yuekaizhang

#!/bin/bash
# Install Claude Code's native binary into a custom directory instead of $HOME.
#
# Why: the official installer (curl -fsSL https://claude.ai/install.sh | bash)
# and the `claude install` subcommand it execs both hardcode:
#   ~/.local/bin/claude              (launcher)
#   ~/.local/share/claude/versions/  (actual binaries, for auto-update)
#   ~/.claude/                       (config/state, unless CLAUDE_CONFIG_DIR is set)
# There is no supported flag to relocate these (checked against the official
# docs). The trick: override $HOME just for the install step so everything

yuekaizhang

UI-TARS 本地部署

环境

# 先配置 ngc key, passwd is your ngc key
docker login nvcr.io
docker pull nvcr.io/nvidia/tritonserver:25.02-vllm-python-py3
docker run -it --gpus all --name "ui-tars" --net host nvcr.io/nvidia/tritonserver:25.02-vllm-python-py3

yuekaizhang

#!/usr/bin/env python3
# Generation Command: polygraphy run --gen test.py my_define_network.py --trt --fp16 --load-inputs inputs.json --load-outputs layerwise_golden.json --check-error-stat median --atol 0.1 --rtol 0.1
# It will check against outputs stored in layerwise_golden.json

from polygraphy.logger import G_LOGGER

from polygraphy import func
from polygraphy.backend.trt import NetworkFromOnnxPath
import tensorrt as trt
from polygraphy import util