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SaCS
Distributed Machine Learning
D-Cliques
Commits
215f0eda
Commit
215f0eda
authored
3 years ago
by
Erick Lavoie
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v2: added remove-clique-edges experiments
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7b038e21
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results-v2/dc-greedy-swap-rm-edges-mnist-2-shards-uneq-classes-fc.sh
+47
-0
47 additions, 0 deletions
...dc-greedy-swap-rm-edges-mnist-2-shards-uneq-classes-fc.sh
results-v2/dc-ideal-rm-edges-mnist-max-local-skew-fc.sh
+45
-0
45 additions, 0 deletions
results-v2/dc-ideal-rm-edges-mnist-max-local-skew-fc.sh
with
92 additions
and
0 deletions
results-v2/dc-greedy-swap-rm-edges-mnist-2-shards-uneq-classes-fc.sh
0 → 100755
+
47
−
0
View file @
215f0eda
#!/usr/bin/env bash
# Path to current script
SCRIPT_DIR
=
"
$(
cd
"
$(
dirname
"
${
BASH_SOURCE
[0]
}
"
)
"
&> /dev/null
&&
pwd
)
"
TOOLS
=
$SCRIPT_DIR
/
$(
cat
toolspath
)
;
cd
$TOOLS
# Add current working directory to executable namespace
export
PATH
=
$PATH
:
$TOOLS
# Setup root directory for resolution of imports:
# the path of all local python libraries are relative to this
export
PYTHONPATH
=
$TOOLS
# Each command outputs the run directory, which is then used
# by the next command to add parameters and generate information
# used by the simulator. For a list of available options for each
# command, run 'export PYTHONPATH=.; <command> --help'.
for
RM_EDGES
in
1 5
;
do
for
C_GRAD
in
'--clique-gradient'
''
;
do
for
SEED
in
1 2 3
;
do
setup/meta.py
\
--results-directory
$SCRIPT_DIR
/tmp
\
--seed
$SEED
|
setup/dataset.py
\
--name
mnist
\
--train-examples-per-class
4900 5600 4900 5100 4800 4500 4900 5200 4800 4900 |
setup/nodes/google-fl.py
\
--name
2-shards-uneq-classes
\
--nb-nodes
100
\
--local-shards
2
\
--shard-size
248 |
setup/topology/d_cliques/greedy_swap.py
\
--interclique
fully-connected
\
--remove-clique-edges
$RM_EDGES
\
--max-clique-size
10
\
--max-steps
1000 |
setup/model/linear.py |
simulate/algorithm/d_sgd.py
\
--batch-size
128
\
--learning-momentum
0.0
\
--learning-rate
0.1
\
$C_GRAD
|
simulate/logger.py
\
--nb-processes
8 |
simulate/run.py
\
--nb-epochs
100
;
done
;
done
;
done
This diff is collapsed.
Click to expand it.
results-v2/dc-ideal-rm-edges-mnist-max-local-skew-fc.sh
0 → 100755
+
45
−
0
View file @
215f0eda
#!/usr/bin/env bash
# Path to current script
SCRIPT_DIR
=
"
$(
cd
"
$(
dirname
"
${
BASH_SOURCE
[0]
}
"
)
"
&> /dev/null
&&
pwd
)
"
TOOLS
=
$SCRIPT_DIR
/
$(
cat
toolspath
)
;
cd
$TOOLS
# Add current working directory to executable namespace
export
PATH
=
$PATH
:
$TOOLS
# Setup root directory for resolution of imports:
# the path of all local python libraries are relative to this
export
PYTHONPATH
=
$TOOLS
# Each command outputs the run directory, which is then used
# by the next command to add parameters and generate information
# used by the simulator. For a list of available options for each
# command, run 'export PYTHONPATH=.; <command> --help'.
for
RM_EDGES
in
1 5
;
do
for
C_GRAD
in
'--clique-gradient'
''
;
do
for
SEED
in
1 2 3
;
do
setup/meta.py
\
--results-directory
$SCRIPT_DIR
/tmp
\
--seed
$SEED
|
setup/dataset.py
\
--name
mnist
\
--train-examples-per-class
4500 4500 4500 4500 4500 4500 4500 4500 4500 4500 |
setup/nodes.py
\
--name
max-local-skew
\
--nb-nodes
100
\
--local-classes
1
\
--nodes-per-class
10 10 10 10 10 10 10 10 10 10 |
setup/topology/d_cliques/ideal.py
\
--interclique
fully-connected
\
--remove-clique-edges
$RM_EDGES
|
setup/model/linear.py |
simulate/algorithm/d_sgd.py
\
--batch-size
128
\
--learning-momentum
0.0
\
--learning-rate
0.1
\
$C_GRAD
|
simulate/logger.py
\
--nb-processes
8 |
simulate/run.py
\
--nb-epochs
100
;
done
;
done
;
done
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