[Performance] The performance of dgl.DGLGraph.apply_edges has dropped in some test.

[caojy1998]

🐛 Bug

apply_edges on cpu device has performance drop recently.

The code for this api is in python/dgl/heterograph.py.

The result of time consumption is as follow: api.bench_builtin_apply_edges 'cora' 'coo' 128 'u->e' 0.0005874281500013012 standard_result: 0.0002504343749990312 api.bench_builtin_apply_edges'cora' 'coo' 128 'u+v' 0.0005175077500013004 standard_result: 0.0002796029500018449 api.bench_builtin_apply_edges 'cora' 'coo' 512 'u->e' 0.0015405381999983093 standard_result: 0.0007349309500000345 api.bench_builtin_apply_edges'cora' 'csr' 128 'u+v' 0.0008072346749997905 standard_result: 0.0003226958249996414 api.bench_builtin_apply_edges'cora' 'csr' 512 'u->e' 0.0019674952999992 standard_result: 0.000725922425002068

To Reproduce

Steps to reproduce the behavior:

1. we can get the result from regression test.

Expected behavior

Environment

• DGL Version (e.g., 1.0):
• Backend Library & Version (e.g., PyTorch 0.4.1, MXNet/Gluon 1.3):
• OS (e.g., Linux):
• How you installed DGL (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version (if applicable):
• GPU models and configuration (e.g. V100):
• Any other relevant information:

Additional context

[github-actions[bot]]

This issue has been automatically marked as stale due to lack of activity. It will be closed if no further activity occurs. Thank you