feat(fp8): CUDA fragment-C dequant->T.gemm twin for fp8 e4m3 Path C m… #155

	name: CUDA Lane

	on:
	push:
	branches: [main]
	pull_request:
	branches: [main]
	workflow_dispatch:

	jobs:
	cuda-tests:
	name: Run CUDA-only tests
	runs-on: [self-hosted, cuda]
	timeout-minutes: 30
	steps:
	- uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: "3.13"

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -e ".[dev]"

	- name: Run CUDA tests
	run: \|
	python -m pytest -m "cuda_hardware or cuda_required" -v --tb=short

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