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[Ops]Add assign score withk forward cpu ops #2701

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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

Add assign score withk forward cpu ops in mmcv 2.x branch.

Modification

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  • Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
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codecov bot commented Mar 30, 2023

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.09 🎉

Comparison is base (5a45fac) 65.41% compared to head (352db1c) 65.51%.

❗ Current head 352db1c differs from pull request most recent head 01ee313. Consider uploading reports for the commit 01ee313 to get more accurate results

Additional details and impacted files
@@            Coverage Diff             @@
##              2.x    #2701      +/-   ##
==========================================
+ Coverage   65.41%   65.51%   +0.09%     
==========================================
  Files         128      128              
  Lines        8533     8533              
  Branches     1218     1220       +2     
==========================================
+ Hits         5582     5590       +8     
+ Misses       2742     2734       -8     
  Partials      209      209              
Flag Coverage Δ
unittests 65.51% <100.00%> (+0.09%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
mmcv/ops/deform_conv.py 66.66% <100.00%> (ø)
mmcv/ops/modulated_deform_conv.py 65.18% <100.00%> (ø)

... and 1 file with indirect coverage changes

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@@ -186,3 +186,110 @@ def test_paconv_assign_scores():
points.grad.detach().cpu(), expected_points_grad, atol=1e-6)
assert torch.allclose(
centers.grad.detach().cpu(), expected_centers_grad, atol=1e-6)


def test_paconv_assign_scores_cpu():
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You can share the test code with pytest.mark.parametrize like

def test_nms_allclose(self, device):

for (o = 0; o < O; o++) {
output[b * O * N1 * K + o * N1 * K + n * K + k] +=
(p[m * O + o] - c[m * O + o]) *
scores[b * N1 * K * M + n * K * M + k * M + m];
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move scores out of O loop to avoid duplicate scores load.

const T *p = points + b * N0 * M * O + pointIndex * M * O;
for (m = 0; m < M; m++) {
for (o = 0; o < O; o++) {
output[b * O * N1 * K + o * N1 * K + n * K + k] +=
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+= is not necessary, = should be enough.

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@shufanwu shufanwu Apr 6, 2023

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We can't replace += to = because every output element is the result of dot product of two vectors.

@shufanwu shufanwu requested a review from grimoire April 6, 2023 13:10
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4 participants