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8a56aa7 - Add min_python option to main section 9cb7135 - Add support for typed projects c5186da - Configure codespell in setup.cfg
This causes a regression in two benchmark tests: - net4: Random network with RectifiedLinear neurons - net6: LMU with eager mode off Two other benchmarks are adjusted slightly to re-center them on the times currently achieved under TensorFlow 2.2. Here are the full results before this commit: test_benchmarks.py::test_performance[net0-False-64-True-1.0-1.15] Exec times (15): 1.092 (min), 1.146 (max), 1.122 (mean), 0.016 (std) test_benchmarks.py::test_performance[net1-False-64-True-2.25-2.55] Exec times (15): 2.468 (min), 2.507 (max), 2.488 (mean), 0.014 (std) test_benchmarks.py::test_performance[net2-True-64-True-0.6-0.9] Exec times (15): 0.793 (min), 0.842 (max), 0.812 (mean), 0.015 (std) test_benchmarks.py::test_performance[net3-True-64-True-0.95-1.15] Exec times (15): 1.034 (min), 1.082 (max), 1.057 (mean), 0.013 (std) test_benchmarks.py::test_performance[net4-False-None-True-0.5-0.7] Exec times (15): 0.647 (min), 0.656 (max), 0.649 (mean), 0.002 (std) test_benchmarks.py::test_performance[net5-True-100-True-1.25-1.45] Exec times (15): 1.345 (min), 1.399 (max), 1.367 (mean), 0.015 (std) test_benchmarks.py::test_performance[net6-True-100-False-1.05-1.25] Exec times (15): 1.180 (min), 1.197 (max), 1.186 (mean), 0.005 (std) Here are the full results after this commit: test_benchmarks.py::test_performance[net0-False-64-True-1.0-1.15] Exec times (15): 1.109 (min), 1.186 (max), 1.134 (mean), 0.020 (std) test_benchmarks.py::test_performance[net1-False-64-True-2.25-2.55] Exec times (15): 2.488 (min), 2.539 (max), 2.509 (mean), 0.015 (std) test_benchmarks.py::test_performance[net2-True-64-True-0.6-0.9] Exec times (15): 0.684 (min), 0.728 (max), 0.700 (mean), 0.013 (std) test_benchmarks.py::test_performance[net3-True-64-True-0.95-1.15] Exec times (15): 1.023 (min), 1.064 (max), 1.040 (mean), 0.011 (std) test_benchmarks.py::test_performance[net4-False-None-True-0.5-0.7] Exec times (15): 0.700 (min), 0.717 (max), 0.705 (mean), 0.004 (std) test_benchmarks.py::test_performance[net5-True-100-True-1.25-1.45] Exec times (15): 1.326 (min), 1.357 (max), 1.339 (mean), 0.009 (std) test_benchmarks.py::test_performance[net6-True-100-False-1.05-1.25] Exec times (15): 1.237 (min), 1.262 (max), 1.245 (mean), 0.006 (std)
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We've updated the remote tests to use TF 2.10 now, superseding this PR. |
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This causes a regression in two benchmark tests:
Two other benchmarks are adjusted slightly to re-center them on the
times currently achieved under TensorFlow 2.2.
Here are the full results before this commit:
nengo_dl/tests/test_benchmarks.py::test_performance[net0-False-64-True-1.0-1.15]
Execution times (15): 1.092 (min), 1.146 (max), 1.122 (mean), 0.016 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net1-False-64-True-2.25-2.55]
Execution times (15): 2.468 (min), 2.507 (max), 2.488 (mean), 0.014 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net2-True-64-True-0.6-0.9]
Execution times (15): 0.793 (min), 0.842 (max), 0.812 (mean), 0.015 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net3-True-64-True-0.95-1.15]
Execution times (15): 1.034 (min), 1.082 (max), 1.057 (mean), 0.013 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net4-False-None-True-0.5-0.7]
Execution times (15): 0.647 (min), 0.656 (max), 0.649 (mean), 0.002 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net5-True-100-True-1.25-1.45]
Execution times (15): 1.345 (min), 1.399 (max), 1.367 (mean), 0.015 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net6-True-100-False-1.05-1.25]
Execution times (15): 1.180 (min), 1.197 (max), 1.186 (mean), 0.005 (std)
Here are the full results after this commit:
nengo_dl/tests/test_benchmarks.py::test_performance[net0-False-64-True-1.0-1.15]
Execution times (15): 1.109 (min), 1.186 (max), 1.134 (mean), 0.020 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net1-False-64-True-2.25-2.55]
Execution times (15): 2.488 (min), 2.539 (max), 2.509 (mean), 0.015 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net2-True-64-True-0.6-0.9]
Execution times (15): 0.684 (min), 0.728 (max), 0.700 (mean), 0.013 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net3-True-64-True-0.95-1.15]
Execution times (15): 1.023 (min), 1.064 (max), 1.040 (mean), 0.011 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net4-False-None-True-0.5-0.7]
Execution times (15): 0.700 (min), 0.717 (max), 0.705 (mean), 0.004 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net5-True-100-True-1.25-1.45]
Execution times (15): 1.326 (min), 1.357 (max), 1.339 (mean), 0.009 (std)
nengo_dl/tests/test_benchmarks.py::test_performance[net6-True-100-False-1.05-1.25]
Execution times (15): 1.237 (min), 1.262 (max), 1.245 (mean), 0.006 (std)