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[fx] recovered skipped pipeline tests (#1338)
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@@ -30,7 +30,6 @@ class MLP(torch.nn.Module):
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return x
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@pytest.mark.skip('skip due to CI environment')
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def test_comm_size_compute():
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model = MLP(MODEL_DIM)
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input_sample = torch.rand(BATCH_SIZE, MODEL_DIM)
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@@ -39,7 +39,6 @@ def pipeline_pass_test_helper(model, data, pass_func):
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assert output.equal(origin_output)
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@pytest.mark.skip('skip due to CI environment')
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def test_pipeline_passes():
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model = MLP(MODEL_DIM)
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data = torch.rand(BATCH_SIZE, MODEL_DIM)
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