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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/12/05 23:07:51 UTC

[GitHub] sandeep-krishnamurthy commented on a change in pull request #13362: Add NHWC layout support to Pooling (cuDNN only)

sandeep-krishnamurthy commented on a change in pull request #13362: Add NHWC layout support to Pooling (cuDNN only)
URL: https://github.com/apache/incubator-mxnet/pull/13362#discussion_r239272144
 
 

 ##########
 File path: tests/python/gpu/test_operator_gpu.py
 ##########
 @@ -608,6 +608,52 @@ def test_convolution_versions():
 
 
 @with_seed()
+def test_pooling_with_convention():
+    # While the float32 and float64 output is reliably consistent, float16 departs occasionally.
+    # We compare cpu and gpu results only within a given precision.
+    for data_type in [np.float64, np.float32, np.float16]:
+        ctx_list = [{'ctx': mx.gpu(0), 'pool_data': (2, 2, 10, 10), 'type_dict': {'pool_data': data_type}},
+                    {'ctx': mx.cpu(0), 'pool_data': (2, 2, 10, 10), 'type_dict': {'pool_data': data_type}}]
+        sym = mx.sym.Pooling(kernel=(3,3), pool_type='max', pooling_convention='valid', name='pool')
+        check_consistency(sym, ctx_list)
+
+        sym = mx.sym.Pooling(kernel=(3,3), pool_type='max', pooling_convention='full', name='pool')
+        check_consistency(sym, ctx_list)
+
+        sym = mx.sym.Pooling(kernel=(300,300), pool_type='max', global_pool=True, name='pool')
+        check_consistency(sym, ctx_list)
+
+
+@with_seed()
+@assert_raises_cudnn_not_satisfied(min_version='7.0.1')
 
 Review comment:
   should it rather skip this test if cudnn version is < 7.0.1 ?

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