TensorFlow Model Optimization Toolkit 可以通过 pip 或 conda 进行安装。 TensorFlow Model Optimization Toolkit 是一个用于优化 TensorFlow 模型的工具集合,支持权重量化和剪枝等技术。以下是安装步骤: 使用pip 安装 确保已安装 Python 和 pip: TensorFlow Model Optimization Toolkit 支持 Python 3.7 及以上版本。 安装...
command:'C:\Users\3X\AppData\Local\conda\conda\envs\tensorflow2.4\python.exe'-u -c'import io, os, sys, setuptools, tokenize; sys.argv[0] ='"'"'C:\\Users\\3X\\AppData\\Local\\Temp\\pip-install-wg5_zdzq\\dm-tree_2250c30b0b364a60afbf3cfdd7265f05\\setup.py'"'"'; __file__...
pip_pkg.sh Update release notes and version for TFMOT release 0.8.0. Feb 8, 2024 requirements.txt Permit tensorflow_model_optimization to use absl-py 2 May 3, 2024 setup.py Add required packages to setup.py to match requirements.txt ...
pip uninstall -yq tensorflow pip uninstall -yq tf-nightly pip install -Uq tf-nightly-gpu pip install -q tensorflow-model-optimization Then you can load your previous trained model and make it "prunable". The Keras-based API can be applied at the level of individual layers, or the enti...
Pip/GitHub GitHub What version/branch did you use? No response Configuration YAML model:class_path:anomalib.models.Patchcoreinit_args:backbone:wide_resnet50_2layers: -layer2-layer3pre_trained:truecoreset_sampling_ratio:0.1num_neighbors:9