CHANGE: use piece value function as an initial dlshogi model #482

	name: Run DL-Shogi Training

	on:
	push:
	branches: [ main, develop, tmp ]

	jobs:
	build:
	runs-on: ubuntu-latest
	strategy:
	matrix:
	game: [
	{name: animal_shogi, rl_cycle: 5, nn_backbone_blocks: 3},
	{name: minishogi, rl_cycle: 4, nn_backbone_blocks: 3},
	{name: judkins_shogi, rl_cycle: 3, nn_backbone_blocks: 3},
	{name: shogi, rl_cycle: 1, nn_backbone_blocks: 2},
	]
	fail-fast: false

	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.11
	uses: actions/setup-python@v2
	with:
	python-version: 3.11
	- name: Upgrade pip
	run: python -m pip install --upgrade pip
	- name: Install dependencies
	run: pip install .[dlshogi]
	- name: Run command
	env:
	NAME: ${{ matrix.game.name }}
	CYCLE: ${{ matrix.game.rl_cycle }}
	BACKBONES: ${{ matrix.game.nn_backbone_blocks }}
	run: python examples/dlshogi.py rl $NAME --rl_cycle $CYCLE --nn_backbone_blocks $BACKBONES --mcts_explorations 200 --self_play 100 --win_ratio_threshold 0.1
	- name: Evaluate model
	env:
	NAME: ${{ matrix.game.name }}
	CYCLE: ${{ matrix.game.rl_cycle }}
	run: python -m vshogi $NAME --player1 $NAME/models/model_0000.tflite --player2 $NAME/models/model_$(printf %04d $CYCLE).tflite

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