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Pytorch Single-node, Multi-GPU Report
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Pytorch Single-node, Multi-GPU Report
Niels Bantilan
Created on August 12
|
Last edited on August 17
Comment
runs
.
summary
["
mnist_predictions
"]
⏎
Filter
0_0
7
7
4.609e-7
9.607e-8
id
image
guess
truth
score_0
score_1
score_2
score_3
score_4
score_5
score_6
score_7
score_8
score_9
1
2
3
4
5
6
7
accuracy
accuracy
50
100
150
200
250
300
Step
0.92
0.94
0.96
0.98
epoch
epoch
0
50
100
150
200
250
300
Step
2
4
6
8
10
12
test_loss
test_loss
50
100
150
200
250
300
Step
0.05
0.1
0.15
0.2
0.25
0.3
loss
loss
0
50
100
150
200
250
300
Step
0.5
1
1.5
2
Run set
1
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List<File<(table)>>
Ops
.contents
.count
.digest
.dropna
.filter((row) => row)
.isNone
.join(, (row) => row, (row) => row, "", "", , )
.joinToStr("")
.map((row, index) => row)
.merge("")
.size
.table
.table("")
[]
.project
.run