.bn.bias", "model.13.cv4.bn.running_mean", "model.13.cv4.bn.running_var", "model.13.cv4.bn.num_batches_tracked", "model.13.bn.weight", "model.13.bn.bias", "model.13.bn.running_mean", "model.13.bn.running_var", "model.13.bn.num_batches_tracked", "model.13.cv2.weight", "model.13.cv3.weight", "model.17.cv4.conv.weight", "model.17.cv4.bn.weight", "model.17.cv4.bn.bias", "model.17.cv4.bn.running_mean", "model.17.cv4.bn.running_var", "model.17.cv4.bn.num_batches_tracked", "model.17.bn.weight", "model.17.bn.bias", "model.17.bn.running_mean", "model.17.bn.running_var", "model.17.bn.num_batches_tracked", "model.17.cv2.weight", "model.17.cv3.weight", "model.20.cv4.conv.weight", "model.20.cv4.bn.weight", "model.20.cv4.bn.bias", "model.20.cv4.bn.running_mean", "model.20.cv4.bn.running_var", "model.20.cv4.bn.num_batches_tracked", "model.20.bn.weight", "model.20.bn.bias", "model.20.bn.running_mean", "model.20.bn.running_var", "model.20.bn.num_batches_tracked", "model.20.cv2.weight", "model.20.cv3.weight", "model.23.cv4.conv.weight", "model.23.cv4.bn.weight", "model.23.cv4.bn.bias", "model.23.cv4.bn.running_mean", "model.23.cv4.bn.running_var", "model.23.cv4.bn.num_batches_tracked", "model.23.bn.weight", "model.23.bn.bias", "model.23.bn.running_mean", "model.23.bn.running_var", "model.23.bn.num_batches_tracked", "model.23.cv2.weight", "model.23.cv3.weight". 
        size mismatch for model.8.cv2.conv.weight: copying a param with shape torch.Size([512, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 512, 1, 1]).
        size mismatch for model.8.cv2.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).
        size mismatch for model.8.cv2.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).
        size mismatch for model.8.cv2.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).
        size mismatch for model.8.cv2.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).
        size mismatch for model.24.m.0.weight: copying a param with shape torch.Size([60, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([63, 128, 1, 1]).
        size mismatch for model.24.m.0.bias: copying a param with shape torch.Size([60]) from checkpoint, the shape in current model is torch.Size([63]).
        size mismatch for model.24.m.1.weight: copying a param with shape torch.Size([60, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([63, 256, 1, 1]).
        size mismatch for model.24.m.1.bias: copying a param with shape torch.Size([60]) from checkpoint, the shape in current model is torch.Size([63]).
        size mismatch for model.24.m.2.weight: copying a param with shape torch.Size([60, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([63, 512, 1, 1]).
        size mismatch for model.24.m.2.bias: copying a param with shape torch.Size([60]) from checkpoint, the shape in current model is torch.Size([63]).
```

The weights I used were trained a month back.
I might train again this month. I will post update if neededLuca Filippi recorded the fastest time on the first official test day of the 2011 Auto GP season, at Barcelona's Circuit de Catalunya.
The Italian, fresh from filling in for Coloni at the GP2 Asia round at Imola, tested for TP Formula in the morning before switching to Super Nova in the afternoon. After ending the morning session in third position, it was with the British team in the afternoon when Filippi recorded the day's benchmark time of 1m32.676. This was nearly half a second quicker than anybody else could manage.
Formula Renault graduate Giovanni Venturini topped the timesheets in the morning session, the Durango driver setting a time which was good enough to leave him second behind Filippi at the end of the day. Fellow rookie Kevin Ceccon was second quickest in the afternoon session for Ombra Racing, third overall.
Adrian Zaugg was second quickest behind Venturini in the morning for Super Nova, leaving the South African fourth overall by the end of the day. Jon Lancaster was fifth quickest on his Auto GP debut, driving for Campos Racing, just quicker than teammate Marco Barba.
Adrien Tambay was the quickest of the DAMS drivers, ahead of Lazarus's Fabrizio Crestani and another DAMS driver, Rio Haryanto. The second Lazarus car of Fabio Onidi ended the day eleventh overall, ahead of rookies Bruno Mendez and Samuele Buttarelli. Two other newcomers were Chris van der Drift, who took over from Filippi at TP Formula, and Sergei Afanasiev at DAMS. Giuseppe Cipriani rounded out the times for Durango.
Combined morning and afternoon timesA new initiative commences in Newham this summer to keep older people living in care homes, out of hospital. The new Enhanced Support pilot will be an additional service provided by the Newham Rapid Response Team and hopes to reduce unplanned or emergency hospital admissions by providing immediate nursing interventions to the patient, alongside the care given by care home staff.
Older people admitted into hospital in these circumstances can become disorientated and confused. They risk contracting further infections, or falling over in a new and unknown environment. They can become distressed by the change of routine and being looked after by unfamiliar staff and who may not fully understand their needs or preferred ways of doing things.
What Will be Different?
Three nursing homes have been selected to participate in the pilot which will last three months. The new approach aims to complement the resident’s usual care and will be a short term intervention. The Enhanced Support Team (a part of the Rapid Response Team) will not replace or change the way that care is currently given. They will simply enhance it if a resident develops a urinary tract infection, a chest infection, has a fall, shows signs of developing a pressure ulcer, or has symptoms which need to be acted on quickly.
Tracy Campbell, a Specialist Care of the Elderly Nurse, will be spearheading the initiative and working with care homes to provide the optimum support when a resident becomes unwell. She will observe what happens when a resident’s health deteriorates and support staff in managing their increased level of need. In addition she will review existing records and nursing care plans.
Additional supported will also be provided by the Therapy (Occupational Therapist & Physiotherapist) staff from the Rapid Response Team.
The team will review data from the Newham Council Quality Dashboard to identify residents who have had frequent emergency hospital admissions or ambulance call-outs. This will enable the whole team to review the circumstances that may have led to emergency admissions and consider other options or interventions that could support the person to stay in their own bed next time, and receive care in the security of a setting that they are familiar with.
Tracy is excited at the prospect of testing some new approaches to avoid hospital admissions. She said “There is much written about ways in which people can be supported at home to avoid the disruption and stress of a hospital admission. We know that older people resident in care homes are at increased risk of requiring emergency hospital admissions compared to the general population, due to the high of prevalence chronic disease.
This is a joint project involving Newham Care Commissioning Group, Newham Council and East London NHS Foundation Trust.
60 of these