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[Fix] np.float as it is deprecated #2527

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merged 1 commit into from
May 17, 2023

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filaPro
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@filaPro filaPro commented May 14, 2023

np.float is removed from numpy

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codecov bot commented May 14, 2023

Codecov Report

Patch coverage: 100.00% and no project coverage change.

Comparison is base (737c29f) 46.99% compared to head (91248e8) 46.99%.

❗ Current head 91248e8 differs from pull request most recent head dbe698c. Consider uploading reports for the commit dbe698c to get more accurate results

Additional details and impacted files
@@           Coverage Diff            @@
##           dev-1.x    #2527   +/-   ##
========================================
  Coverage    46.99%   46.99%           
========================================
  Files          276      276           
  Lines        23144    23144           
  Branches      3611     3611           
========================================
  Hits         10877    10877           
  Misses       11579    11579           
  Partials       688      688           
Flag Coverage Δ
unittests 46.99% <100.00%> (ø)

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

Impacted Files Coverage Δ
...tional/scannet_utils/evaluate_semantic_instance.py 86.84% <100.00%> (ø)

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@@ -25,8 +25,7 @@ def evaluate_matches(matches, class_labels, options):
dist_confs = [options['distance_confs'][0]]

# results: class x overlap
ap = np.zeros((len(dist_threshes), len(class_labels), len(overlaps)),
np.float)
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Suggest to change np.float to np.float32

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Looks like the default dtype for np.zeros is float which according to numpy documentation means exactly the same as old np.float. Why do we want to specify np.float32?

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We expect to keep dtype to make the code more readable.

@JingweiZhang12 JingweiZhang12 merged commit 22aaa47 into open-mmlab:dev-1.x May 17, 2023
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3 participants