TensorArtist

How-to-use

1. Install tensorflow, version v1.0 is required.
2. Set some environs:

export PATH=PATH_TO_TENSOR_ARTIST/bin:$PATH
export TART_DIR_DATA=PATH_TO_DATA_DIR
export TART_DIR_DUMP=PATH_TO_DUMP_DIR

3. Goto examples/xxx and run: tart-train desc_xxx.py -d cpu

Design Philosophy

1. All experiments description contained in a single file.
2. All parameters stored in global storage, called “core.Environ”
3. All training/testing process based on a container, called “nn.Env”

A good example is better than a thousand-line documentation, feel free to check examples/ to see how it works.

Thanks:

Contributors:

• Honghua Dong @dhh1995

And other open-source framework authors, including:

• Tensorpack(https://github.com/ppwwyyxx/tensorpack) by Yuxin Wu @ppwwyyxx