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Posted to dev@singa.apache.org by GitBox <gi...@apache.org> on 2020/07/13 03:31:34 UTC
[GitHub] [singa] dcslin opened a new pull request #763: tensor operation type lang pair - kInt CPU, cuda
dcslin opened a new pull request #763:
URL: https://github.com/apache/singa/pull/763
added tensor operation type lang pair - cuda kint
fixed tensor operation type lang pair - cpu, kint
fixed tensor operation nrm2 type
added testing for mix type tensor operations
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[GitHub] [singa] chrishkchris merged pull request #763: tensor operation type lang pair - kInt CPU, cuda
Posted by GitBox <gi...@apache.org>.
chrishkchris merged pull request #763:
URL: https://github.com/apache/singa/pull/763
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[GitHub] [singa] chrishkchris commented on pull request #763: tensor operation type lang pair - kInt CPU, cuda
Posted by GitBox <gi...@apache.org>.
chrishkchris commented on pull request #763:
URL: https://github.com/apache/singa/pull/763#issuecomment-657429882
This PR is a problem (bug) fix to issue #744 , and can be merged after I complied and tested it with GPU.
1. test_onnx_backend.py
```
root@71ac539cda77:~/dcsysh/singa/test/python# python3 test_onnx_backend.py
ss............................ssssssssssssssssssssssssssssssss................ssss..ss..ss............ssssssssss..ssssssssssssssss............ssss....................ssssssss........................ssss....ssssssssssssssssssssssssss........ssssssssssssssssssssssssssss..........ssssssssssssss.......s.sssssss....ssssss..................ssss....ssssss..ssss..........ss.s............ssss....ssssssssssssssssssss........ssssssssssss..............ssssssssssssssssssssssss......ss......ssss..ss..............ssssssssss............ssssssssssssssssssssssssss......ssss....ssssssssssssssssss..................................ss........ssssssssssssssss....ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss................ssssssssssssssssssssssssssssssss................ssssssssssssssssss....................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss..........ssss......ssss........ssss..............ss..........................................ssssssssssss....................ssssssssssssssssssss....ssssssssssssssssssssssssssssss..................ssss................
----------------------------------------------------------------------
Ran 1114 tests in 1.256s
OK (skipped=603)
```
2. simple training test (just to see if it introduces other serious bug)
```
root@71ac539cda77:~/dcsysh/singa/examples/cnn# python3 train_cnn.py cnn mnist
Starting Epoch 0:
Training loss = 582.622375, training accuracy = 0.792789
Evaluation accuracy = 0.933393, Elapsed Time = 3.197757s
Starting Epoch 1:
Training loss = 234.050247, training accuracy = 0.921675
Evaluation accuracy = 0.956430, Elapsed Time = 3.176632s
Starting Epoch 2:
Training loss = 167.452026, training accuracy = 0.944854
Evaluation accuracy = 0.969351, Elapsed Time = 3.174831s
Starting Epoch 3:
Training loss = 141.909851, training accuracy = 0.952591
Evaluation accuracy = 0.969752, Elapsed Time = 3.174302s
Starting Epoch 4:
Training loss = 121.488564, training accuracy = 0.959212
Evaluation accuracy = 0.970853, Elapsed Time = 3.173884s
Starting Epoch 5:
Training loss = 106.590233, training accuracy = 0.965181
Evaluation accuracy = 0.976362, Elapsed Time = 3.271060s
Starting Epoch 6:
Training loss = 97.972565, training accuracy = 0.967399
Evaluation accuracy = 0.976863, Elapsed Time = 3.177941s
Starting Epoch 7:
Training loss = 89.360428, training accuracy = 0.970484
Evaluation accuracy = 0.973658, Elapsed Time = 3.177838s
Starting Epoch 8:
Training loss = 82.499229, training accuracy = 0.972719
Evaluation accuracy = 0.977865, Elapsed Time = 3.312110s
Starting Epoch 9:
Training loss = 79.484062, training accuracy = 0.973252
Evaluation accuracy = 0.981070, Elapsed Time = 3.180323s
```
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