Add --gpu
CLI option so Linux users can choose a single GPU ID for tinygrad
#483
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name: Build and Test | |
on: | |
push: | |
branches: [ '*' ] | |
tags: [ '*' ] | |
pull_request: | |
branches: [ '*' ] | |
jobs: | |
single-m4-pro: | |
strategy: | |
matrix: | |
model: ['llama-3.2-1b', 'llama-3.2-3b', 'llama-3.1-8b'] | |
uses: ./.github/workflows/bench_job.yml | |
with: | |
config: '{"M4PRO_GPU16_24GB": 1}' | |
model: ${{ matrix.model }} | |
calling_job_name: 'single-m4-pro' | |
network_interface: 'Ethernet' | |
secrets: inherit | |
two-m4-pro-cluster: | |
strategy: | |
matrix: | |
model: ['llama-3.2-1b', 'llama-3.2-3b', 'llama-3.1-8b'] | |
uses: ./.github/workflows/bench_job.yml | |
with: | |
config: '{"M4PRO_GPU16_24GB": 2}' | |
model: ${{ matrix.model }} | |
calling_job_name: 'two-m4-pro-cluster' | |
network_interface: 'Ethernet' | |
secrets: inherit | |
# two-m4-pro-cluster-thunderbolt: | |
# strategy: | |
# matrix: | |
# model: ['llama-3.2-1b', 'llama-3.2-3b', 'llama-3.1-8b'] | |
# uses: ./.github/workflows/bench_job.yml | |
# with: | |
# config: '{"M4PRO_GPU16_24GB": 2}' | |
# model: ${{ matrix.model }} | |
# calling_job_name: 'two-m4-pro-cluster-thunderbolt' | |
# network_interface: 'Thunderbolt' | |
# secrets: inherit | |
three-m4-pro-cluster: | |
strategy: | |
matrix: | |
model: ['llama-3.2-1b', 'llama-3.2-3b', 'llama-3.1-8b', 'llama-3.3-70b'] | |
fail-fast: false | |
uses: ./.github/workflows/bench_job.yml | |
with: | |
config: '{"M4PRO_GPU16_24GB": 3}' | |
model: ${{ matrix.model }} | |
calling_job_name: 'three-m4-pro-cluster' | |
network_interface: 'Ethernet' | |
secrets: inherit | |
# test-m3-single-node: | |
# strategy: | |
# matrix: | |
# model: ['llama-3.2-1b'] | |
# fail-fast: false | |
# uses: ./.github/workflows/bench_job.yml | |
# with: | |
# config: '{"M3MAX_GPU40_128GB": 1}' | |
# model: ${{ matrix.model }} | |
# calling_job_name: 'test-m3-cluster' | |
# network_interface: 'Ethernet' | |
# secrets: inherit |