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update utils.create_pretrained()

This commit is contained in:
Glenn Jocher 2020-06-24 12:53:43 -07:00
parent 0825cb7fd8
commit 3b062254a6
2 changed files with 5 additions and 5 deletions
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4
Dockerfile
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@ -1,5 +1,6 @@
# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
FROM nvcr.io/nvidia/pytorch:20.03-py3
RUN pip install -U gsutil
# Create working directory
RUN mkdir -p /usr/src/app
@ -10,7 +11,6 @@ COPY . /usr/src/app
# Install dependencies (pip or conda)
#RUN pip install -r requirements.txt
RUN pip install -U gsutil
# Copy weights
#RUN python3 -c "from models import *; \
@ -41,7 +41,7 @@ RUN pip install -U gsutil
# Bash into running container
# sudo docker container exec -it ba65811811ab bash
# python -c "from utils.utils import *; create_backbone('weights/last.pt')" && gsutil cp weights/backbone.pt gs://*
# python -c "from utils.utils import *; create_pretrained('weights/last.pt')" && gsutil cp weights/pretrained.pt gs://*
# Bash into stopped container
# sudo docker commit 6d525e299258 user/test_image && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco --entrypoint=sh user/test_image

6
utils/utils.py
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@ -632,8 +632,8 @@ def strip_optimizer(f='weights/best.pt'): # from utils.utils import *; strip_op
print('Optimizer stripped from %s' % f)
def create_backbone(f='weights/best.pt', s='weights/backbone.pt'): # from utils.utils import *; create_backbone()
# create backbone 's' from 'f'
def create_pretrained(f='weights/best.pt', s='weights/pretrained.pt'): # from utils.utils import *; create_pretrained()
# create pretrained checkpoint 's' from 'f' (create_pretrained(x, x) for x in glob.glob('./*.pt'))
device = torch.device('cpu')
x = torch.load(s, map_location=device)
@ -644,7 +644,7 @@ def create_backbone(f='weights/best.pt', s='weights/backbone.pt'): # from utils
for p in x['model'].parameters():
p.requires_grad = True
torch.save(x, s)
print('%s modified for backbone use and saved as %s' % (f, s))
print('%s saved as pretrained checkpoint %s' % (f, s))
def coco_class_count(path='../coco/labels/train2014/'):