9 篇文章带有标签 “conda”

conda create -n reachy-mini python=3.10.9 -y
conda activate reachy-mini

pip install reachy-mini[mujoco]

• AutoTrain Advanced
• AutoTrain Quickstart

安装

macOS

conda create -n autotrain python=3.10
conda activate autotrain
pip install autotrain-advanced
conda install pytorch torchvision torchaudio -c pytorch
pip install numpy==1.26.0
export HF_TOKEN=xxx
autotrain app --port 8080 --host 127.0.0.1

浏览器打开 http://127.0.0.1:8080/ui/ 以查看 AutoTrain 的界面。

Seamless Communication

• ASR: Automatic speech recognition for 96 languages.
• S2ST: Speech-to-Speech translation from 100 source speech languages into 35 target speech languages.
• S2TT: Speech-to-text translation from 100 source speech languages into 95 target text languages.
• T2ST: Text-to-Speech translation from 95 source text languages into 35 target speech languages.
• T2TT: Text-to-text translation (MT) from 95 source text languages into 95 target text languages.

SeamlessM4T 概述

安装 [Seamless Communication][seamless_communication]

克隆仓库 git clone https://github.

共享软件包缓存的好处是，一旦用户已经下载了软件包的特定版本，它将不会再次下载并存储在单独的缓存中。这节省了磁盘使用量并加快了安装速度，因为它不需要再次下载软件包。

Conda 查看 Conda 当前环境的信息 conda info active environment : base active env location : /opt/miniconda shell level : 1 user config file : /Users/junjian/.condarc populated config files : conda version : 23.3.1 conda-build version : not installed python version : 3.10.9.final.0 virtual packages : __archspec=1=arm64 __osx=13.2.1=0 __unix=0=0 base environment : /opt/miniconda (writable) conda av data dir : /opt/miniconda/etc/conda conda av metadata url : None channel URLs : https://repo.anaconda.

准备音频文件

macOS 上打开 QuickTimePlayer

1. [文件] -> [新建音频录制]
2. 录制
3. 朗读：荷兰发布了一份主题为“宣布即将对先进半导体制造设备采取的出口管制措施”的公告表示，鉴于技术的发展和地缘政治的背景，政府已经得出结论，有必要扩大现有的特定半导体制造设备的出口管制。
4. 停止
5. 保存(test.m4a)

• 荷兰限制部分型号光刻机出口 中国市场影响几何

m4a 转换 wav

ffmpeg -i test.m4a -ar 16000 -ac 1 -c:a pcm_s16le test.wav

OpenAI Whisper

创建虚拟环境

conda create --name whisper python
conda activate whisper

安装

pip install --upgrade --no-deps --force-reinstall git+https://github.com/openai/whisper.git

wget https://raw.githubusercontent.com/openai/whisper/main/requirements.txt
pip install -r requirements.txt

测试 模型默认保存在 ~/.cache/whisper ls ~/.cache/whisper base.pt large-v2.

安装 OpenVINO（手动编译）

brew install cmake
brew install automake
brew install --build-from-source libtool
brew install --build-from-source libunistring
brew install --build-from-source libidn2
brew install --build-from-source wget
brew install --build-from-source libusb

sudo conda install scons -y                                                                        

# 克隆时把依赖的子模块进行克隆（先克隆OpenVINO，再进行子模块克隆失败）
git clone --depth 1 --recurse-submodules https://github.com/openvinotoolkit/openvino.git

cd openvino
python3 -m pip install -r src/bindings/python/wheel/requirements-dev.txt

# 安装OpenCV（可选）
sudo conda install -c conda-forge opencv

mkdir build && cd build

# 配置（-DOPENVINO_EXTRA_MODULES=../openvino_contrib/modules/arm_plugin 好像不需要）
cmake -DCMAKE_BUILD_TYPE=Release ..

# 编译
cmake --build . --config Release --parallel $(sysctl -n hw.ncpu)
**没有生成 wheel**

# 安装
sudo mkdir /opt/openvino
sudo cmake -DCMAKE_INSTALL_PREFIX=/opt/openvino -P cmake_install.cmake

# 查看可用设备
./bin/arm64/Release/hello_query_device 
[ INFO ] Build ................................. 2023.0.0-1-b300df1be6c
[ INFO ] 
[ INFO ] Available devices: 
[ INFO ] CPU
[ INFO ] 	SUPPORTED_PROPERTIES: 
[ INFO ] 		Immutable: SUPPORTED_METRICS : SUPPORTED_METRICS SUPPORTED_CONFIG_KEYS RANGE_FOR_ASYNC_INFER_REQUESTS RANGE_FOR_STREAMS
[ INFO ] 		Immutable: SUPPORTED_CONFIG_KEYS : LP_TRANSFORMS_MODE DUMP_GRAPH PERF_COUNT CPU_THROUGHPUT_STREAMS CPU_BIND_THREAD CPU_THREADS_NUM CPU_THREADS_PER_STREAM BIG_CORE_STREAMS SMALL_CORE_STREAMS THREADS_PER_STREAM_BIG THREADS_PER_STREAM_SMALL SMALL_CORE_OFFSET ENABLE_HYPER_THREAD NUM_STREAMS INFERENCE_NUM_THREADS AFFINITY
[ INFO ] 		Mutable: PERF_COUNT : YES
[ INFO ] 		Immutable: AVAILABLE_DEVICES : NEON
[ INFO ] 		Immutable: FULL_DEVICE_NAME : arm_compute::NEON
[ INFO ] 		Immutable: OPTIMIZATION_CAPABILITIES : FP16 FP32
[ INFO ] 		Immutable: RANGE_FOR_ASYNC_INFER_REQUESTS : 1 12 1
[ INFO ] 		Mutable: PERFORMANCE_HINT : ""
[ INFO ] 		Immutable: RANGE_FOR_STREAMS : 1 12
[ INFO ] 		Mutable: CPU_THROUGHPUT_STREAMS : 1
[ INFO ] 		Mutable: CPU_BIND_THREAD : NO
[ INFO ] 		Mutable: CPU_THREADS_NUM : 0
[ INFO ] 		Mutable: CPU_THREADS_PER_STREAM : 12
[ INFO ] 		Mutable: BIG_CORE_STREAMS : 0
[ INFO ] 		Mutable: SMALL_CORE_STREAMS : 0
[ INFO ] 		Mutable: THREADS_PER_STREAM_BIG : 0
[ INFO ] 		Mutable: THREADS_PER_STREAM_SMALL : 0
[ INFO ] 		Mutable: SMALL_CORE_OFFSET : 0
[ INFO ] 		Mutable: ENABLE_HYPER_THREAD : YES
[ INFO ] 		Mutable: NUM_STREAMS : 1
[ INFO ] 		Mutable: INFERENCE_NUM_THREADS : 0
[ INFO ] 		Mutable: AFFINITY : NONE
[ INFO ] 

安装 PyTorch

sudo conda create --name pytorch python
conda activate pytorch

conda install pytorch torchvision torchaudio -c pytorch

安装每日构建版本

pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu

升级

pip3 install --upgrade --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu

训练模型 import torch import torchvision import torchvision.transforms as transforms print(f"PyTorch version: {torch.

安装 TensorFlow

sudo conda create --name tensorflow python
conda activate tensorflow

# 不指定环境(-n)，默认安装到base环境
sudo conda install -c apple -n tensorflow tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal
sudo conda install notebook -y

pip install numpy  --upgrade
pip install pandas  --upgrade
pip install matplotlib  --upgrade
pip install scikit-learn  --upgrade
pip install scipy  --upgrade
pip install plotly  --upgrade

验证 import sys import tensorflow.keras import tensorflow as tf import platform print(f"Python Platform: {platform.

今天预订的 MacBook Pro M2Max 16寸 顶配 64G内存 2T硬盘到了，¥36097 。

硬件信息

芯片、内存

system_profiler SPHardwareDataType | head -n 9
Hardware:

    Hardware Overview:

      Model Name: MacBook Pro
      Model Identifier: Mac14,6
      Model Number: XXXXXXXXXXXX
      Chip: Apple M2 Max
      Total Number of Cores: 12 (8 performance and 4 efficiency)
      Memory: 64 GB

硬盘

system_profiler SPStorageDataType | head -n 8
Storage:

    Macintosh HD:

      Free: 1.37 TB (1,372,357,345,280 bytes)
      Capacity: 2 TB (1,995,218,165,760 bytes)
      Mount Point: /System/Volumes/Update/mnt1
      File System: APFS

更改主机名

sudo scutil --set HostName MBP

hostname
MBP

HomeBrew 安装 /bin/bash -c "$(