echuraev commented on a change in pull request #8636:
URL: https://github.com/apache/tvm/pull/8636#discussion_r684124511
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File path: python/tvm/topi/cuda/conv2d_nhwc.py
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@@ -85,8 +87,10 @@ def schedule_conv2d_nhwc_direct(cfg, s, Conv):
thread_yz = te.thread_axis((0, vthread_n), "vthread", name="vy")
# Schedule for output
- ni, hi, wi, fi = s[output].op.axis
- bz = s[output].fuse(hi, wi)
+ ni, _, wi, fi = s[output].op.axis
+ bz = wi
+ fi, vec = s[output].split(fi, factor=vec_factor)
+ s[output].vectorize(vec)
Review comment:
Yes, it works. I added vectorize to the back of reorder list. Sorry, I'm
new in writing schedules, so, maybe I did something wrong :) I checked the
performance and accuracy on an OpenCL device, and it works fine and fast.
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