NaNoGenMo 2019 - GPT-2 Edition: Difference between revisions
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[The Basics] | [The Basics] | ||
My goal this year was to take some random text, character, and location generators and build a basic recursive quest engine. | |||
Let's unpack that. All I want for now is: | |||
* locations - a small network of places, with the ability for characters to travel between them | |||
* characters - a recurring finite set of characters who travel between the locations and interact when they're in the same place | |||
** stretch goal - interact when they're passing one another! | |||
* recursive - the idea is that we have a world... it has, say, cities, within cities are places (inns, bars, markets), within those may be rooms... or maybe our recursion is deep enough at two levels | |||
Eh, maybe that's even too much. I work a super lot and in eight days of November so far all I've done is written those bullets. But let's see what's out there... | |||
[[[progress...]]] | |||
So there are some good generators out there that sort of start to do what I want. I may just daisy chain them together... listed a few below. | |||
[Local laptop] | |||
[[gpt-2]] | |||
This: https://openai.com/blog/better-language-models/ | This: https://openai.com/blog/better-language-models/ | ||
Made this: https://github.com/openai/gpt-2 | Made this: https://github.com/openai/gpt-2 | ||
Which made this: https://colab.research.google.com/drive/1gB03iSnshYcSzSCrS9gPGcoOFCpMhVq_ | |||
hit this bug: https://github.com/openai/gpt-2/issues/178 | |||
<nowiki> | <nowiki> | ||
git clone https://github.com/openai/gpt-2.git && cd gpt-2 | git clone https://github.com/openai/gpt-2.git && cd gpt-2 | ||
docker build --tag gpt-2 -f Dockerfile.cpu . | docker build --tag gpt-2 -f Dockerfile.cpu . | ||
</nowiki> | |||
Need to run this on AWS or something: | |||
<nowiki> | |||
2019-11-09 20:43:18.919955: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA | |||
2019-11-09 20:43:23.418088: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory. | |||
2019-11-09 20:43:23.722155: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory. | |||
2019-11-09 20:43:44.915623: W tensorflow/core/framework/allocator.cc:122] Allocation of 18137088 exceeds 10% of system memory. | |||
2019-11-09 20:43:45.006514: W tensorflow/core/framework/allocator.cc:122] Allocation of 18210816 exceeds 10% of system memory. | |||
2019-11-09 20:43:45.102333: W tensorflow/core/framework/allocator.cc:122] Allocation of 18284544 exceeds 10% of system memory. | |||
</nowiki> | </nowiki> | ||
| Line 15: | Line 42: | ||
git clone https://github.com/facebookresearch/ParlAI.git | git clone https://github.com/facebookresearch/ParlAI.git | ||
cd ParlAI; python setup.py develop | cd ParlAI; python setup.py develop | ||
</nowiki> | |||
[[textworld]] | |||
From: https://www.microsoft.com/en-us/research/project/textworld/ | |||
Yields: https://github.com/microsoft/textworld | |||
hit this bug: https://github.com/authomatic/chromedriver_installer/issues/11 | |||
<nowiki> | |||
pip install textworld | |||
</nowiki> | </nowiki> | ||
Revision as of 20:46, 9 November 2019
[The Basics] My goal this year was to take some random text, character, and location generators and build a basic recursive quest engine.
Let's unpack that. All I want for now is:
- locations - a small network of places, with the ability for characters to travel between them
- characters - a recurring finite set of characters who travel between the locations and interact when they're in the same place
- stretch goal - interact when they're passing one another!
- recursive - the idea is that we have a world... it has, say, cities, within cities are places (inns, bars, markets), within those may be rooms... or maybe our recursion is deep enough at two levels
Eh, maybe that's even too much. I work a super lot and in eight days of November so far all I've done is written those bullets. But let's see what's out there...
[[[progress...]]] So there are some good generators out there that sort of start to do what I want. I may just daisy chain them together... listed a few below.
[Local laptop]
gpt-2 This: https://openai.com/blog/better-language-models/ Made this: https://github.com/openai/gpt-2 Which made this: https://colab.research.google.com/drive/1gB03iSnshYcSzSCrS9gPGcoOFCpMhVq_
hit this bug: https://github.com/openai/gpt-2/issues/178
git clone https://github.com/openai/gpt-2.git && cd gpt-2 docker build --tag gpt-2 -f Dockerfile.cpu .
Need to run this on AWS or something:
2019-11-09 20:43:18.919955: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-11-09 20:43:23.418088: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory. 2019-11-09 20:43:23.722155: W tensorflow/core/framework/allocator.cc:122] Allocation of 154389504 exceeds 10% of system memory. 2019-11-09 20:43:44.915623: W tensorflow/core/framework/allocator.cc:122] Allocation of 18137088 exceeds 10% of system memory. 2019-11-09 20:43:45.006514: W tensorflow/core/framework/allocator.cc:122] Allocation of 18210816 exceeds 10% of system memory. 2019-11-09 20:43:45.102333: W tensorflow/core/framework/allocator.cc:122] Allocation of 18284544 exceeds 10% of system memory.
git clone https://github.com/facebookresearch/ParlAI.git cd ParlAI; python setup.py develop
textworld From: https://www.microsoft.com/en-us/research/project/textworld/ Yields: https://github.com/microsoft/textworld
hit this bug: https://github.com/authomatic/chromedriver_installer/issues/11
pip install textworld