Comments (1)
snoop2head
commented on June 3, 2024
Extension of issue #14
Display distribution of primary indices for lightweight models
- inference time(CUDA and CPU time)
- FLOPS
- number of hyperparams
- number of layers
from elimnet.
Related Issues (10)
- Test on pretrained mobilenetv3 and on vgg11 HOT 3
- Check the discrepancy between two resnet18 implementations HOT 1
- Apply FP16 for pretrained efficientnetb0 experimentation HOT 1
- Display distribution of primary indices for lightweight models HOT 1
- Divide model directory by model HOT 2
- Illustrate performance gain of each pretrained models & how each models got lighter HOT 2
- Enable layer numbers based elimination from input arguments HOT 1
- Create WandB Log to compare between models' performances
- Use torchvision version 0.11.0 HOT 2
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from elimnet.