Jrahn's workspace
Runs
10
Name
7 visualized
Runtime
Hostname
Notes
GPU Type
GPU Count
Tags
FetchPredsCallback.dl._name
FetchPredsCallback.dl.bs
FetchPredsCallback.dl.dataset
FetchPredsCallback.dl.device
FetchPredsCallback.dl.drop_last
FetchPredsCallback.dl.indexed
FetchPredsCallback.dl.n
FetchPredsCallback.dl.pin_memory
FetchPredsCallback.dl.shuffle
FetchPredsCallback.dl.timeout
FetchPredsCallback.ds_idx
FetchPredsCallback.reorder
FetchPredsCallback.with_decoded
FetchPredsCallback.with_input
Learner.loss_func._name._name
Learner.loss_func._name._name._name
Learner.loss_func._name._name._name._name
Learner.loss_func._name._name._name._name._name
Learner.loss_func._name._name._name._name._name._name._name
Learner.loss_func._name._name._name._name._name._name.axis
Learner.loss_func._name._name._name._name._name._name.flatten
Learner.loss_func._name._name._name._name._name._name.floatify
Learner.loss_func._name._name._name._name._name._name.is_2d
Learner.loss_func._name._name._name._name._name.axis
Learner.loss_func._name._name._name._name._name.flatten
Learner.loss_func._name._name._name._name._name.floatify
Learner.loss_func._name._name._name._name._name.is_2d
Learner.loss_func._name._name._name._name.axis
Learner.loss_func._name._name._name._name.flatten
Learner.loss_func._name._name._name._name.floatify
Learner.loss_func._name._name._name._name.is_2d
Learner.loss_func._name._name._name.axis
Learner.loss_func._name._name._name.flatten
Learner.loss_func._name._name._name.floatify
Learner.loss_func._name._name._name.is_2d
Learner.loss_func._name._name.axis
Learner.loss_func._name._name.flatten
Learner.loss_func._name._name.floatify
Learner.loss_func._name._name.is_2d
Learner.path
batch per epoch
batch size
dataset.tfms
device
2h 10m 44s
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GeForce RTX 3060
2
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FlattenedLoss of CrossEntropyLoss()
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datasets\deepfashion\data\img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
3h 8m 8s
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GeForce RTX 3060
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FlattenedLoss of CrossEntropyLoss()
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false
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false
true
datasets\deepfashion\data\img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
3h 21m 56s
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GeForce RTX 3060
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FlattenedLoss of CrossEntropyLoss()
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datasets\deepfashion\data\img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
1h 36m 45s
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GeForce RTX 3060
2
<fastai.data.core.TfmdDL object at 0x0000025EFD6AB748>
64
(#36) [(PILImage mode=RGB size=257x300, TensorCategory(53)),(PILImage mode=RGB size=224x274, TensorCategory(23)),(PILImage mode=RGB size=193x193, TensorCategory(34)),(PILImage mode=RGB size=300x300, TensorCategory(34)),(PILImage mode=RGB size=200x300, TensorCategory(0)),(PILImage mode=RGB size=200x250, TensorCategory(47)),(PILImage mode=RGB size=197x300, TensorCategory(20)),(PILImage mode=RGB size=169x300, TensorCategory(40)),(PILImage mode=RGB size=205x301, TensorCategory(20)),(PILImage mode=RGB size=210x280, TensorCategory(34))...]
cuda:1
false
true
36
false
false
0
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true
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true
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FlattenedLoss of CrossEntropyLoss()
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false
true
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false
true
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false
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false
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datasets\deepfashion\data\img
1189
64
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4h 14m
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GeForce RTX 3060
2
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FlattenedLoss of CrossEntropyLoss()
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datasets\deepfashion\data\img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
3h 22m 37s
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Tesla K80
1
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FlattenedLoss of CrossEntropyLoss()
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img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
3h 11m 45s
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Tesla K80
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FlattenedLoss of CrossEntropyLoss()
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img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
40m 52s
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GeForce RTX 3060
2
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FlattenedLoss of CrossEntropyLoss()
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datasets\deepfashion\data\img
2379
32
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
2h 2m 47s
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Tesla K80
1
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FlattenedLoss of CrossEntropyLoss()
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img
1189
64
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
2h 13m 26s
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GeForce RTX 3060
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FlattenedLoss of CrossEntropyLoss()
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datasets\deepfashion\data\img
594
128
[Pipeline: PILBase.create, Pipeline: label_func -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
1-10
of 10