Hi, i successfully trained a YOLOv5s model (.pt) in google colab. Could anyone please help me to find a way of how to convert PyTorch model weight format (.pt) to ONNX or tensorflow format using google colab?
Here is my colab code i try:
from torch.autograd import Variable
import torch.onnx
import torchvision
import torch
dummy_input = Variable(torch.randn(16, 3, 416, 416))
model = torch.load('/content/yolov5/runs/train/yolov5s_results2/weights/best.pt')
torch.onnx.export(model, dummy_input, "/content/yolov5/runs/train/yolov5s_results2/weights/pytorch_model.onnx")
But after run the code i’ve got some errors:
AttributeError Traceback (most recent call last)
<ipython-input-18-cef2b6adb415> in <module>()
6 dummy_input = Variable(torch.randn(16, 3, 416, 416))
7 model = torch.load('/content/yolov5/runs/train/yolov5s_results/weights/best.pt')
----> 8 torch.onnx.export(model,dummy_input,"/content/yolov5/runs/train/yolov5s_results/weights/pytorch_model.onnx")
4 frames
/usr/local/lib/python3.7/dist-packages/torch/onnx/utils.py in select_model_mode_for_export(model, mode)
36 def select_model_mode_for_export(model, mode):
37 if not isinstance(model, torch.jit.ScriptFunction):
---> 38 is_originally_training = model.training
39
40 if mode is None:
AttributeError: 'dict' object has no attribute 'training'
What am i doing wrong?