Implementation:Zai org CogVideo Captioning Requirements Install

Attribute	Value
Implementation Name	Captioning Requirements Install
Workflow	Video Captioning
Step	1 of 5
Type	External Tool Doc
Source File	tools/caption/requirements.txt:L1-23
Repository	zai-org/CogVideo
Last Updated	2026-02-10 00:00 GMT

Overview

Implementation of the environment setup for the video captioning pipeline. Dependencies are specified in a requirements.txt file and installed via pip.

Description

The requirements file specifies all Python packages needed for the captioning workflow:

• transformers: HuggingFace model loading and tokenization
• torch: Tensor computation and GPU acceleration
• decord: Efficient video frame extraction
• numpy: Numerical array operations
• accelerate: Model loading and device management
• sentencepiece: Tokenizer backend for Llama3
• xformers (optional): Memory-efficient attention for reduced GPU memory

The installation command installs all dependencies in a single pip invocation.

Usage

pip install -r tools/caption/requirements.txt

Code Reference

Source Location

File	Lines	Description
tools/caption/requirements.txt	L1-23	Package dependency list

Signature

pip install -r tools/caption/requirements.txt

Import

Not applicable (installation command).

I/O Contract

Inputs

Parameter	Type	Default	Description
requirements.txt	File	Required	Dependency specification file at tools/caption/requirements.txt

Outputs

Output	Type	Description
Side effect	Installed packages	All required Python packages installed in the current environment

Usage Examples

Example 1: Standard installation

cd /path/to/CogVideo
pip install -r tools/caption/requirements.txt

Example 2: Installation in a virtual environment

python -m venv caption_env
source caption_env/bin/activate
pip install -r tools/caption/requirements.txt

Example 3: Installation with optional xformers

pip install -r tools/caption/requirements.txt
pip install xformers  # Optional, for memory-efficient attention

Example 4: Verify installation

import torch
import decord
import transformers
import sentencepiece

print(f"torch: {torch.__version__}")
print(f"CUDA available: {torch.cuda.is_available()}")
print(f"bfloat16 supported: {torch.cuda.is_bf16_supported()}")

Related Pages

• Principle:Zai_org_CogVideo_Captioning_Environment_Setup -- Principle governing captioning environment setup
• Environment:Zai_org_CogVideo_Video_Captioning_Environment
• Zai_org_CogVideo_CogVLM2_Model_Loading -- Next step: loading the model using the installed packages
• Zai_org_CogVideo_Caption_Load_Video -- Frame extraction using the installed decord package