@@ -426,8 +426,9 @@ def test_AveragePool(tmpdir, dtype, device_id):
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#AveragePool
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@pytest .mark .parametrize ("dtype" , DType_Config )
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def test_AveragePoolWithSequenceAxis (tmpdir , dtype , device_id ):
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- if device_id == - 1 and dtype == np .float16 :
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- pytest .skip ('Test is skipped on CPU with float16 data' )
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+ if dtype == np .float16 :
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+ # CI reporting "FP16 convolution is only supported via cuDNN." on GPU with float16 data
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+ pytest .skip ('Test is skipped with float16 data' )
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device = cntk_device (device_id )
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with C .default_options (dtype = dtype ):
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img = np .reshape (np .arange (16 , dtype = dtype ), [1 , 4 , 4 ])
@@ -1342,8 +1343,9 @@ def test_MaxPool(tmpdir, dtype, device_id):
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#MaxPool
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@pytest .mark .parametrize ("dtype" , DType_Config )
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def test_MaxPoolWithSequenceAxis (tmpdir , dtype , device_id ):
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- if device_id == - 1 and dtype == np .float16 :
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- pytest .skip ('Test is skipped on CPU with float16 data' )
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+ if dtype == np .float16 :
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+ # CI reporting "FP16 convolution is only supported via cuDNN." on GPU with float16 data
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+ pytest .skip ('Test is skipped with float16 data' )
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device = cntk_device (device_id )
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with C .default_options (dtype = dtype ):
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img = np .reshape (np .arange (16 , dtype = dtype ), [1 , 4 , 4 ])
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