jwfromm commented on a change in pull request #5284: [Topi] Tensorcore support 
for Conv3D
URL: https://github.com/apache/incubator-tvm/pull/5284#discussion_r407161101
 
 

 ##########
 File path: python/tvm/relay/op/nn/_nn.py
 ##########
 @@ -139,13 +139,17 @@ def convert_conv2d(attrs, inputs, tinfos, 
desired_layout):
     # pylint: disable=import-outside-toplevel
     from tvm import relay
     data, weight = inputs
-    assert desired_layout == 'NCHW', \
-            "Currently only transformation to NCHW layout is supported."
+    new_attrs = dict(attrs)
     if desired_layout == 'NCHW':
-        new_attrs = dict(attrs)
         new_attrs['data_layout'] = desired_layout
         new_attrs['kernel_layout'] = 'OIHW'
         return relay.nn.conv2d(data, weight, **new_attrs)
+    elif desired_layout == 'NHWC':
+        new_attrs['data_layout'] = desired_layout
+        new_attrs['kernel_layout'] = 'HWIO'
 
 Review comment:
   Good point, I added a depthwise check here.

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