offline st testcases for cuda-11.1
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@ -16,7 +16,7 @@ import os
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import pytest
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import pytest
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@pytest.mark.level0
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@pytest.mark.level2
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_single
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@pytest.mark.env_single
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def test_nccl_lenet():
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def test_nccl_lenet():
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@ -352,7 +352,7 @@ def test_trainTensor(num_classes=10, epoch=8, batch_size=1):
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assert (losses[-1].asnumpy() < 1)
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assert (losses[-1].asnumpy() < 1)
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@pytest.mark.level0
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@pytest.mark.level2
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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@pytest.mark.env_onecard
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def test_trainTensor_big_batchSize(num_classes=10, epoch=8, batch_size=338):
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def test_trainTensor_big_batchSize(num_classes=10, epoch=8, batch_size=338):
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@ -105,7 +105,7 @@ def test_tensor_dot_fp32():
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np.allclose(ms_result_np, np_result)
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np.allclose(ms_result_np, np_result)
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@pytest.mark.level0
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@pytest.mark.level2
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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@pytest.mark.env_onecard
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def test_tensor_dot_fp16():
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def test_tensor_dot_fp16():
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@ -54,7 +54,7 @@ config_ascend_quant = ed({
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dataset_path = "/home/workspace/mindspore_dataset/cifar-10-batches-bin/"
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dataset_path = "/home/workspace/mindspore_dataset/cifar-10-batches-bin/"
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@pytest.mark.level0
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@pytest.mark.level2
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_single
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@pytest.mark.env_single
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def test_mobilenetv2_quant():
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def test_mobilenetv2_quant():
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