A GPT, made only of MLPs, in Jax

Related tags

Deep Learningdeep-learningartificial-intelligencelanguage-modelmultilayer-perceptronjax
Overview

MLP GPT - Jax (wip)

A GPT, made only of MLPs, in Jax. The specific MLP to be used are gMLPs with the Spatial Gating Units.

Working Pytorch implementation

Install

$ pip install mlp-gpt-jax

Usage

from jax import random, numpy as np
from mlp_gpt_jax import MLPGpt

gpt = MLPGpt(
    num_tokens = 20000,
    dim = 512,
    depth = 6,
    seq_len = 512
)

key    = random.PRNGKey(0)
seq    = random.randint(key, (512,), 0, 20000)

params = gpt.init(key, seq)
logits = gpt.apply(params, seq) # (512, 20000)

Citations

@misc{liu2021pay,
    title   = {Pay Attention to MLPs}, 
    author  = {Hanxiao Liu and Zihang Dai and David R. So and Quoc V. Le},
    year    = {2021},
    eprint  = {2105.08050},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}
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Comments
  • mistake in parameter initialization

    mistake in parameter initialization

    floor division will always return 0 :(

    https://github.com/lucidrains/mlp-gpt-jax/blob/c8a6d7738562e44d3c0b3018c83ae577f7931e78/mlp_gpt_jax/mlp_gpt_jax.py#L75

    opened by guyd1995 1
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Working with Attention
Phil Wang
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