[Inference]Fix batch_norm converter bugs and rename unittest #68170
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你的PR提交成功，感谢你对开源项目的贡献! |
XieYunshen
previously approved these changes
Sep 12, 2024
lizexu123
approved these changes
Sep 12, 2024
qingqing01
reviewed
Sep 12, 2024
| actual_scale_np = scale_np / np.sqrt(variance_np + eps) | ||
| actual_bias_np = bias_np - mean_np * actual_scale_np | ||
| bias = trt.Weights(actual_bias_np) | ||
| scale = trt.Weights(actual_scale_np) |
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单测没有发现，因为使用了batch norm其中的一些默认值恰好计算出来是没有问题的结果
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再把test_converter_model_resnet50.py跑一遍，看看那个精度是多少吧，之前设置的是2e-1
XieYunshen
approved these changes
Sep 13, 2024
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PR Category
Inference
PR Types
Bug fixes
Description
card-71500
本PR工作如下：
1，修复batch_norm converter计算异常的bug
2，单测命名规范化，支持传入自定义精度误差