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dvc.lock
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prepare_data:
cmd: python ./prepare_data.py --config ./configs/prepare_data.yml
deps:
- path: ./configs/prepare_data.yml
md5: 35cf285709de03be99eb22fa88c0bed7
size: 134
- path: ./prepare_data.py
md5: 788e607068111701be1f0a1e3816c4c2
size: 663
outs:
- path: ./train_data/simple-shapes
md5: 613de83857abba5bb72119d33f5bb4b0.dir
size: 25495416
nfiles: 5
train_model:
cmd: python ./train.py --config ./configs/base_params.yml
deps:
- path: ./configs/base_params.yml
md5: 14a4438a31729caa1a99572e5c6b0b3e
size: 71
- path: ./configs/prepare_data.yml
md5: 35cf285709de03be99eb22fa88c0bed7
size: 134
- path: ./nn_model
md5: 02ea25e5cf0793dc810d35572508e006.dir
size: 5847
nfiles: 6
- path: ./point_cloud_cls
md5: bf07b8e5c8a9d05da6f6c4973825ce54.dir
size: 19899
nfiles: 10
- path: ./train.py
md5: 95ae3daa22ea48459de3c218e8ba8a6d
size: 4986
- path: ./train_data/simple-shapes
md5: 613de83857abba5bb72119d33f5bb4b0.dir
size: 25495416
nfiles: 5
params:
train_param.py:
DataParams:
num_points: 512
ModelParams:
in_chan: 3
num_neighborhoods: 32
OptimizerParams:
lr: 0.1
betas:
- 0.9
- 0.999
eps: 1e-08
weight_decay: 0.01
amsgrad: false
SEED: 100
SchedulerParams:
T_max: 50
eta_min: 0.0001
verbose: true
TrainParams:
batch_size: 110
epochs: 50
valid_every: 10
benchmark: true
deterministic: true
outs:
- path: ./exp
md5: c01e7ed946ef08cec8e4d489fa25af1e.dir
size: 4416506
nfiles: 13
export_model:
cmd: python ./export_model.py --config ./configs/export_model.yml
deps:
- path: ./configs/export_model.yml
md5: 19225ac299dcabb1422278d4149d03c7
size: 139
- path: ./configs/prepare_data.yml
md5: 35cf285709de03be99eb22fa88c0bed7
size: 134
- path: ./exp/lightning_logs/version_0/checkpoints/epoch=49.ckpt
md5: db0bd0641f86c087db8e3ae6bfbc507d
size: 842935
- path: ./export_model.py
md5: 712636f4fcd0423a427bfda7089e0420
size: 3167
- path: ./point_cloud_cls
md5: bf07b8e5c8a9d05da6f6c4973825ce54.dir
size: 19899
nfiles: 10
outs:
- path: ./inference-data
md5: 999075a5ecc2e1af66f47d7e86fbe602.dir
size: 287745
nfiles: 3
test_prepare_data:
cmd: python ./prepare_data.py --config ./configs/prepare_test_data.yml
deps:
- path: ./configs/prepare_test_data.yml
md5: 3de22f25700ef2411899842d95c5e6f4
size: 109
- path: ./dataset/test-simple-dataset.7z
md5: 84d654b6dd2727a132f1004b60e74094
size: 4892
- path: ./prepare_data.py
md5: 788e607068111701be1f0a1e3816c4c2
size: 663
outs:
- path: ./train_data/small-test-shapes
md5: d92fefe8aa81ea07b74128191be62391.dir
size: 20152
nfiles: 5
test_train_model:
cmd: python ./train.py --config ./configs/base_params.yml --data_config ./configs/prepare_test_data.yml
--exp ./exp_test_run --fast_dev_run
deps:
- path: ./configs/base_params.yml
md5: 14a4438a31729caa1a99572e5c6b0b3e
size: 71
- path: ./nn_model
md5: 02ea25e5cf0793dc810d35572508e006.dir
size: 5847
nfiles: 6
- path: ./point_cloud_cls
md5: bf07b8e5c8a9d05da6f6c4973825ce54.dir
size: 19899
nfiles: 10
- path: ./train.py
md5: 95ae3daa22ea48459de3c218e8ba8a6d
size: 4986
- path: ./train_data/small-test-shapes
md5: d92fefe8aa81ea07b74128191be62391.dir
size: 20152
nfiles: 5
params:
train_param.py:
DataParams:
num_points: 512
ModelParams:
in_chan: 3
num_neighborhoods: 32
OptimizerParams:
lr: 0.1
betas:
- 0.9
- 0.999
eps: 1e-08
weight_decay: 0.01
amsgrad: false
SEED: 100
SchedulerParams:
T_max: 50
eta_min: 0.0001
verbose: true
TrainParams:
batch_size: 110
epochs: 50
valid_every: 10
benchmark: true
deterministic: true
outs:
- path: ./exp_test_run
md5: d751713988987e9331980363e24189ce.dir
size: 0
nfiles: 0