Felix Yu flyyufelix

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	import re
	import torch
	from datasets import load_dataset, Dataset
	from transformers import AutoTokenizer, AutoModelForCausalLM
	from peft import LoraConfig
	from trl import GRPOConfig, GRPOTrainer

	import numpy as np
	from keras.layers import GRU, initializations, K
	from collections import OrderedDict

	class GRULN(GRU):
	'''Gated Recurrent Unit with Layer Normalization
	Current impelemtation only works with consume_less = 'gpu' which is already
	set.

	# Arguments