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Pin torch nightly to Oct 1
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jainapurva committed Oct 4, 2024
1 parent 9ce7ebb commit 4565a88
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6 changes: 3 additions & 3 deletions .github/workflows/regression_test.yml
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Expand Up @@ -38,12 +38,12 @@ jobs:
torch-spec: 'torch==2.4.0'
gpu-arch-type: "cuda"
gpu-arch-version: "12.1"
- name: CUDA Nightly
- name: CUDA Nightly (Oct 1)
runs-on: linux.g5.12xlarge.nvidia.gpu
torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cu121'
torch-spec: '--pre torch==2.6.0.dev20241001+cu121 --index-url https://download.pytorch.org/whl/nightly/cu121'
gpu-arch-type: "cuda"
gpu-arch-version: "12.1"

- name: CPU 2.2.2
runs-on: linux.4xlarge
torch-spec: 'torch==2.2.2 --index-url https://download.pytorch.org/whl/cpu "numpy<2" '
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1 change: 1 addition & 0 deletions test/prototype/test_quantized_training.py
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Expand Up @@ -188,6 +188,7 @@ def snr(ref, actual):
assert snr(inputs_ref.grad, inputs_int8mp.grad) > 20
assert snr(linear.weight.grad, linear_int8mp.weight.grad) > 20

@pytest.mark.skip('Flaky on CI')
@parametrize("compile", [False, True])
@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
def test_bitnet_training(self, compile):
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