trevor-m commented on a change in pull request #5857:
URL: https://github.com/apache/incubator-tvm/pull/5857#discussion_r445798573
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File path: tests/python/relay/test_op_level5.py
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@@ -270,8 +270,8 @@ def verify_get_valid_counts(dshape, score_threshold,
id_index, score_index):
intrp = relay.create_executor("debug", ctx=ctx, target=target)
out = intrp.evaluate(func)(np_data)
tvm.testing.assert_allclose(out[0].asnumpy(), np_out1, rtol=1e-3,
atol=1e-04)
- # get_valid_count for cuda doesn't do data rearrangement
- if target == 'cuda':
+ # get_valid_count for cuda, opencl doesn't do data rearrangement
+ if target in ['cuda', 'opencl']:
return
Review comment:
OpenCL uses the same implementation as CUDA. The CUDA implementation of
`get_valid_counts` was changed to no longer rearrange the output of
`get_valid_counts` because it will be rearranged by NMS later anyway. This
gives the correct output for NMS. See
https://github.com/apache/incubator-tvm/pull/5339
That issue with NMS looks to be a separate issue where the CUDA
implementation wasn't fully updated to match changes to CPU implementation by
https://github.com/apache/incubator-tvm/pull/4312/
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