorflow -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com\\\")\\n if success:\\n print(\\\"✅ TensorFlow安装成功！\\\")\\n return True\\n else:\\n print(f\\\"❌ 阿里云镜像失败: {stderr}\\\")\\n \\n # 方法3: 安装CPU版本（更小）\\n print(\\\"\\\\n📋 方法3: 安装TensorFlow CPU版本...\\\")\\n success, stdout, stderr = run_command(\\\"python3 -m pip install tensorflow-cpu\\\")\\n if success:\\n print(\\\"✅ TensorFlow CPU版本安装成功！\\\")\\n return True\\n else:\\n print(f\\\"❌ CPU版本安装失败: {stderr}\\\")\\n \\n return False\\n\\ndef verify_installation():\\n \\\"\\\"\\\"验证TensorFlow是否安装成功\\\"\\\"\\\"\\n print(\\\"\\\\n🔍 验证TensorFlow安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ TensorFlow路径: {tf.__file__}\\\")\\n \\n # 测试基本功能\\n print(\\\"\\\\n🧪 测试TensorFlow功能...\\\")\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"✅ 基本计算测试通过: {a} + {b} = {c}\\\")\\n \\n return True\\n except ImportError as e:\\n print(f\\\"❌ TensorFlow导入失败: {e}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ TensorFlow测试失败: {e}\\\")\\n return False\\n\\ndef main():\\n \\\"\\\"\\\"主函数\\\"\\\"\\\"\\n print(\\\"🚀 TensorFlow安装助手\\\")\\n print(\\\"=\\\" * 40)\\n \\n # 检查Python版本\\n print(f\\\"📊 Python版本: {sys.version}\\\")\\n if sys.version_info < (3, 7):\\n print(\\\"❌ Python版本过低，需要3.7或更高版本\\\")\\n return\\n \\n # 尝试安装\\n if install_tensorflow():\\n # 验证安装\\n if verify_installation():\\n print(\\\"\\\\n🎉 TensorFlow安装和验证成功！\\\")\\n else:\\n print(\\\"\\\\n⚠️ TensorFlow安装成功但验证失败，可能需要重启Python环境\\\")\\n else:\\n print(\\\"\\\\n❌ TensorFlow安装失败\\\")\\n print(\\\"\\\\n💡 建议:\\\")\\n print(\\\"1. 检查网络连接\\\")\\n print(\\\"2. 尝试使用VPN或代理\\\")\\n print(\\\"3. 手动下载wheel文件安装\\\")\\n print(\\\"4. 考虑使用conda环境\\\")\\n print(\\\"\\\\n📋 手动安装命令:\\\")\\n print(\\\"python3 -m pip install tensorflow-xxx.whl\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n main()\", \"annotation\": \"TensorFlow安装助手脚本\"}" } } ] }, { "role": "assistant", "content": "7. 让我尝试分步骤安装，先安装一些基础依赖：", "timestamp": "2025-09-29T19:59:23.172620" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:23.180112", "tool_calls": [ { "id": "run_command:12", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install numpy wheel setuptools\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"install_tensorflow.py\", \"size\": 2805}", "timestamp": "2025-09-29T19:59:24.496722", "tool_call_id": "create_file:12", "name": "create_file" }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: numpy in /Users/jojo/Library/Python/3.9/lib/python/site-packages (1.26.4)\\nRequirement already satisfied: wheel in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (0.37.0)\\nRequirement already satisfied: setuptools in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (58.0.4)\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: numpy in /Users/jojo/Library/Python/3.9/lib/python/site-packages (1.26.4)\\nRequirement already satisfied: wheel in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (0.37.0)\\nRequirement already satisfied: setuptools in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (58.0.4)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install numpy wheel setuptools\"}", "timestamp": "2025-09-29T19:59:24.991619", "tool_call_id": "run_command:12", "name": "run_command" }, { "role": "assistant", "content": "现在让我运行这个安装脚本：", "timestamp": "2025-09-29T19:59:28.564229" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:28.569979", "tool_calls": [ { "id": "run_python:13", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('install_tensorflow.py').read())\"}" } } ] }, { "role": "assistant", "content": "很好！基础依赖已经安装好了。现在让我尝试一个更稳定的安装方法：\n\n8. 尝试使用--no-deps参数先安装TensorFlow本体，再手动安装依赖：", "timestamp": "2025-09-29T19:59:30.674454" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:30.680321", "tool_calls": [ { "id": "run_command:13", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-macos --no-deps\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nCollecting tensorflow-macos\\n Using cached tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl.metadata (3.3 kB)\\nUsing cached tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl (2.1 kB)\\nInstalling collected packages: tensorflow-macos\\nSuccessfully installed tensorflow-macos-2.16.2\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nCollecting tensorflow-macos\\n Using cached tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl.metadata (3.3 kB)\\nUsing cached tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl (2.1 kB)\\nInstalling collected packages: tensorflow-macos\\nSuccessfully installed tensorflow-macos-2.16.2\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install tensorflow-macos --no-deps\"}", "timestamp": "2025-09-29T19:59:32.489205", "tool_call_id": "run_command:13", "name": "run_command" }, { "role": "assistant", "content": "太好了！tensorflow-macos已经成功安装。现在让我安装必要的依赖：", "timestamp": "2025-09-29T19:59:36.917715" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:36.925216", "tool_calls": [ { "id": "run_command:14", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-macos[and-cuda] --no-deps\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: tensorflow-macos[and-cuda] in /Users/jojo/Library/Python/3.9/lib/python/site-packages (2.16.2)\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: tensorflow-macos[and-cuda] in /Users/jojo/Library/Python/3.9/lib/python/site-packages (2.16.2)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install tensorflow-macos[and-cuda] --no-deps\"}", "timestamp": "2025-09-29T19:59:38.741238", "tool_call_id": "run_command:14", "name": "run_command" }, { "role": "assistant", "content": "现在安装Metal插件以启用GPU加速：", "timestamp": "2025-09-29T19:59:43.750866" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T19:59:43.757289", "tool_calls": [ { "id": "run_command:15", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-metal --no-deps\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T20:00:14.084586", "tool_call_id": "run_command:15", "name": "run_command" }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (60秒)\", \"output\": \"\", \"return_code\": -1, \"code\": \"exec(open('install_tensorflow.py').read())\"}", "timestamp": "2025-09-29T20:00:28.901975", "tool_call_id": "run_python:13", "name": "run_python" }, { "role": "assistant", "content": "让我创建一个更简单的测试，先验证基本的pip功能：", "timestamp": "2025-09-29T20:00:33.424866" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:00:33.437345", "tool_calls": [ { "id": "run_command:14", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip list | head -10\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Package Version\\n------------------------------------ ------------\\naccelerate 1.1.1\\naiofiles 24.1.0\\naiohappyeyeballs 2.6.1\\naiohttp 3.11.18\\naiosignal 1.3.2\\naltair 5.5.0\\naltgraph 0.17.2\\nannotated-types 0.7.0\\n\\n[错误输出]\\nERROR: Pipe to stdout was broken\\nException ignored in: <_io.TextIOWrapper name='' mode='w' encoding='utf-8'>\\nBrokenPipeError: [Errno 32] Broken pipe\\n\", \"stdout\": \"Package Version\\n------------------------------------ ------------\\naccelerate 1.1.1\\naiofiles 24.1.0\\naiohappyeyeballs 2.6.1\\naiohttp 3.11.18\\naiosignal 1.3.2\\naltair 5.5.0\\naltgraph 0.17.2\\nannotated-types 0.7.0\\n\", \"stderr\": \"ERROR: Pipe to stdout was broken\\nException ignored in: <_io.TextIOWrapper name='' mode='w' encoding='utf-8'>\\nBrokenPipeError: [Errno 32] Broken pipe\\n\", \"return_code\": 0, \"command\": \"python3 -m pip list | head -10\"}", "timestamp": "2025-09-29T20:00:35.251019", "tool_call_id": "run_command:14", "name": "run_command" }, { "role": "assistant", "content": "很好！pip是正常工作的。让我尝试安装一个轻量级的TensorFlow版本：", "timestamp": "2025-09-29T20:00:40.241514" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:00:40.249162", "tool_calls": [ { "id": "run_command:15", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-macos\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T20:01:10.587203", "tool_call_id": "run_command:15", "name": "run_command" }, { "role": "assistant", "content": "## 总结和建议\n\n基于我的测试，你的系统环境是：\n- **macOS ARM64** (Apple Silicon)\n- **Python 3.9.6**\n- **pip 25.2** (工作正常)\n\n### 安装失败的主要原因：\n1. **网络超时问题** - 下载TensorFlow包需要较长时间\n2. **包大小问题** - TensorFlow完整包很大（几百MB）\n\n### 推荐解决方案：\n\n#### 🎯 方案1：离线安装（最可靠）\n1. 在一台网络好的电脑上下载TensorFlow wheel文件：\n ```bash\n # 下载命令（在别的电脑上）\n pip download tensorflow==2.15.0\n ```\n2. 将下载的`.whl`文件拷贝到你的电脑\n3. 本地安装：\n ```bash\n python3 -m pip install tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\n ```\n\n#### 🎯 方案2：使用Homebrew（如果已安装）\n```bash\nbrew install tensorflow\n```\n\n#### 🎯 方案3：分步安装\n先安装依赖，再安装TensorFlow：\n```bash\npython3 -m pip install numpy scipy\npython3 -m pip install tensorflow --no-deps\n```\n\n#### 🎯 方案4：使用虚拟环境\n```bash\npython3 -m venv tf_env\nsource tf_env/bin/activate\npython3 -m pip install tensorflow\n```\n\n### 🔧 验证安装\n安装完成后，用这个简单的测试：\n```python\nimport tensorflow as tf\nprint(\"TensorFlow版本:\", tf.__version__)\nprint(\"测试计算:\", tf.constant([1,2,3]) + tf.constant([4,5,6]))\n```\n\n你觉得哪个方案最适合？我可以帮你执行具体步骤。", "timestamp": "2025-09-29T20:01:26.545166" }, { "role": "user", "content": "继续", "timestamp": "2025-09-29T20:02:00.906388" }, { "role": "assistant", "content": "好的，让我继续帮你解决TensorFlow安装问题。根据之前的分析，网络超时是主要问题。让我尝试一个更系统的方法：\n\n## 继续解决方案\n\n### 🎯 方案5：使用国内镜像源（更稳定）\n\n让我尝试使用豆瓣镜像源，这个通常更稳定：", "timestamp": "2025-09-29T20:02:08.758108" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:02:08.766091", "tool_calls": [ { "id": "run_command:16", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow -i https://pypi.douban.com/simple/ --timeout 120\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nLooking in indexes: https://pypi.douban.com/simple/\\nCould not fetch URL https://pypi.douban.com/simple/tensorflow/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.douban.com', port=443): Max retries exceeded with url: /simple/tensorflow/ (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))) - skipping\\n\\n[错误输出]\\nWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)\\nERROR: No matching distribution found for tensorflow\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nLooking in indexes: https://pypi.douban.com/simple/\\nCould not fetch URL https://pypi.douban.com/simple/tensorflow/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.douban.com', port=443): Max retries exceeded with url: /simple/tensorflow/ (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))) - skipping\\n\", \"stderr\": \"WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nWARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)'))': /simple/tensorflow/\\nERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)\\nERROR: No matching distribution found for tensorflow\\n\", \"return_code\": 1, \"command\": \"python3 -m pip install tensorflow -i https://pypi.douban.com/simple/ --timeout 120\"}", "timestamp": "2025-09-29T20:02:19.208188", "tool_call_id": "run_command:16", "name": "run_command" }, { "role": "assistant", "content": "看起来SSL证书问题持续存在。让我尝试禁用SSL验证（不推荐但可测试）：", "timestamp": "2025-09-29T20:02:27.605828" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:02:27.611772", "tool_calls": [ { "id": "run_command:17", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow --trusted-host pypi.org --trusted-host pypi.python.org --trusted-host files.pythonhosted.org --timeout 120\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T20:02:57.952002", "tool_call_id": "run_command:17", "name": "run_command" }, { "role": "assistant", "content": "### 🎯 方案6：手动下载和安装（最实用）\n\n既然在线安装持续失败，让我帮你手动下载。首先检查你的系统具体信息：", "timestamp": "2025-09-29T20:03:10.096041" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:03:10.102197", "tool_calls": [ { "id": "run_command:18", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -c \\\"import platform; print(f'Python: {platform.python_version()}'); print(f'Architecture: {platform.machine()}'); print(f'System: {platform.system()}'); print(f'Version: {platform.mac_ver()[0]}')\\\"\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Python: 3.9.6\\nArchitecture: arm64\\nSystem: Darwin\\nVersion: 15.6.1\\n\", \"stdout\": \"Python: 3.9.6\\nArchitecture: arm64\\nSystem: Darwin\\nVersion: 15.6.1\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -c \\\"import platform; print(f'Python: {platform.python_version()}'); print(f'Architecture: {platform.machine()}'); print(f'System: {platform.system()}'); print(f'Version: {platform.mac_ver()[0]}')\\\"\"}", "timestamp": "2025-09-29T20:03:11.917212", "tool_call_id": "run_command:18", "name": "run_command" }, { "role": "assistant", "content": "完美！你的系统信息：\n- **Python 3.9.6**\n- **ARM64架构** (Apple Silicon)\n- **macOS 15.6.1**\n\n让我创建一个下载和安装脚本：", "timestamp": "2025-09-29T20:03:53.077341" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:03:53.084674", "tool_calls": [ { "id": "create_file:19", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"download_and_install_tensorflow.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow手动下载和安装助手\\n针对Apple Silicon Mac优化\\n\\\"\\\"\\\"\\n\\nimport urllib.request\\nimport os\\nimport subprocess\\nimport sys\\n\\ndef download_file(url, filename):\\n \\\"\\\"\\\"下载文件\\\"\\\"\\\"\\n print(f\\\"📥 下载 {filename}...\\\")\\n try:\\n urllib.request.urlretrieve(url, filename)\\n print(f\\\"✅ 下载完成: {filename}\\\")\\n return True\\n except Exception as e:\\n print(f\\\"❌ 下载失败: {e}\\\")\\n return False\\n\\ndef install_wheel(filename):\\n \\\"\\\"\\\"安装wheel文件\\\"\\\"\\\"\\n print(f\\\"📦 安装 {filename}...\\\")\\n try:\\n result = subprocess.run([\\n sys.executable, \\\"-m\\\", \\\"pip\\\", \\\"install\\\", filename\\n ], capture_output=True, text=True)\\n \\n if result.returncode == 0:\\n print(f\\\"✅ 安装成功: {filename}\\\")\\n return True\\n else:\\n print(f\\\"❌ 安装失败: {result.stderr}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 安装异常: {e}\\\")\\n return False\\n\\ndef main():\\n \\\"\\\"\\\"主函数\\\"\\\"\\\"\\n print(\\\"🚀 TensorFlow手动安装助手\\\")\\n print(\\\"=\\\" * 50)\\n \\n # 适合你系统的TensorFlow版本\\n tensorflow_url = \\\"https://files.pythonhosted.org/packages/cp39-cp39-macosx_11_0_arm64/tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\\\"\\n tensorflow_filename = \\\"tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\\\"\\n \\n print(\\\"📋 安装计划:\\\")\\n print(f\\\"TensorFlow版本: 2.15.0\\\")\\n print(f\\\"Python版本: 3.9\\\")\\n print(f\\\"系统: macOS ARM64\\\")\\n print()\\n \\n # 步骤1: 下载TensorFlow\\n print(\\\"步骤1: 下载TensorFlow...\\\")\\n if not download_file(tensorflow_url, tensorflow_filename):\\n print(\\\"❌ 下载失败，请手动下载文件\\\")\\n print(f\\\"下载地址: {tensorflow_url}\\\")\\n return\\n \\n # 步骤2: 安装TensorFlow\\n print(\\\"\\\\n步骤2: 安装TensorFlow...\\\")\\n if install_wheel(tensorflow_filename):\\n print(\\\"\\\\n🎉 TensorFlow安装成功！\\\")\\n \\n # 步骤3: 验证安装\\n print(\\\"\\\\n步骤3: 验证安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ 安装路径: {tf.__file__}\\\")\\n \\n # 简单测试\\n print(\\\"\\\\n🧪 运行简单测试...\\\")\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"测试通过: {a} + {b} = {c}\\\")\\n \\n except ImportError as e:\\n print(f\\\"❌ 导入失败: {e}\\\")\\n except Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\\n \\n # 清理下载的文件\\n print(\\\"\\\\n🧹 清理下载文件...\\\")\\n if os.path.exists(tensorflow_filename):\\n os.remove(tensorflow_filename)\\n print(\\\"✅ 清理完成\\\")\\n \\n print(\\\"\\\\n\\\" + \\\"=\\\" * 50)\\n print(\\\"安装过程完成！\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n main()\", \"annotation\": \"TensorFlow手动下载和安装脚本\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"download_and_install_tensorflow.py\", \"size\": 2548}", "timestamp": "2025-09-29T20:03:54.909810", "tool_call_id": "create_file:19", "name": "create_file" }, { "role": "assistant", "content": "现在让我运行这个下载和安装脚本：", "timestamp": "2025-09-29T20:04:00.547324" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:04:00.554127", "tool_calls": [ { "id": "run_python:20", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('download_and_install_tensorflow.py').read())\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"🚀 TensorFlow手动安装助手\\n==================================================\\n📋 安装计划:\\nTensorFlow版本: 2.15.0\\nPython版本: 3.9\\n系统: macOS ARM64\\n\\n步骤1: 下载TensorFlow...\\n📥 下载 tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl...\\n❌ 下载失败: HTTP Error 404: Not Found\\n❌ 下载失败，请手动下载文件\\n下载地址: https://files.pythonhosted.org/packages/cp39-cp39-macosx_11_0_arm64/tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\\n\", \"stdout\": \"🚀 TensorFlow手动安装助手\\n==================================================\\n📋 安装计划:\\nTensorFlow版本: 2.15.0\\nPython版本: 3.9\\n系统: macOS ARM64\\n\\n步骤1: 下载TensorFlow...\\n📥 下载 tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl...\\n❌ 下载失败: HTTP Error 404: Not Found\\n❌ 下载失败，请手动下载文件\\n下载地址: https://files.pythonhosted.org/packages/cp39-cp39-macosx_11_0_arm64/tensorflow-2.15.0-cp39-cp39-macosx_11_0_arm64.whl\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 \\\"/Users/jojo/Desktop/agent_kimi_源码备份/project/.temp_code.py\\\"\", \"code\": \"exec(open('download_and_install_tensorflow.py').read())\"}", "timestamp": "2025-09-29T20:04:55.750692", "tool_call_id": "run_python:20", "name": "run_python" }, { "role": "assistant", "content": "URL地址不正确。让我找到正确的下载地址：", "timestamp": "2025-09-29T20:05:01.180018" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:05:01.187062", "tool_calls": [ { "id": "web_search:21", "index": 0, "type": "function", "function": { "name": "web_search", "arguments": "{\"query\": \"tensorflow 2.15.0 cp39 macosx arm64 wheel download URL pypi\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"summary\": \"🔍 搜索查询: tensorflow 2.15.0 cp39 macosx arm64 wheel download URL pypi\\n📅 搜索时间: 2025-09-29T20:05:06.857501\\n\\n📝 AI摘要:\\nTensorFlow 2.15.0 for macOS ARM64 is not available directly from PyPI; use tensorflow-macos instead. Install with: `pip install tensorflow-macos=2.15.0`. For metal support, install tensorflow-metal.\\n\\n---\\n\\n📊 搜索结果:\\n\\n1. TensorFlow - PyPI\\n 🔗 https://pypi.org/project/tensorflow/\\n 📄 ### File metadata\\n\\n Download URL: tensorflow-2.19.0-cp39-cp39-macosx_12_0_arm64.whl\\n Upload date: Mar 12, 2025 \\n Size: 252.5 MB\\n Tags: CPython 3.9, macOS 12.0+ ARM64\\n Uploaded using Trust...\\n\\n2. What is the proper way to install TensorFlow on Apple M1 in 2022\\n 🔗 https://stackoverflow.com/questions/72964800/what-is-the-proper-way-to-install-tensorflow-on-apple-m1-in-2022\\n 📄 `% /Applications/Xcode.app/Contents/Developer/usr/bin/python3 pip list\\ntensorflow 2.15.0\\ntensorflow-estimator 2.15.0\\ntensorflow-io-gcs-filesystem 0.34.0\\ntensorflow-macos 2.15.0`\\n\\nMine was found here:\\n...\\n\\n3. Tensorflow source install on macOS | by Rangaswamy P V | Sep, 2025\\n 🔗 https://rangapv.medium.com/tensorflow-source-install-on-macos-eb3e1bdd1181\\n 📄 Python 3.10: Higher versions of Python may not work for Tensorflow. To install this version..\\n\\n“zlib” : library can be updated by the following command\\n\\nBazel 6.1.0: I had a latest version of Bazel in...\\n\\n4. tensorflow-macos - PyPI\\n 🔗 https://pypi.org/project/tensorflow-macos/\\n 📄 Details for the file `tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl`.\\n\\n`tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_m...\\n\\n5. tensorflow-text - PyPI\\n 🔗 https://pypi.org/project/tensorflow-text/\\n 📄 Details for the file `tensorflow_text-2.19.0-cp39-cp39-macosx_11_0_arm64.whl`.\\n\\n`tensorflow_text-2.19.0-cp39-cp39-macosx_11_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_tex...\\n\\n6. Make tensorflow-macos version match to build wheel successfully ...\\n 🔗 https://github.com/tensorflow/text/issues/1234\\n 📄 # Make tensorflow-macos version match to build wheel successfully on Apple Silicon. #1234\\n\\n@tuzhucheng\\n\\n## Description\\n\\n@tuzhucheng\\n\\nTo make the wheel successfully build on Apple Silicon machines, we ...\\n\\n7. Install TensorFlow with pip\\n 🔗 https://www.tensorflow.org/install/pip\\n 📄 | Version | URL |\\n --- |\\n| Linux x86 | |\\n| Python 3.9 GPU support | |\\n| Python 3.9 CPU-only | |\\n| Python 3.10 GPU support | |\\n| Python 3.10 CPU-only | |\\n| Python 3.11 GPU support | |\\n| Python 3.1...\\n\\n8. Build from source - TensorFlow\\n 🔗 https://www.tensorflow.org/install/source\\n 📄 bazel build //tensorflow/tools/pip_package:wheel \\\\\\n--repo_env=USE_PYWRAP_RULES=1 --repo_env=WHEEL_NAME=tensorflow_cpu --config=opt\\n\\n`\\n $HOST_PERMS version tags\\n```\\n\\nInstall and verify the package wit...\\n\\n9. tensorflow - piwheels\\n 🔗 https://www.piwheels.org/project/tensorflow/\\n 📄 | | | | | |\\n| 2.15.1 | 2024-03-08 | | | |\\n| | | | | |\\n| 2.15.0.post1 | 2023-12-05 | | | |\\n| | | | | |\\n| 2.15.0 | 2023-11-14 | | | |\\n| | | | | |\\n| 2.15.0rc1 pre-release | 2023-11-03 | | ...\\n\\n10. tensorflow-macos==2.15.0 still requesting ml-dtypes - GitHub\\n 🔗 https://github.com/tensorflow/tensorflow/issues/62746\\n 📄 # tensorflow-macos==2.15.0 still requesting ml-dtypes (~=0.2.0) instead of 0.3.1 #62746\\n\\nangerson\\nSuryanarayanaY\\n@mathpluscode\\n\\n## Description\\n\\n@mathpluscode\\n\\n### Issue type\\n\\nBug\\n\\n### Have you reprodu...\"}", "timestamp": "2025-09-29T20:05:06.861008", "tool_call_id": "web_search:21", "name": "web_search" }, { "role": "assistant", "content": "很好！根据搜索结果，对于Apple Silicon，我应该使用`tensorflow-macos`而不是标准TensorFlow。让我更新下载脚本：", "timestamp": "2025-09-29T20:05:46.638710" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:05:46.647390", "tool_calls": [ { "id": "create_file:22", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"download_tensorflow_macos.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow macOS手动下载和安装助手\\n专门针对Apple Silicon Mac\\n\\\"\\\"\\\"\\n\\nimport urllib.request\\nimport os\\nimport subprocess\\nimport sys\\n\\ndef download_file(url, filename):\\n \\\"\\\"\\\"下载文件\\\"\\\"\\\"\\n print(f\\\"📥 下载 {filename}...\\\")\\n try:\\n urllib.request.urlretrieve(url, filename)\\n print(f\\\"✅ 下载完成: {filename}\\\")\\n return True\\n except Exception as e:\\n print(f\\\"❌ 下载失败: {e}\\\")\\n return False\\n\\ndef install_wheel(filename):\\n \\\"\\\"\\\"安装wheel文件\\\"\\\"\\\"\\n print(f\\\"📦 安装 {filename}...\\\")\\n try:\\n result = subprocess.run([\\n sys.executable, \\\"-m\\\", \\\"pip\\\", \\\"install\\\", filename\\n ], capture_output=True, text=True)\\n \\n if result.returncode == 0:\\n print(f\\\"✅ 安装成功: {filename}\\\")\\n return True\\n else:\\n print(f\\\"❌ 安装失败: {result.stderr}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 安装异常: {e}\\\")\\n return False\\n\\ndef main():\\n \\\"\\\"\\\"主函数\\\"\\\"\\\"\\n print(\\\"🚀 TensorFlow macOS手动安装助手\\\")\\n print(\\\"=\\\" * 50)\\n \\n # 适合你系统的TensorFlow版本\\n tensorflow_macos_url = \\\"https://files.pythonhosted.org/packages/cp39-cp39-macosx_12_0_arm64/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n tensorflow_macos_filename = \\\"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n \\n print(\\\"📋 安装计划:\\\")\\n print(f\\\"TensorFlow版本: tensorflow-macos 2.16.2\\\")\\n print(f\\\"Python版本: 3.9\\\")\\n print(f\\\"系统: macOS ARM64 (Apple Silicon)\\\")\\n print()\\n \\n # 步骤1: 下载tensorflow-macos\\n print(\\\"步骤1: 下载tensorflow-macos...\\\")\\n if not download_file(tensorflow_macos_url, tensorflow_macos_filename):\\n print(\\\"❌ 下载失败，请手动下载文件\\\")\\n print(f\\\"下载地址: {tensorflow_macos_url}\\\")\\n print(\\\"或者访问: https://pypi.org/project/tensorflow-macos/#files\\\")\\n return\\n \\n # 步骤2: 安装tensorflow-macos\\n print(\\\"\\\\n步骤2: 安装tensorflow-macos...\\\")\\n if install_wheel(tensorflow_macos_filename):\\n print(\\\"🎉 tensorflow-macos安装成功！\\\")\\n \\n # 步骤3: 验证安装\\n print(\\\"\\\\n步骤3: 验证安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ 安装路径: {tf.__file__}\\\")\\n \\n # 简单测试\\n print(\\\"\\\\n🧪 运行简单测试...\\\")\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"测试通过: {a} + {b} = {c}\\\")\\n \\n except ImportError as e:\\n print(f\\\"❌ 导入失败: {e}\\\")\\n except Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\\n else:\\n print(\\\"❌ tensorflow-macos安装失败\\\")\\n \\n # 清理下载的文件\\n print(\\\"\\\\n🧹 清理下载文件...\\\")\\n if os.path.exists(tensorflow_macos_filename):\\n os.remove(tensorflow_macos_filename)\\n print(\\\"✅ 清理完成\\\")\\n \\n print(\\\"\\\\n\\\" + \\\"=\\\" * 50)\\n print(\\\"安装过程完成！\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n main()\", \"annotation\": \"TensorFlow macOS手动下载和安装脚本\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"download_tensorflow_macos.py\", \"size\": 2803}", "timestamp": "2025-09-29T20:05:48.474760", "tool_call_id": "create_file:22", "name": "create_file" }, { "role": "assistant", "content": "现在让我运行这个更新的脚本：", "timestamp": "2025-09-29T20:05:55.078929" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:05:55.086264", "tool_calls": [ { "id": "run_python:23", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('download_tensorflow_macos.py').read())\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"🚀 TensorFlow macOS手动安装助手\\n==================================================\\n📋 安装计划:\\nTensorFlow版本: tensorflow-macos 2.16.2\\nPython版本: 3.9\\n系统: macOS ARM64 (Apple Silicon)\\n\\n步骤1: 下载tensorflow-macos...\\n📥 下载 tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl...\\n❌ 下载失败: HTTP Error 404: Not Found\\n❌ 下载失败，请手动下载文件\\n下载地址: https://files.pythonhosted.org/packages/cp39-cp39-macosx_12_0_arm64/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n或者访问: https://pypi.org/project/tensorflow-macos/#files\\n\", \"stdout\": \"🚀 TensorFlow macOS手动安装助手\\n==================================================\\n📋 安装计划:\\nTensorFlow版本: tensorflow-macos 2.16.2\\nPython版本: 3.9\\n系统: macOS ARM64 (Apple Silicon)\\n\\n步骤1: 下载tensorflow-macos...\\n📥 下载 tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl...\\n❌ 下载失败: HTTP Error 404: Not Found\\n❌ 下载失败，请手动下载文件\\n下载地址: https://files.pythonhosted.org/packages/cp39-cp39-macosx_12_0_arm64/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n或者访问: https://pypi.org/project/tensorflow-macos/#files\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 \\\"/Users/jojo/Desktop/agent_kimi_源码备份/project/.temp_code.py\\\"\", \"code\": \"exec(open('download_tensorflow_macos.py').read())\"}", "timestamp": "2025-09-29T20:05:56.898914", "tool_call_id": "run_python:23", "name": "run_python" }, { "role": "assistant", "content": "让我直接访问PyPI页面获取正确的下载链接：", "timestamp": "2025-09-29T20:06:05.194481" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:06:05.202199", "tool_calls": [ { "id": "extract_webpage:24", "index": 0, "type": "function", "function": { "name": "extract_webpage", "arguments": "{\"url\": \"https://pypi.org/project/tensorflow-macos/#files\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"url\": \"https://pypi.org/project/tensorflow-macos/#files\", \"content\": \"🌐 网页内容 (14748 字符):\\n📍 URL: https://pypi.org/project/tensorflow-macos/#files\\n==================================================\\n![PyPI](/static/images/logo-small.8998e9d1.svg)\\n\\n# tensorflow-macos 2.16.2\\n\\npip install tensorflow-macos\\n\\n\\nCopy PIP instructions\\n\\nReleased: \\nJun 28, 2024\\n\\nTensorFlow is an open source machine learning framework for everyone.\\n\\n### Navigation\\n\\n### Verified details\\n\\n###### Maintainers\\n\\n![Avatar for dingshuhan from gravatar.com](https://pypi-camo.freetls.fastly.net/1312e72b808b99b9915548c0ce693326e85f160a/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f66313933343964653366313739636537366339306666323664623439396136633f73697a653d3530 \\\"Avatar for dingshuhan from gravatar.com\\\")\\n![Avatar for jhavukainen from gravatar.com](https://pypi-camo.freetls.fastly.net/05feb034f42227e986a050be60a5632071db9171/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f39303139633237363938353863353738333832343736623764336561636534353f73697a653d3530 \\\"Avatar for jhavukainen from gravatar.com\\\")\\n![Avatar for kulinseth from gravatar.com](https://pypi-camo.freetls.fastly.net/49ab3470b9e6f12e8254acf04d729b1bd4c1c279/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f34656363383335303862626561326437376535313036343636366239663837313f73697a653d3530 \\\"Avatar for kulinseth from gravatar.com\\\")\\n![Avatar for skotapati from gravatar.com](https://pypi-camo.freetls.fastly.net/741f6a7a5d0232056bd10de58b0f96e0a39e2c7c/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f35383335383462353039326638303636363536356564666164383161366237363f73697a653d3530 \\\"Avatar for skotapati from gravatar.com\\\")\\n![Avatar for tf-nightly from gravatar.com](https://pypi-camo.freetls.fastly.net/06389986d972294847c32477167e46ec1f4cad30/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f65383835376337626265386434383932626434653364303765353361336331353f73697a653d3530 \\\"Avatar for tf-nightly from gravatar.com\\\")\\n\\n### Unverified details\\n\\n###### Project links\\n\\n###### Meta\\n\\n`and-cuda`\\n\\n###### Classifiers\\n\\n## Project description\\n\\n[![Python](https://pypi-camo.freetls.fastly.net/582ab2eba9d0e0f4acbea2fd883f604349908147/68747470733a2f2f696d672e736869656c64732e696f2f707970692f707976657273696f6e732f74656e736f72666c6f772e7376673f7374796c653d706c6173746963)](https://badge.fury.io/py/tensorflow)\\n[![PyPI](https://pypi-camo.freetls.fastly.net/76cd0764983d405a55b91b028b8ea467797f1816/68747470733a2f2f62616467652e667572792e696f2f70792f74656e736f72666c6f772e737667)](https://badge.fury.io/py/tensorflow)\\n\\n![Python](https://pypi-camo.freetls.fastly.net/582ab2eba9d0e0f4acbea2fd883f604349908147/68747470733a2f2f696d672e736869656c64732e696f2f707970692f707976657273696f6e732f74656e736f72666c6f772e7376673f7374796c653d706c6173746963)\\n![PyPI](https://pypi-camo.freetls.fastly.net/76cd0764983d405a55b91b028b8ea467797f1816/68747470733a2f2f62616467652e667572792e696f2f70792f74656e736f72666c6f772e737667)\\n\\nTensorFlow is an open source software library for high performance numerical\\ncomputation. Its flexible architecture allows easy deployment of computation\\nacross a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters\\nof servers to mobile and edge devices.\\n\\nOriginally developed by researchers and engineers from the Google Brain team\\nwithin Google's AI organization, it comes with strong support for machine\\nlearning and deep learning and the flexible numerical computation core is used\\nacross many other scientific domains. TensorFlow is licensed under [Apache\\n2.0](https://github.com/tensorflow/tensorflow/blob/master/LICENSE).\\n\\n## Project details\\n\\n### Verified details\\n\\n###### Maintainers\\n\\n![Avatar for dingshuhan from gravatar.com](https://pypi-camo.freetls.fastly.net/1312e72b808b99b9915548c0ce693326e85f160a/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f66313933343964653366313739636537366339306666323664623439396136633f73697a653d3530 \\\"Avatar for dingshuhan from gravatar.com\\\")\\n![Avatar for jhavukainen from gravatar.com](https://pypi-camo.freetls.fastly.net/05feb034f42227e986a050be60a5632071db9171/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f39303139633237363938353863353738333832343736623764336561636534353f73697a653d3530 \\\"Avatar for jhavukainen from gravatar.com\\\")\\n![Avatar for kulinseth from gravatar.com](https://pypi-camo.freetls.fastly.net/49ab3470b9e6f12e8254acf04d729b1bd4c1c279/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f34656363383335303862626561326437376535313036343636366239663837313f73697a653d3530 \\\"Avatar for kulinseth from gravatar.com\\\")\\n![Avatar for skotapati from gravatar.com](https://pypi-camo.freetls.fastly.net/741f6a7a5d0232056bd10de58b0f96e0a39e2c7c/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f35383335383462353039326638303636363536356564666164383161366237363f73697a653d3530 \\\"Avatar for skotapati from gravatar.com\\\")\\n![Avatar for tf-nightly from gravatar.com](https://pypi-camo.freetls.fastly.net/06389986d972294847c32477167e46ec1f4cad30/68747470733a2f2f7365637572652e67726176617461722e636f6d2f6176617461722f65383835376337626265386434383932626434653364303765353361336331353f73697a653d3530 \\\"Avatar for tf-nightly from gravatar.com\\\")\\n\\n### Unverified details\\n\\n###### Project links\\n\\n###### Meta\\n\\n`and-cuda`\\n\\n###### Classifiers\\n\\n## Release history [Release notifications](/help/#project-release-notifications) | [RSS feed](/rss/project/tensorflow-macos/releases.xml)\\n\\n![](https://pypi.org/static/images/blue-cube.572a5bfb.svg)\\n\\n2.16.2\\n\\nJun 28, 2024\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.16.1\\n\\nMar 20, 2024\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.16.0rc0\\npre-release\\n\\nMar 20, 2024\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.15.1\\n\\nMar 20, 2024\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.15.0\\n\\nNov 13, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.15.0rc1\\npre-release\\n\\nNov 3, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.15.0rc0\\npre-release\\n\\nOct 26, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.14.1\\n\\nNov 14, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.14.0\\n\\nSep 27, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.14.0rc1\\npre-release\\n\\nSep 1, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.14.0rc0\\npre-release\\n\\nAug 17, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.13.1\\n\\nSep 27, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.13.0\\n\\nJul 5, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.13.0rc2\\npre-release\\n\\nJun 29, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.13.0rc1\\npre-release\\n\\nMay 30, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.13.0rc0\\npre-release\\n\\nMay 10, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.12.0\\n\\nMar 30, 2023\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.11.0\\n\\nDec 9, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.10.0\\n\\nSep 15, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.9.2\\n\\nJun 6, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.9.1\\n\\nMay 31, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.9.0\\n\\nMay 19, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.8.0\\n\\nFeb 11, 2022\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.7.0\\n\\nDec 2, 2021\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.6.0\\n\\nSep 30, 2021\\n\\n![](https://pypi.org/static/images/white-cube.2351a86c.svg)\\n\\n2.5.0\\n\\nJun 5, 2021\\n\\n## Download files\\n\\nDownload the file for your platform. If you're not sure which to choose, learn more about [installing packages](https://packaging.python.org/tutorials/installing-packages/ \\\"External link\\\").\\n\\n### Source Distributions\\n\\n### Built Distributions\\n\\nFilter files by name, interpreter, ABI, and platform.\\n\\nIf you're not sure about the file name format, learn more about [wheel file names](https://packaging.python.org/en/latest/specifications/binary-distribution-format/ \\\"External link\\\").\\n\\nThe dropdown lists show the available interpreters, ABIs, and platforms.\\n\\nEnable javascript to be able to filter the list of wheel files.\\n\\nCopy a direct link to the current filters \\n\\nCopy\\n\\nUploaded \\nJun 28, 2024\\n`CPython 3.12``macOS 12.0+ ARM64`\\n\\n`CPython 3.12`\\n`macOS 12.0+ ARM64`\\n\\nUploaded \\nJun 28, 2024\\n`CPython 3.11``macOS 12.0+ ARM64`\\n\\n`CPython 3.11`\\n`macOS 12.0+ ARM64`\\n\\nUploaded \\nJun 28, 2024\\n`CPython 3.10``macOS 12.0+ ARM64`\\n\\n`CPython 3.10`\\n`macOS 12.0+ ARM64`\\n\\nUploaded \\nJun 28, 2024\\n`CPython 3.9``macOS 12.0+ ARM64`\\n\\n`CPython 3.9`\\n`macOS 12.0+ ARM64`\\n\\n## File details\\n\\nDetails for the file `tensorflow_macos-2.16.2-cp312-cp312-macosx_12_0_arm64.whl`.\\n\\n`tensorflow_macos-2.16.2-cp312-cp312-macosx_12_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_macos-2.16.2-cp312-cp312-macosx\\\\_12\\\\_0\\\\_arm64.whl\\n\\n| Algorithm | Hash digest | |\\n| --- | --- | --- |\\n| SHA256 | `6948f046fa1ef4f4abcd480e0057de1dec95b97c38cf716018083173ee6dfa8e` | Copy |\\n| MD5 | `1ba4d3921ff6fa885563675b90c9b477` | Copy |\\n| BLAKE2b-256 | `c38d411bf034704893d35dee0b9825c7845a7c9be96417e8f97feca2ed8055bd` | Copy |\\n\\n`6948f046fa1ef4f4abcd480e0057de1dec95b97c38cf716018083173ee6dfa8e`\\n`1ba4d3921ff6fa885563675b90c9b477`\\n`c38d411bf034704893d35dee0b9825c7845a7c9be96417e8f97feca2ed8055bd`\\n\\n[See more details on using hashes here.](https://pip.pypa.io/en/stable/topics/secure-installs/#hash-checking-mode \\\"External link\\\")\\n\\n## File details\\n\\nDetails for the file `tensorflow_macos-2.16.2-cp311-cp311-macosx_12_0_arm64.whl`.\\n\\n`tensorflow_macos-2.16.2-cp311-cp311-macosx_12_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_macos-2.16.2-cp311-cp311-macosx\\\\_12\\\\_0\\\\_arm64.whl\\n\\n| Algorithm | Hash digest | |\\n| --- | --- | --- |\\n| SHA256 | `13687ed18ad93757b9a8b9b5a55c434cbadb142a354888ea28581b5d278338b7` | Copy |\\n| MD5 | `cd21f1ab102c6c3f1920d89752191a71` | Copy |\\n| BLAKE2b-256 | `05c547dee312dde75b7f6c04af18287839cbede72418137ad9ed3c1965dad6ae` | Copy |\\n\\n`13687ed18ad93757b9a8b9b5a55c434cbadb142a354888ea28581b5d278338b7`\\n`cd21f1ab102c6c3f1920d89752191a71`\\n`05c547dee312dde75b7f6c04af18287839cbede72418137ad9ed3c1965dad6ae`\\n\\n[See more details on using hashes here.](https://pip.pypa.io/en/stable/topics/secure-installs/#hash-checking-mode \\\"External link\\\")\\n\\n## File details\\n\\nDetails for the file `tensorflow_macos-2.16.2-cp310-cp310-macosx_12_0_arm64.whl`.\\n\\n`tensorflow_macos-2.16.2-cp310-cp310-macosx_12_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_macos-2.16.2-cp310-cp310-macosx\\\\_12\\\\_0\\\\_arm64.whl\\n\\n| Algorithm | Hash digest | |\\n| --- | --- | --- |\\n| SHA256 | `6a945ad9c0add0d9be46f1addc07e5475ac24217609bfea6e05d9c5ab66e7204` | Copy |\\n| MD5 | `a28cab901ce14e1cbbb55340e91c8f2e` | Copy |\\n| BLAKE2b-256 | `2566c504f415d5356def468e44e09dad60bf0d0f720b399e6c9af3488382e433` | Copy |\\n\\n`6a945ad9c0add0d9be46f1addc07e5475ac24217609bfea6e05d9c5ab66e7204`\\n`a28cab901ce14e1cbbb55340e91c8f2e`\\n`2566c504f415d5356def468e44e09dad60bf0d0f720b399e6c9af3488382e433`\\n\\n[See more details on using hashes here.](https://pip.pypa.io/en/stable/topics/secure-installs/#hash-checking-mode \\\"External link\\\")\\n\\n## File details\\n\\nDetails for the file `tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl`.\\n\\n`tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl`\\n\\n### File metadata\\n\\n### File hashes\\n\\nHashes for tensorflow\\\\_macos-2.16.2-cp39-cp39-macosx\\\\_12\\\\_0\\\\_arm64.whl\\n\\n| Algorithm | Hash digest | |\\n| --- | --- | --- |\\n| SHA256 | `cbe925eef5f9efa227cf78503adb69e3046d44d9e068791edab8373e1fadb2da` | Copy |\\n| MD5 | `f26d4a54174dd3db17300fc9d352faa2` | Copy |\\n| BLAKE2b-256 | `2d369d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c` | Copy |\\n\\n`cbe925eef5f9efa227cf78503adb69e3046d44d9e068791edab8373e1fadb2da`\\n`f26d4a54174dd3db17300fc9d352faa2`\\n`2d369d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c`\\n\\n[See more details on using hashes here.](https://pip.pypa.io/en/stable/topics/secure-installs/#hash-checking-mode \\\"External link\\\")\\n\\n![](/static/images/white-cube.2351a86c.svg)\\n\\n## Help\\n\\n## About PyPI\\n\\n## Contributing to PyPI\\n\\n## Using PyPI\\n\\nStatus:[all systems operational](https://status.python.org/ \\\"External link\\\")\\n\\nDeveloped and maintained by the Python community, for the Python community. \\n[Donate today!](https://donate.pypi.org)\\n\\n\\\"PyPI\\\", \\\"Python Package Index\\\", and the blocks logos are registered [trademarks](/trademarks/) of the [Python Software Foundation](https://www.python.org/psf-landing).\\n\\n© 2025 [Python Software Foundation](https://www.python.org/psf-landing/ \\\"External link\\\")\\n \\n[Site map](/sitemap/)\\n\\nSupported by\\n\\n![](https://pypi-camo.freetls.fastly.net/ed7074cadad1a06f56bc520ad9bd3e00d0704c5b/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f6177732d77686974652d6c6f676f2d7443615473387a432e706e67)\\n![](https://pypi-camo.freetls.fastly.net/8855f7c063a3bdb5b0ce8d91bfc50cf851cc5c51/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f64617461646f672d77686974652d6c6f676f2d6668644c4e666c6f2e706e67)\\n![](https://pypi-camo.freetls.fastly.net/60f709d24f3e4d469f9adc77c65e2f5291a3d165/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f6465706f742d77686974652d6c6f676f2d7038506f476831302e706e67)\\n![](https://pypi-camo.freetls.fastly.net/df6fe8829cbff2d7f668d98571df1fd011f36192/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f666173746c792d77686974652d6c6f676f2d65684d3077735f6f2e706e67)\\n![](https://pypi-camo.freetls.fastly.net/420cc8cf360bac879e24c923b2f50ba7d1314fb0/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f676f6f676c652d77686974652d6c6f676f2d616734424e3774332e706e67)\\n![](https://pypi-camo.freetls.fastly.net/d01053c02f3a626b73ffcb06b96367fdbbf9e230/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f70696e67646f6d2d77686974652d6c6f676f2d67355831547546362e706e67)\\n![](https://pypi-camo.freetls.fastly.net/67af7117035e2345bacb5a82e9aa8b5b3e70701d/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f73656e7472792d77686974652d6c6f676f2d4a2d6b64742d706e2e706e67)\\n![](https://pypi-camo.freetls.fastly.net/b611884ff90435a0575dbab7d9b0d3e60f136466/68747470733a2f2f73746f726167652e676f6f676c65617069732e636f6d2f707970692d6173736574732f73706f6e736f726c6f676f732f737461747573706167652d77686974652d6c6f676f2d5467476c6a4a2d502e706e67)\\n==================================================\"}", "timestamp": "2025-09-29T20:06:08.311207", "tool_call_id": "extract_webpage:24", "name": "extract_webpage" }, { "role": "assistant", "content": "太好了！我找到了正确的下载链接。让我提取具体的下载URL：", "timestamp": "2025-09-29T20:06:17.131510" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:06:17.139045", "tool_calls": [ { "id": "run_command:25", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"curl -s \\\"https://pypi.org/project/tensorflow-macos/#files\\\" | grep -o 'href=\\\"[^\\\"]*cp39[^\\\"]*macosx[^\\\"]*arm64[^\\\"]*\\\\.whl\\\"' | head -1 | sed 's/href=\\\"//g' | sed 's/\\\"//g'\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n\", \"stdout\": \"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"curl -s \\\"https://pypi.org/project/tensorflow-macos/#files\\\" | grep -o 'href=\\\"[^\\\"]*cp39[^\\\"]*macosx[^\\\"]*arm64[^\\\"]*\\\\.whl\\\"' | head -1 | sed 's/href=\\\"//g' | sed 's/\\\"//g'\"}", "timestamp": "2025-09-29T20:06:19.156744", "tool_call_id": "run_command:25", "name": "run_command" }, { "role": "assistant", "content": "完美！现在我有了正确的下载链接。让我更新脚本并使用正确的URL：", "timestamp": "2025-09-29T20:07:05.171830" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:07:05.178719", "tool_calls": [ { "id": "create_file:26", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"install_tensorflow_final.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow macOS最终安装助手\\n专门针对Apple Silicon Mac - Python 3.9\\n\\\"\\\"\\\"\\n\\nimport urllib.request\\nimport os\\nimport subprocess\\nimport sys\\n\\ndef download_file(url, filename):\\n \\\"\\\"\\\"下载文件\\\"\\\"\\\"\\n print(f\\\"📥 下载 {filename}...\\\")\\n try:\\n urllib.request.urlretrieve(url, filename)\\n print(f\\\"✅ 下载完成: {filename}\\\")\\n return True\\n except Exception as e:\\n print(f\\\"❌ 下载失败: {e}\\\")\\n return False\\n\\ndef install_wheel(filename):\\n \\\"\\\"\\\"安装wheel文件\\\"\\\"\\\"\\n print(f\\\"📦 安装 {filename}...\\\")\\n try:\\n result = subprocess.run([\\n sys.executable, \\\"-m\\\", \\\"pip\\\", \\\"install\\\", filename\\n ], capture_output=True, text=True)\\n \\n if result.returncode == 0:\\n print(f\\\"✅ 安装成功: {filename}\\\")\\n return True\\n else:\\n print(f\\\"❌ 安装失败: {result.stderr}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 安装异常: {e}\\\")\\n return False\\n\\ndef main():\\n \\\"\\\"\\\"主函数\\\"\\\"\\\"\\n print(\\\"🚀 TensorFlow macOS最终安装助手\\\")\\n print(\\\"=\\\" * 50)\\n \\n # 正确的TensorFlow macOS下载链接\\n tensorflow_url = \\\"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n tensorflow_filename = \\\"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n \\n print(\\\"📋 系统信息:\\\")\\n print(f\\\"Python版本: {sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}\\\")\\n print(f\\\"平台: {sys.platform}\\\")\\n print()\\n print(\\\"📋 安装计划:\\\")\\n print(f\\\"TensorFlow版本: tensorflow-macos 2.16.2\\\")\\n print(f\\\"文件大小: ~200MB\\\")\\n print(f\\\"目标系统: macOS 12.0+ ARM64 (Apple Silicon)\\\")\\n print()\\n \\n # 步骤1: 下载tensorflow-macos\\n print(\\\"步骤1: 下载tensorflow-macos...\\\")\\n print(\\\"⚠️ 文件较大，下载可能需要几分钟...\\\")\\n \\n if not download_file(tensorflow_url, tensorflow_filename):\\n print(\\\"❌ 自动下载失败\\\")\\n print(\\\"💡 请手动下载:\\\")\\n print(f\\\" 1. 访问: https://pypi.org/project/tensorflow-macos/#files\\\")\\n print(f\\\" 2. 下载: tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\")\\n print(f\\\" 3. 在该目录运行: python3 -m pip install {tensorflow_filename}\\\")\\n return\\n \\n # 步骤2: 安装tensorflow-macos\\n print(\\\"\\\\n步骤2: 安装tensorflow-macos...\\\")\\n if install_wheel(tensorflow_filename):\\n print(\\\"🎉 tensorflow-macos安装成功！\\\")\\n \\n # 步骤3: 验证安装\\n print(\\\"\\\\n步骤3: 验证安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ 安装路径: {tf.__file__}\\\")\\n \\n # 简单测试\\n print(\\\"\\\\n🧪 运行简单测试...\\\")\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"测试通过: {a} + {b} = {c}\\\")\\n \\n print(\\\"\\\\n🎊 恭喜！TensorFlow安装成功并正常工作！\\\")\\n \\n except ImportError as e:\\n print(f\\\"❌ 导入失败: {e}\\\")\\n print(\\\"💡 可能需要安装依赖包\\\")\\n except Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\\n else:\\n print(\\\"❌ tensorflow-macos安装失败\\\")\\n \\n # 清理下载的文件\\n print(\\\"\\\\n🧹 清理下载文件...\\\")\\n if os.path.exists(tensorflow_filename):\\n os.remove(tensorflow_filename)\\n print(\\\"✅ 清理完成\\\")\\n \\n print(\\\"\\\\n\\\" + \\\"=\\\" * 50)\\n print(\\\"安装过程完成！\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n main()\", \"annotation\": \"TensorFlow macOS最终安装脚本\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"install_tensorflow_final.py\", \"size\": 3261}", "timestamp": "2025-09-29T20:07:07.005325", "tool_call_id": "create_file:26", "name": "create_file" }, { "role": "assistant", "content": "现在让我运行这个最终安装脚本：", "timestamp": "2025-09-29T20:07:13.163501" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:07:13.171433", "tool_calls": [ { "id": "run_python:27", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('install_tensorflow_final.py').read())\"}" } } ] }, { "role": "user", "content": "继续", "timestamp": "2025-09-29T20:07:23.531322" }, { "role": "assistant", "content": "好的，让我继续运行这个最终安装脚本：", "timestamp": "2025-09-29T20:07:32.856313" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:07:32.864821", "tool_calls": [ { "id": "run_python:28", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"exec(open('install_tensorflow_final.py').read())\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (60秒)\", \"output\": \"\", \"return_code\": -1, \"code\": \"exec(open('install_tensorflow_final.py').read())\"}", "timestamp": "2025-09-29T20:08:13.511209", "tool_call_id": "run_python:27", "name": "run_python" }, { "role": "assistant", "content": "看起来下载仍然超时。让我尝试一个更直接的方法 - 使用curl命令行下载：", "timestamp": "2025-09-29T20:08:23.669077" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:08:23.675335", "tool_calls": [ { "id": "run_command:28", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"curl -L -o tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl \\\"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\" --progress-bar\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\\n[错误输出]\\n##O=-# # \\r#=O#- # # \\r-#O=# # # \\rcurl: (6) Could not resolve host: files.python3hosted.org\\n\\n\", \"stdout\": \"\", \"stderr\": \"##O=-# # \\r#=O#- # # \\r-#O=# # # \\rcurl: (6) Could not resolve host: files.python3hosted.org\\n\\n\", \"return_code\": 6, \"command\": \"curl -L -o tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl \\\"https://files.python3hosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\" --progress-bar\"}", "timestamp": "2025-09-29T20:08:25.486319", "tool_call_id": "run_command:28", "name": "run_command" }, { "role": "assistant", "content": "看起来有DNS解析问题。让我检查网络连接并尝试其他方法：", "timestamp": "2025-09-29T20:08:30.912273" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:08:30.920428", "tool_calls": [ { "id": "run_command:29", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"nslookup files.pythonhosted.org\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stdout\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stderr\": \"\", \"return_code\": 1, \"command\": \"nslookup files.python3hosted.org\"}", "timestamp": "2025-09-29T20:08:32.733573", "tool_call_id": "run_command:29", "name": "run_command" }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (60秒)\", \"output\": \"\", \"return_code\": -1, \"code\": \"exec(open('install_tensorflow_final.py').read())\"}", "timestamp": "2025-09-29T20:08:33.207737", "tool_call_id": "run_python:28", "name": "run_python" }, { "role": "assistant", "content": "DNS解析有问题。让我尝试使用IP地址或者备用方法：", "timestamp": "2025-09-29T20:08:45.898967" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:08:45.908709", "tool_calls": [ { "id": "run_command:30", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"nslookup files.pythonhosted.org 8.8.8.8\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Server:\\t\\t8.8.8.8\\nAddress:\\t8.8.8.8#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stdout\": \"Server:\\t\\t8.8.8.8\\nAddress:\\t8.8.8.8#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stderr\": \"\", \"return_code\": 1, \"command\": \"nslookup files.python3hosted.org 8.8.8.8\"}", "timestamp": "2025-09-29T20:08:47.721282", "tool_call_id": "run_command:30", "name": "run_command" }, { "role": "assistant", "content": "下载超时了，文件太大（~200MB）。让我尝试一个更实际的方法 - 直接手动安装：\n\n### 🎯 方案7：分步手动安装\n\n既然自动下载失败，让我帮你一步步手动完成：\n\n**步骤1：手动下载文件**", "timestamp": "2025-09-29T20:08:51.890840" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:08:51.896931", "tool_calls": [ { "id": "create_file:29", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\", \"file_type\": \"txt\", \"content\": \"# 这是一个占位文件\\n# 请手动下载TensorFlow wheel文件并重命名为此文件名\\n# 下载地址：https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n\\n# 或者访问：https://pypi.org/project/tensorflow-macos/#files\\n# 找到：tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n# 文件大小约200MB\", \"annotation\": \"TensorFlow下载说明文件\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\", \"size\": 346}", "timestamp": "2025-09-29T20:08:53.723129", "tool_call_id": "create_file:29", "name": "create_file" }, { "role": "assistant", "content": "看起来是域名拼写错误。让我使用正确的域名：", "timestamp": "2025-09-29T20:08:57.241201" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:08:57.248846", "tool_calls": [ { "id": "run_command:31", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"nslookup files.pythonhosted.org\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stdout\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stderr\": \"\", \"return_code\": 1, \"command\": \"nslookup files.python3hosted.org\"}", "timestamp": "2025-09-29T20:08:59.062100", "tool_call_id": "run_command:31", "name": "run_command" }, { "role": "assistant", "content": "让我检查正确的域名：", "timestamp": "2025-09-29T20:09:04.962094" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:04.974145", "tool_calls": [ { "id": "run_command:32", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"nslookup files.pythonhosted.org\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stdout\": \"Server:\\t\\t192.168.124.1\\nAddress:\\t192.168.124.1#53\\n\\n** server can't find files.python3hosted.org: NXDOMAIN\\n\\n\", \"stderr\": \"\", \"return_code\": 1, \"command\": \"nslookup files.python3hosted.org\"}", "timestamp": "2025-09-29T20:09:06.790341", "tool_call_id": "run_command:32", "name": "run_command" }, { "role": "assistant", "content": "让我尝试直接访问正确的域名：", "timestamp": "2025-09-29T20:09:17.588874" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:17.597324", "tool_calls": [ { "id": "run_command:33", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"curl -I https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\\n[错误输出]\\n % Total % Received % Xferd Average Speed Time Time Time Current\\n Dload Upload Total Spent Left Speed\\n\\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0curl: (6) Could not resolve host: files.python3hosted.org\\n\", \"stdout\": \"\", \"stderr\": \" % Total % Received % Xferd Average Speed Time Time Time Current\\n Dload Upload Total Spent Left Speed\\n\\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0curl: (6) Could not resolve host: files.python3hosted.org\\n\", \"return_code\": 6, \"command\": \"curl -I https://files.python3hosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\"}", "timestamp": "2025-09-29T20:09:19.411782", "tool_call_id": "run_command:33", "name": "run_command" }, { "role": "assistant", "content": "**步骤2：创建简化安装脚本**", "timestamp": "2025-09-29T20:09:32.350847" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:32.359920", "tool_calls": [ { "id": "create_file:30", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"simple_install.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\n简化TensorFlow安装脚本\\n假设wheel文件已经下载完成\\n\\\"\\\"\\\"\\n\\nimport subprocess\\nimport sys\\nimport os\\n\\ndef install_local_tensorflow():\\n \\\"\\\"\\\"安装本地的TensorFlow wheel文件\\\"\\\"\\\"\\n wheel_file = \\\"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n \\n if not os.path.exists(wheel_file):\\n print(f\\\"❌ 文件 {wheel_file} 不存在\\\")\\n print(\\\"请手动下载文件:\\\")\\n print(\\\"1. 访问: https://pypi.org/project/tensorflow-macos/#files\\\")\\n print(\\\"2. 下载: tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\")\\n print(\\\"3. 将文件放在当前目录\\\")\\n return False\\n \\n print(f\\\"📦 安装 {wheel_file}...\\\")\\n try:\\n result = subprocess.run([\\n sys.executable, \\\"-m\\\", \\\"pip\\\", \\\"install\\\", wheel_file\\n ], capture_output=True, text=True)\\n \\n if result.returncode == 0:\\n print(\\\"✅ TensorFlow安装成功！\\\")\\n return True\\n else:\\n print(f\\\"❌ 安装失败: {result.stderr}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 安装异常: {e}\\\")\\n return False\\n\\ndef verify_installation():\\n \\\"\\\"\\\"验证TensorFlow安装\\\"\\\"\\\"\\n print(\\\"\\\\n🔍 验证TensorFlow安装...\\\")\\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\n print(f\\\"✅ 安装路径: {tf.__file__}\\\")\\n \\n # 简单功能测试\\n print(\\\"\\\\n🧪 运行功能测试...\\\")\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"测试通过: {a} + {b} = {c}\\\")\\n \\n # 检查GPU支持\\n print(f\\\"✅ GPU可用: {tf.config.list_physical_devices('GPU')}\\\")\\n \\n return True\\n except ImportError as e:\\n print(f\\\"❌ TensorFlow导入失败: {e}\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\\n return False\\n\\ndef main():\\n print(\\\"🚀 TensorFlow简化安装\\\")\\n print(\\\"=\\\" * 30)\\n \\n # 安装TensorFlow\\n if install_local_tensorflow():\\n # 验证安装\\n if verify_installation():\\n print(\\\"\\\\n🎉 TensorFlow安装和验证成功！\\\")\\n print(\\\"你现在可以使用TensorFlow了！\\\")\\n else:\\n print(\\\"\\\\n⚠️ TensorFlow安装成功但验证失败\\\")\\n print(\\\"可能需要重启Python环境或安装依赖\\\")\\n else:\\n print(\\\"\\\\n❌ TensorFlow安装失败\\\")\\n print(\\\"请检查wheel文件是否正确下载\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n main()\", \"annotation\": \"简化TensorFlow安装脚本\"}" } } ] }, { "role": "assistant", "content": "看起来有DNS问题。让我尝试一个更实用的方法 - 使用代理或者给你具体的安装指导：\n\n## 🎯 最终解决方案\n\n由于网络连接问题，让我给你最实用的安装方案：\n\n### 📋 方案A：手动下载安装（推荐）\n\n1. **手动下载文件**（在浏览器中打开）：\n ```\n https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\n ```\n\n2. **文件大小**：约200MB，下载后保存到当前目录\n\n3. **本地安装**：\n ```bash\n python3 -m pip install tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\n ```\n\n### 📋 方案B：使用Homebrew（如果已安装）", "timestamp": "2025-09-29T20:09:33.674676" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:33.680011", "tool_calls": [ { "id": "run_command:34", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"which brew\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"simple_install.py\", \"size\": 2198}", "timestamp": "2025-09-29T20:09:34.181777", "tool_call_id": "create_file:30", "name": "create_file" }, { "role": "tool", "content": "{\"success\": true, \"output\": \"/opt/homebrew/bin/brew\\n\", \"stdout\": \"/opt/homebrew/bin/brew\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"which brew\"}", "timestamp": "2025-09-29T20:09:35.494382", "tool_call_id": "run_command:34", "name": "run_command" }, { "role": "assistant", "content": "**步骤3：尝试安装已有的tensorflow-macos**\n\n让我先检查是否已经有部分安装：", "timestamp": "2025-09-29T20:09:42.908801" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:42.916522", "tool_calls": [ { "id": "run_command:31", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -c \\\"import tensorflow as tf; print(f'Version: {tf.__version__}')\\\"\"}" } } ] }, { "role": "assistant", "content": "太好了！你有Homebrew。让我尝试使用Homebrew安装：", "timestamp": "2025-09-29T20:09:43.194302" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:43.202488", "tool_calls": [ { "id": "run_command:35", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"brew install tensorflow\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\\n[错误输出]\\nTraceback (most recent call last):\\n File \\\"\\\", line 1, in \\nModuleNotFoundError: No module named 'tensorflow'\\n\", \"stdout\": \"\", \"stderr\": \"Traceback (most recent call last):\\n File \\\"\\\", line 1, in \\nModuleNotFoundError: No module named 'tensorflow'\\n\", \"return_code\": 1, \"command\": \"python3 -c \\\"import tensorflow as tf; print(f'Version: {tf.__version__}')\\\"\"}", "timestamp": "2025-09-29T20:09:44.729170", "tool_call_id": "run_command:31", "name": "run_command" }, { "role": "assistant", "content": "**步骤4：尝试使用curl直接下载**", "timestamp": "2025-09-29T20:09:56.829643" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:09:56.839237", "tool_calls": [ { "id": "run_command:32", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"curl -L -o tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl \\\"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\" --progress-bar\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\\n[错误输出]\\ncurl: (6) Could not resolve host: files.python3hosted.org\\n\\n\", \"stdout\": \"\", \"stderr\": \"curl: (6) Could not resolve host: files.python3hosted.org\\n\\n\", \"return_code\": 6, \"command\": \"curl -L -o tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl \\\"https://files.python3hosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\" --progress-bar\"}", "timestamp": "2025-09-29T20:09:58.656313", "tool_call_id": "run_command:32", "name": "run_command" }, { "role": "assistant", "content": "看起来DNS解析有问题。让我尝试一个更直接的解决方案：\n\n### 🎯 方案8：使用现有文件和依赖安装\n\n**步骤1：尝试安装已有的依赖**", "timestamp": "2025-09-29T20:10:06.262072" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:06.269517", "tool_calls": [ { "id": "run_command:33", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install protobuf absl-py gast opt-einsum termcolor wrapt google-pasta astunparse flatbuffers typing-extensions\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: protobuf in /Users/jojo/Library/Python/3.9/lib/python/site-packages (5.28.3)\\nCollecting absl-py\\n Using cached absl_py-2.3.1-py3-none-any.whl.metadata (3.3 kB)\\nCollecting gast\\n Using cached gast-0.6.0-py3-none-any.whl.metadata (1.3 kB)\\nCollecting opt-einsum\\n Using cached opt_einsum-3.4.0-py3-none-any.whl.metadata (6.3 kB)\\nCollecting termcolor\\n Using cached termcolor-3.1.0-py3-none-any.whl.metadata (6.4 kB)\\nRequirement already satisfied: wrapt in /Users/jojo/Library/Python/3.9/lib/python/site-packages (1.17.0)\\nCollecting google-pasta\\n Using cached google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)\\nCollecting astunparse\\n Using cached astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)\\nCollecting flatbuffers\\n Using cached flatbuffers-25.9.23-py2.py3-none-any.whl.metadata (875 bytes)\\nRequirement already satisfied: typing-extensions in /Users/jojo/Library/Python/3.9/lib/python/site-packages (4.12.2)\\nRequirement already satisfied: six in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from google-pasta) (1.15.0)\\nRequirement already satisfied: wheel<1.0,>=0.23.0 in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from astunparse) (0.37.0)\\nUsing cached absl_py-2.3.1-py3-none-any.whl (135 kB)\\nUsing cached gast-0.6.0-py3-none-any.whl (21 kB)\\nUsing cached opt_einsum-3.4.0-py3-none-any.whl (71 kB)\\nUsing cached termcolor-3.1.0-py3-none-any.whl (7.7 kB)\\nUsing cached google_pasta-0.2.0-py3-none-any.whl (57 kB)\\nUsing cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\\nUsing cached flatbuffers-25.9.23-py2.py3-none-any.whl (30 kB)\\nInstalling collected packages: flatbuffers, termcolor, opt-einsum, google-pasta, gast, astunparse, absl-py\\n\\nSuccessfully installed absl-py-2.3.1 astunparse-1.6.3 flatbuffers-25.9.23 gast-0.6.0 google-pasta-0.2.0 opt-einsum-3.4.0 termcolor-3.1.0\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: protobuf in /Users/jojo/Library/Python/3.9/lib/python/site-packages (5.28.3)\\nCollecting absl-py\\n Using cached absl_py-2.3.1-py3-none-any.whl.metadata (3.3 kB)\\nCollecting gast\\n Using cached gast-0.6.0-py3-none-any.whl.metadata (1.3 kB)\\nCollecting opt-einsum\\n Using cached opt_einsum-3.4.0-py3-none-any.whl.metadata (6.3 kB)\\nCollecting termcolor\\n Using cached termcolor-3.1.0-py3-none-any.whl.metadata (6.4 kB)\\nRequirement already satisfied: wrapt in /Users/jojo/Library/Python/3.9/lib/python/site-packages (1.17.0)\\nCollecting google-pasta\\n Using cached google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)\\nCollecting astunparse\\n Using cached astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)\\nCollecting flatbuffers\\n Using cached flatbuffers-25.9.23-py2.py3-none-any.whl.metadata (875 bytes)\\nRequirement already satisfied: typing-extensions in /Users/jojo/Library/Python/3.9/lib/python/site-packages (4.12.2)\\nRequirement already satisfied: six in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from google-pasta) (1.15.0)\\nRequirement already satisfied: wheel<1.0,>=0.23.0 in /Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from astunparse) (0.37.0)\\nUsing cached absl_py-2.3.1-py3-none-any.whl (135 kB)\\nUsing cached gast-0.6.0-py3-none-any.whl (21 kB)\\nUsing cached opt_einsum-3.4.0-py3-none-any.whl (71 kB)\\nUsing cached termcolor-3.1.0-py3-none-any.whl (7.7 kB)\\nUsing cached google_pasta-0.2.0-py3-none-any.whl (57 kB)\\nUsing cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\\nUsing cached flatbuffers-25.9.23-py2.py3-none-any.whl (30 kB)\\nInstalling collected packages: flatbuffers, termcolor, opt-einsum, google-pasta, gast, astunparse, absl-py\\n\\nSuccessfully installed absl-py-2.3.1 astunparse-1.6.3 flatbuffers-25.9.23 gast-0.6.0 google-pasta-0.2.0 opt-einsum-3.4.0 termcolor-3.1.0\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install protobuf absl-py gast opt-einsum termcolor wrapt google-pasta astunparse flatbuffers typing-extensions\"}", "timestamp": "2025-09-29T20:10:10.243647", "tool_call_id": "run_command:33", "name": "run_command" }, { "role": "tool", "content": "{\"success\": false, \"error\": \"命令执行超时 (30秒)\", \"output\": \"\", \"return_code\": -1}", "timestamp": "2025-09-29T20:10:13.558112", "tool_call_id": "run_command:35", "name": "run_command" }, { "role": "assistant", "content": "很好！依赖包安装成功。现在让我尝试一个更简单的TensorFlow安装方法：\n\n**步骤2：尝试安装轻量级TensorFlow**", "timestamp": "2025-09-29T20:10:18.562032" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:18.569625", "tool_calls": [ { "id": "run_command:34", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install tensorflow-cpu --no-deps\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\n\\n[错误输出]\\nERROR: Could not find a version that satisfies the requirement tensorflow-cpu (from versions: none)\\nERROR: No matching distribution found for tensorflow-cpu\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\n\", \"stderr\": \"ERROR: Could not find a version that satisfies the requirement tensorflow-cpu (from versions: none)\\nERROR: No matching distribution found for tensorflow-cpu\\n\", \"return_code\": 1, \"command\": \"python3 -m pip install tensorflow-cpu --no-deps\"}", "timestamp": "2025-09-29T20:10:20.384496", "tool_call_id": "run_command:34", "name": "run_command" }, { "role": "assistant", "content": "**步骤3：尝试从缓存安装**\n\n让我检查pip缓存中是否有TensorFlow：", "timestamp": "2025-09-29T20:10:27.589168" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:27.596985", "tool_calls": [ { "id": "run_command:35", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip cache list tensorflow\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"No locally built wheels cached.\\n\", \"stdout\": \"No locally built wheels cached.\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip cache list tensorflow\"}", "timestamp": "2025-09-29T20:10:29.412629", "tool_call_id": "run_command:35", "name": "run_command" }, { "role": "assistant", "content": "### 📋 方案C：创建简单的安装指南\n\n让我为你创建一个完整的安装指南：", "timestamp": "2025-09-29T20:10:50.047969" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:50.056840", "tool_calls": [ { "id": "create_file:36", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"TENSORFLOW_INSTALLATION_GUIDE.md\", \"file_type\": \"md\", \"content\": \"# TensorFlow安装指南 - Apple Silicon Mac\\n\\n## 系统信息\\n- **设备**: Apple Silicon Mac (ARM64)\\n- **Python版本**: 3.9.6\\n- **macOS版本**: 15.6.1\\n- **pip版本**: 25.2\\n\\n## 安装方法\\n\\n### 方法1: 手动下载安装（推荐）\\n\\n#### 步骤1: 下载TensorFlow\\n由于网络连接问题，建议手动下载：\\n\\n1. 打开浏览器访问：https://pypi.org/project/tensorflow-macos/#files\\n2. 找到文件：`tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl`\\n3. 点击下载（文件大小约200MB）\\n4. 将下载的文件移动到项目目录\\n\\n#### 步骤2: 本地安装\\n```bash\\npython3 -m pip install tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n```\\n\\n#### 步骤3: 安装依赖（如果需要）\\n```bash\\npython3 -m pip install tensorflow-metal # GPU加速支持\\n```\\n\\n### 方法2: 使用Homebrew\\n如果你有Homebrew，可以尝试：\\n```bash\\nbrew install tensorflow\\n```\\n\\n### 方法3: 使用conda环境（推荐长期方案）\\n```bash\\n# 安装Miniforge（适用于Apple Silicon）\\ncurl -L -O https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh\\nbash Miniforge3-MacOSX-arm64.sh\\n\\n# 创建新环境并安装TensorFlow\\nconda create -n tensorflow python=3.9\\nconda activate tensorflow\\nconda install tensorflow\\n```\\n\\n## 验证安装\\n\\n安装完成后，运行以下测试：\\n\\n```python\\nimport tensorflow as tf\\n\\nprint(f\\\"TensorFlow版本: {tf.__version__}\\\")\\nprint(f\\\"GPU可用: {tf.config.list_physical_devices('GPU')}\\\")\\n\\n# 简单计算测试\\na = tf.constant([1, 2, 3])\\nb = tf.constant([4, 5, 6])\\nc = tf.add(a, b)\\nprint(f\\\"计算测试: {a} + {b} = {c}\\\")\\n```\\n\\n## 常见问题解决\\n\\n### 1. SSL证书错误\\n```bash\\npython3 -m pip install tensorflow --trusted-host pypi.org --trusted-host files.pythonhosted.org\\n```\\n\\n### 2. 网络超时\\n- 使用VPN或代理\\n- 手动下载wheel文件\\n- 使用国内镜像源（如豆瓣、阿里云）\\n\\n### 3. 权限问题\\n```bash\\npython3 -m pip install --user tensorflow # 用户安装\\n```\\n\\n### 4. 依赖冲突\\n```bash\\npython3 -m pip install --upgrade pip\\npython3 -m pip install --force-reinstall tensorflow\\n```\\n\\n## 成功标志\\n✅ 导入无错误\\n✅ 版本号正确显示\\n✅ 基本计算测试通过\\n✅ GPU设备检测（可选）\\n\\n## 下一步\\n安装成功后，你可以：\\n1. 运行机器学习项目\\n2. 使用预训练模型\\n3. 训练自己的模型\\n\\n需要帮助？随时联系我！\", \"annotation\": \"TensorFlow安装指南，专门针对Apple Silicon Mac\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"TENSORFLOW_INSTALLATION_GUIDE.md\", \"size\": 1739}", "timestamp": "2025-09-29T20:10:51.884660", "tool_call_id": "create_file:36", "name": "create_file" }, { "role": "assistant", "content": "**步骤4：创建最终解决方案**\n\n既然网络下载持续失败，让我给你一个完整的**手动安装指南**：\n\n## 📋 TensorFlow手动安装完整指南\n\n### 🎯 方案：完全手动安装\n\n**步骤1：手动下载文件**\n\n由于网络限制，你需要手动下载以下文件：\n\n1. **主TensorFlow包**（~200MB）：\n ```\n https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\n ```\n\n2. **Metal插件**（GPU支持，~2MB）：\n ```\n https://files.pythonhosted.org/packages/...\n ```\n\n**步骤2：下载方法**\n\n由于你的网络环境限制，建议：\n\n1. **使用其他网络**（手机热点、VPN等）\n2. **在其他电脑下载**后拷贝过来\n3. **使用下载工具**（如迅雷、IDM等）\n\n**步骤3：安装命令**\n\n下载完成后，在文件所在目录运行：", "timestamp": "2025-09-29T20:10:55.100452" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:55.108978", "tool_calls": [ { "id": "create_file:36", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"manual_install.sh\", \"file_type\": \"txt\", \"content\": \"#!/bin/bash\\n# TensorFlow手动安装脚本\\n\\necho \\\"🚀 TensorFlow手动安装\\\"\\necho \\\"==================\\\"\\n\\n# 检查文件是否存在\\nif [ ! -f \\\"tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\" ]; then\\n echo \\\"❌ 主文件不存在，请先下载:\\\"\\n echo \\\"https://files.pythonhosted.org/packages/2d/36/9d3b1ec3bcaffa03e8eaecfefed0419807c16d2b53f3f5bb330d3538408c/tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\\"\\n exit 1\\nfi\\n\\necho \\\"📦 安装TensorFlow...\\\"\\npython3 -m pip install tensorflow_macos-2.16.2-cp39-cp39-macosx_12_0_arm64.whl\\n\\nif [ $? -eq 0 ]; then\\n echo \\\"✅ TensorFlow安装成功！\\\"\\n \\n echo \\\"🔍 验证安装...\\\"\\n python3 -c \\\"import tensorflow as tf; print(f'TensorFlow版本: {tf.__version__}')\\\"\\n \\n if [ $? -eq 0 ]; then\\n echo \\\"🎉 安装验证成功！\\\"\\n else\\n echo \\\"⚠️ 安装成功但验证失败，可能需要重启终端\\\"\\n fi\\nelse\\n echo \\\"❌ TensorFlow安装失败\\\"\\nfi\", \"annotation\": \"TensorFlow手动安装shell脚本\"}" } } ] }, { "role": "assistant", "content": "现在让我创建一个简单的测试脚本，验证我们是否可以安装一些基础依赖：", "timestamp": "2025-09-29T20:10:56.447436" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:10:56.453130", "tool_calls": [ { "id": "run_command:37", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install --no-deps tensorflow-macos\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"manual_install.sh\", \"size\": 795}", "timestamp": "2025-09-29T20:10:56.927128", "tool_call_id": "create_file:36", "name": "create_file" }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: tensorflow-macos in /Users/jojo/Library/Python/3.9/lib/python/site-packages (2.16.2)\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nRequirement already satisfied: tensorflow-macos in /Users/jojo/Library/Python/3.9/lib/python/site-packages (2.16.2)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip install --no-deps tensorflow-macos\"}", "timestamp": "2025-09-29T20:10:58.265773", "tool_call_id": "run_command:37", "name": "run_command" }, { "role": "assistant", "content": "太好了！tensorflow-macos已经安装成功（之前安装的）。现在让我验证一下：", "timestamp": "2025-09-29T20:11:08.454433" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:11:08.463537", "tool_calls": [ { "id": "run_python:38", "index": 0, "type": "function", "function": { "name": "run_python", "arguments": "{\"code\": \"import tensorflow as tf\\nprint(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\nprint(f\\\"✅ TensorFlow路径: {tf.__file__}\\\")\\n\\n# 简单测试\\nprint(\\\"\\\\n🧪 运行基本测试...\\\")\\ntry:\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"✅ 计算测试: {a.numpy()} + {b.numpy()} = {c.numpy()}\\\")\\n \\n # 检查GPU\\n print(f\\\"\\\\n🔍 可用设备:\\\")\\n print(f\\\"CPU: {tf.config.list_physical_devices('CPU')}\\\")\\n print(f\\\"GPU: {tf.config.list_physical_devices('GPU')}\\\")\\n \\n print(\\\"\\\\n🎉 TensorFlow安装成功并正常工作！\\\")\\n \\nexcept Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"output\": \"\\n[错误输出]\\nTraceback (most recent call last):\\n File \\\"/Users/jojo/Desktop/agent_kimi_源码备份/project/.temp_code.py\\\", line 1, in \\n import tensorflow as tf\\nModuleNotFoundError: No module named 'tensorflow'\\n\", \"stdout\": \"\", \"stderr\": \"Traceback (most recent call last):\\n File \\\"/Users/jojo/Desktop/agent_kimi_源码备份/project/.temp_code.py\\\", line 1, in \\n import tensorflow as tf\\nModuleNotFoundError: No module named 'tensorflow'\\n\", \"return_code\": 1, \"command\": \"python3 \\\"/Users/jojo/Desktop/agent_kimi_源码备份/project/.temp_code.py\\\"\", \"code\": \"import tensorflow as tf\\nprint(f\\\"✅ TensorFlow版本: {tf.__version__}\\\")\\nprint(f\\\"✅ TensorFlow路径: {tf.__file__}\\\")\\n\\n# 简单测试\\nprint(\\\"\\\\n🧪 运行基本测试...\\\")\\ntry:\\n a = tf.constant([1, 2, 3])\\n b = tf.constant([4, 5, 6])\\n c = tf.add(a, b)\\n print(f\\\"✅ 计算测试: {a.numpy()} + {b.numpy()} = {c.numpy()}\\\")\\n \\n # 检查GPU\\n print(f\\\"\\\\n🔍 可用设备:\\\")\\n print(f\\\"CPU: {tf.config.list_physical_devices('CPU')}\\\")\\n print(f\\\"GPU: {tf.config.list_physical_devices('GPU')}\\\")\\n \\n print(\\\"\\\\n🎉 TensorFlow安装成功并正常工作！\\\")\\n \\nexcept Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\"}", "timestamp": "2025-09-29T20:11:10.278414", "tool_call_id": "run_python:38", "name": "run_python" }, { "role": "assistant", "content": "看起来虽然包显示已安装，但导入失败。让我检查实际的安装情况：", "timestamp": "2025-09-29T20:11:14.147058" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:11:14.155697", "tool_calls": [ { "id": "run_command:39", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -c \\\"import sys; print('Python路径:', sys.executable); print('Python版本:', sys.version_info)\\\"\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Python路径: /Applications/Xcode.app/Contents/Developer/usr/bin/python3\\nPython版本: sys.version_info(major=3, minor=9, micro=6, releaselevel='final', serial=0)\\n\", \"stdout\": \"Python路径: /Applications/Xcode.app/Contents/Developer/usr/bin/python3\\nPython版本: sys.version_info(major=3, minor=9, micro=6, releaselevel='final', serial=0)\\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -c \\\"import sys; print('Python路径:', sys.executable); print('Python版本:', sys.version_info)\\\"\"}", "timestamp": "2025-09-29T20:11:15.969861", "tool_call_id": "run_command:39", "name": "run_command" }, { "role": "assistant", "content": "**步骤4：创建验证脚本**", "timestamp": "2025-09-29T20:11:17.148227" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:11:17.156960", "tool_calls": [ { "id": "create_file:37", "index": 0, "type": "function", "function": { "name": "create_file", "arguments": "{\"path\": \"verify_tensorflow.py\", \"file_type\": \"py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTensorFlow安装验证脚本\\n\\\"\\\"\\\"\\n\\ndef test_tensorflow():\\n \\\"\\\"\\\"测试TensorFlow功能\\\"\\\"\\\"\\n print(\\\"🔍 TensorFlow安装验证\\\")\\n print(\\\"=\\\" * 30)\\n \\n try:\\n import tensorflow as tf\\n print(f\\\"✅ TensorFlow导入成功\\\")\\n print(f\\\"✅ 版本: {tf.__version__}\\\")\\n print(f\\\"✅ 安装路径: {tf.__file__}\\\")\\n \\n # 检查GPU支持\\n print(f\\\"✅ GPU设备: {tf.config.list_physical_devices('GPU')}\\\")\\n \\n # 简单计算测试\\n print(\\\"\\\\n🧪 运行计算测试...\\\")\\n a = tf.constant([1, 2, 3, 4, 5])\\n b = tf.constant([10, 20, 30, 40, 50])\\n c = tf.add(a, b)\\n \\n print(f\\\"计算测试: {a} + {b} = {c}\\\")\\n print(f\\\"结果: {c.numpy()}\\\")\\n \\n # 简单模型测试\\n print(\\\"\\\\n🧪 运行模型测试...\\\")\\n model = tf.keras.Sequential([\\n tf.keras.layers.Dense(10, activation='relu', input_shape=(5,)),\\n tf.keras.layers.Dense(1)\\n ])\\n \\n test_input = tf.random.normal((1, 5))\\n output = model(test_input)\\n print(f\\\"模型测试通过，输入形状: {test_input.shape}, 输出形状: {output.shape}\\\")\\n \\n print(\\\"\\\\n🎉 所有测试通过！TensorFlow工作正常！\\\")\\n return True\\n \\n except ImportError as e:\\n print(f\\\"❌ TensorFlow导入失败: {e}\\\")\\n print(\\\"💡 请确保TensorFlow已正确安装\\\")\\n return False\\n except Exception as e:\\n print(f\\\"❌ 测试失败: {e}\\\")\\n return False\\n\\nif __name__ == \\\"__main__\\\":\\n test_tensorflow()\", \"annotation\": \"TensorFlow验证脚本\"}" } } ] }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:11:18.687056", "tool_calls": [ { "id": "run_command:40", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip show tensorflow-macos\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"path\": \"verify_tensorflow.py\", \"size\": 1374}", "timestamp": "2025-09-29T20:11:18.989030", "tool_call_id": "create_file:37", "name": "create_file" }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Name: tensorflow-macos\\nVersion: 2.16.2\\nSummary: TensorFlow is an open source machine learning framework for everyone.\\nHome-page: https://www.tensorflow.org/\\nAuthor: Google Inc.\\nAuthor-email: packages@tensorflow.org\\nLicense: Apache 2.0\\nLocation: /Users/jojo/Library/Python/3.9/lib/python/site-packages\\nRequires: tensorflow\\nRequired-by: \\n\", \"stdout\": \"Name: tensorflow-macos\\nVersion: 2.16.2\\nSummary: TensorFlow is an open source machine learning framework for everyone.\\nHome-page: https://www.tensorflow.org/\\nAuthor: Google Inc.\\nAuthor-email: packages@tensorflow.org\\nLicense: Apache 2.0\\nLocation: /Users/jojo/Library/Python/3.9/lib/python/site-packages\\nRequires: tensorflow\\nRequired-by: \\n\", \"stderr\": \"\", \"return_code\": 0, \"command\": \"python3 -m pip show tensorflow-macos\"}", "timestamp": "2025-09-29T20:11:20.498197", "tool_call_id": "run_command:40", "name": "run_command" }, { "role": "assistant", "content": "我发现了问题！`tensorflow-macos`需要标准的`tensorflow`包。让我安装缺失的依赖：", "timestamp": "2025-09-29T20:11:24.150914" }, { "role": "assistant", "content": "", "timestamp": "2025-09-29T20:11:24.161185", "tool_calls": [ { "id": "run_command:41", "index": 0, "type": "function", "function": { "name": "run_command", "arguments": "{\"command\": \"python3 -m pip install --no-deps tensorflow\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"output\": \"Defaulting to user installation because normal site-packages is not writeable\\nCollecting tensorflow\\n Using cached tensorflow-2.20.0-cp39-cp39-macosx_12_0_arm64.whl.metadata (4.5 kB)\\nDownloading tensorflow-2.20.0-cp39-cp39-macosx_12_0_arm64.whl (200.4 MB)\\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.4/200.4 MB 11.3 MB/s 0:00:17\\nInstalling collected packages: tensorflow\\nSuccessfully installed tensorflow-2.20.0\\n\\n[错误输出]\\n WARNING: The scripts import_pb_to_tensorboard, saved_model_cli, tensorboard, tf_upgrade_v2, tflite_convert and toco are installed in '/Users/jojo/Library/Python/3.9/bin' which is not on PATH.\\n Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\\n\", \"stdout\": \"Defaulting to user installation because normal site-packages is not writeable\\nCollecting tensorflow\\n Using cached tensorflow-2.20.0-cp39-cp39-macosx_12_0_arm64.whl.metadata (4.5 kB)\\nDownloading tensorflow-2.20.0-cp39-cp39-macosx_12_0_arm64.whl (200.4 MB)\\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.4/200.4 MB 11.3 MB/s 0:00:17\\nInstalling collected packages: tensorflow\\nSuccessfully installed tensorflow-2.20.0\\n\", \"stderr\": \" WARNING: The scripts import_pb_to_tensorboard, saved_model_cli, tensorboard, tf_upgrade_v2, tflite_convert and toco are installed in '/Users/jojo/Library/Python/3.9/bin' which is not on PATH.\\n Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\\n\", \"return_code\": 0, \"command\": \"python3 -m pip install --no-deps tensorflow\"}", "timestamp": "2025-09-29T20:11:48.222600", "tool_call_id": "run_command:41", "name": "run_command" } ], "metadata": { "project_path": "/Users/jojo/Desktop/agent_kimi_源码备份/project", "thinking_mode": true, "total_messages": 193, "total_tools": 125, "status": "active" }, "token_statistics": { "total_input_tokens": 1346321, "total_output_tokens": 17120, "updated_at": "2025-09-29T20:11:56.539801" } }