alexgl-github commented on a change in pull request #4737: Add CUDA conv2d for
NHWC layout
URL: https://github.com/apache/incubator-tvm/pull/4737#discussion_r368340774
##########
File path: topi/python/topi/cuda/conv2d.py
##########
@@ -162,3 +164,37 @@ def _callback(op):
traverse_inline(s, outs[0].op, _callback)
return s
+
+
[email protected]_topi_schedule(generic.schedule_conv2d_nhwc, ["cuda", "gpu"],
+ ["direct"])
+def schedule_conv2d_nhwc_cuda(cfg, outs):
+ """TOPI schedule for CUDA conv2d_nhwc
+
+ Parameters
+ ----------
+ cfg: ConfigEntity
+ The config for this template
+
+ outs: Array of Tensor
+ The computation graph description of conv2d
+ in the format of an array of tensors.
+
+ Returns
+ -------
+ s: Schedule
+ The computation schedule for conv2d.
+ """
+ target = tvm.target.current_target()
+ if 'cudnn' in target.libs:
+ return generic.schedule_extern(outs)
+
+ outs = [outs] if isinstance(outs, tvm.tensor.Tensor) else outs
+ s = tvm.create_schedule([x.op for x in outs])
+
+ def _callback(op):
+ if op.tag == 'conv2d_nhwc':
+ schedule_direct_cuda(cfg, s, op.output(0))
Review comment:
Yes it does. The tests are also passing.
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