Training Workflow #38

	name: Training Workflow

	on:
	workflow_dispatch:
	inputs:
	script_content:
	description: 'Content of train.py'
	required: true
	type: string

	jobs:
	train:
	runs-on: ubuntu-latest

	steps:
	- name: "Install uv"
	uses: astral-sh/setup-uv@v3

	# Cache PyTorch dependencies
	- name: Cache PyTorch
	uses: actions/cache@v3
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-torch-${{ hashFiles('**/requirements.txt') }}
	restore-keys: \|
	${{ runner.os }}-torch-

	# Create requirements.txt
	- name: Create requirements file
	run: \|
	cat << EOF > requirements.txt
	numpy==1.24.3
	torch==2.1.0
	EOF

	# Install dependencies using uv
	- name: Install dependencies
	run: \|
	uv pip install -r requirements.txt

	- name: Create and run training script
	run: \|
	echo "${{ inputs.script_content }}" > train.py
	cat train.py # Debug: print the content
	python train.py > training.log 2>&1

	- name: Upload logs
	uses: actions/upload-artifact@v3
	if: always() # Upload logs whether the job succeeds or fails
	with:
	name: training-logs
	path: training.log

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