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@jdavies-huawei jdavies-huawei commented Jun 6, 2019

This is the second pull request for this change. In response to comments from @ZihengJiang, the scalar inputs can now be passed to the TensorIntrin without using a named parameter.

Before:

C = tvm.compute((n, n), lambda i: tfunc(A[i, 0:n], scalar_inputs=(i*i)), name='C')

Now:

C = tvm.compute((n, n), lambda i: tfunc(A[i, 0:n], i*i), name='C')

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@ZihengJiang can you please review?

@kevinthesun kevinthesun requested a review from ZihengJiang June 9, 2019 23:25
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jdavies-huawei commented Jun 13, 2019

@kevinthesun can you add me to the slack channel? I requested on TVM discuss https://discuss.tvm.ai/t/request-for-invite-to-the-slack-channel/2888 3 days ago, but I haven't gotten a response yet.

@ZihengJiang ZihengJiang self-assigned this Jun 14, 2019
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LGTM!

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2 participants