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pd: skip certain UT and fix paddle ver in in test_cuda.yml #4439

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Nov 28, 2024
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pd: skip certain UT and fix paddle ver in in test_cuda.yml #4439

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2 changes: 1 addition & 1 deletion .github/workflows/test_cuda.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ jobs:
- run: |
export PYTORCH_ROOT=$(python -c 'import torch;print(torch.__path__[0])')
export TENSORFLOW_ROOT=$(python -c 'import importlib,pathlib;print(pathlib.Path(importlib.util.find_spec("tensorflow").origin).parent)')
source/install/uv_with_retry.sh pip install --system --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu123/
source/install/uv_with_retry.sh pip install --system --pre https://paddle-whl.bj.bcebos.com/nightly/cu123/paddlepaddle-gpu/paddlepaddle_gpu-3.0.0.dev20241126-cp311-cp311-linux_x86_64.whl
source/install/uv_with_retry.sh pip install --system -v -e .[gpu,test,lmp,cu12,torch,jax] mpi4py
env:
DP_VARIANT: cuda
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2 changes: 2 additions & 0 deletions source/tests/pd/test_dp_show.py
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Expand Up @@ -29,6 +29,7 @@
)


@unittest.skip("Skip until solving cuda error 709 in jit.save")
class TestSingleTaskModel(unittest.TestCase):
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def setUp(self):
input_json = str(Path(__file__).parent / "water/se_atten.json")
Expand Down Expand Up @@ -101,6 +102,7 @@ def tearDown(self):
shutil.rmtree(f)


@unittest.skip("Skip until solving cuda error 709 in jit.save")
class TestMultiTaskModel(unittest.TestCase):
def setUp(self):
input_json = str(Path(__file__).parent / "water/multitask.json")
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2 changes: 2 additions & 0 deletions source/tests/pd/test_multitask.py
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Expand Up @@ -40,6 +40,7 @@ def setUpModule():
multitask_template = json.load(f)


@unittest.skip("Skip until solving cuda error 709 in jit.save")
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class MultiTaskTrainTest:
def test_multitask_train(self):
# test multitask training
Expand Down Expand Up @@ -181,6 +182,7 @@ def tearDown(self):
shutil.rmtree(f)


@unittest.skip("Skip until solving cuda error 709 in jit.save")
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class TestMultiTaskSeA(unittest.TestCase, MultiTaskTrainTest):
def setUp(self):
multitask_se_e2_a = deepcopy(multitask_template)
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