onnx export

[123liluky]

lu@deeplearningHost2:/data/lilu/yolov5-master/yolov5-master$ python models/onnx_export.py
Namespace(batch_size=1, img_size=[640, 640], weights='./weights/test.pt')
Fusing layers...
Model Summary: 140 layers, 1.81977e+06 parameters, 1.65722e+06 gradients, 3.3 GFLOPS
graph torch-jit-export (
%images[FLOAT, 1x3x640x640]
) initializers (
%661[INT64, 1]
%662[INT64, 1]
%663[INT64, 1]
%664[INT64, 1]
%665[INT64, 1]
%666[INT64, 1]
%model.0.conv.conv.bias[FLOAT, 16]
%model.0.conv.conv.weight[FLOAT, 16x12x3x3]
%model.1.conv.bias[FLOAT, 32]
%model.1.conv.weight[FLOAT, 32x16x3x3]
%model.10.conv.bias[FLOAT, 128]
%model.10.conv.weight[FLOAT, 128x256x1x1]
%model.13.bn.bias[FLOAT, 128]
%model.13.bn.running_mean[FLOAT, 128]
%model.13.bn.running_var[FLOAT, 128]
%model.13.bn.weight[FLOAT, 128]
......
When I export .onnx，some Int64 parameters appears. I am doubt what are they? Thank you.

[github-actions]

Hello @123liluky, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook , Docker Image, and Google Cloud Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

• Cloud-based AI systems operating on hundreds of HD video streams in realtime.
• Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
• Custom data training, hyperparameter evolution, and model exportation to any destination.

For more information please visit https://www.ultralytics.com.

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.