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| .. | ||
| README.md | 4 years ago | |
| __init__.py | 4 years ago | |
| exp_config.py | 4 years ago | |
| keras_test.py | 4 years ago | |
| pytorch_test.py | 4 years ago | |
| tf2-autograph.py | 4 years ago | |
| tf2-eager.py | 4 years ago | |
| tl2-autograph.py | 4 years ago | |
| tl2-eager.py | 4 years ago | |
| tl2-static-autograph.py | 4 years ago | |
| tl2-static-eager.py | 4 years ago | |
This test compares performance of the following libraries:
Hardware:
Experiment Settings:
Results:
| Mode | Lib | Data Format | Max GPU Memory Usage(MB) | Max CPU Memory Usage(MB) | Avg CPU Memory Usage(MB) | Runtime (sec) |
|---|---|---|---|---|---|---|
| AutoGraph | TensorFlow 2.0 | channel last | 11833 | 2161 | 2136 | 74 |
| Tensorlayer 2.0 | channel last | 11833 | 2187 | 2169 | 76 | |
| Graph | Keras | channel last | 8677 | 2580 | 2576 | 101 |
| Eager | TensorFlow 2.0 | channel last | 8723 | 2052 | 2024 | 97 |
| TensorLayer 2.0 | channel last | 8723 | 2010 | 2007 | 95 |
TensorLayer3.0 是一款兼容多种深度学习框架为计算后端的深度学习库。计划兼容TensorFlow, Pytorch, MindSpore, Paddle.
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