mx: add ceil and RNE rounding modes to the cast from fp32 to e8m0 #87

	name: Run TorchAO Experimental Tests

	on:
	push:
	branches:
	- main
	- 'gh/**'
	pull_request:
	branches:
	- main
	- 'gh/**'

	jobs:
	test:
	strategy:
	matrix:
	runner: [macos-14]
	runs-on: ${{matrix.runner}}
	defaults:
	run:
	shell: bash -el {0}
	steps:
	- name: Checkout repo
	uses: actions/checkout@v3
	with:
	submodules: true
	- name: Setup environment
	uses: conda-incubator/setup-miniconda@v3
	with:
	python-version: "3.10"
	miniconda-version: "latest"
	activate-environment: venv
	- name: Install requirements
	run: \|
	conda activate venv
	pip install --extra-index-url "https://download.pytorch.org/whl/nightly/cpu" torch=="2.6.0.dev20250104"
	pip install numpy
	USE_CPP=1 pip install .
	- name: Run tests
	run: \|
	conda activate venv
	python torchao/experimental/tests/test_packed_linear_int8_dynamic_activation_intx_weight_layout.py

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