Commit b210695f authored by chicm-ms's avatar chicm-ms Committed by GitHub
Browse files

Merge branch 'master' into dev-pruner-dataparallel

parents c7d58033 fdfff50d
...@@ -23,10 +23,13 @@ trial: ...@@ -23,10 +23,13 @@ trial:
memoryMB: 32869 memoryMB: 32869
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
authorName: default
experimentName: example_ga_squad
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
#choice: true, false
useAnnotation: false
#Your nni_manager ip
nniManagerIp: 10.10.10.10
tuner:
codeDir: ../../tuners/ga_customer_tuner
classFileName: customer_tuner.py
className: CustomerTuner
classArgs:
optimize_mode: maximize
trial:
command: chmod +x ./download.sh && ./download.sh && python3 trial.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 32869
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
...@@ -27,10 +27,13 @@ trial: ...@@ -27,10 +27,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
authorName: default
experimentName: example_mnist_hyperband
maxExecDuration: 1h
maxTrialNum: 10000
trialConcurrency: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
advisor:
#choice: Hyperband, BOHB
#(BOHB should be installed through nnictl)
builtinAdvisorName: Hyperband
classArgs:
#R: the maximum trial budget
R: 100
#eta: proportion of discarded trials
eta: 3
#choice: maximize, minimize
optimize_mode: maximize
trial:
command: python3 mnist.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
...@@ -22,10 +22,13 @@ trial: ...@@ -22,10 +22,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
#choice: true, false
useAnnotation: true
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: TPE
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
trial:
command: python3 mnist.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
...@@ -20,10 +20,13 @@ trial: ...@@ -20,10 +20,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
authorName: default
experimentName: example_mnist-keras
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: BatchTuner
trial:
command: python3 mnist-keras.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
...@@ -23,10 +23,13 @@ trial: ...@@ -23,10 +23,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_mnist-keras
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: TPE
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
trial:
command: python3 mnist-keras.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
...@@ -23,10 +23,13 @@ trial: ...@@ -23,10 +23,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_mnist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: TPE
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
trial:
command: python3 mnist.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
...@@ -23,10 +23,13 @@ trial: ...@@ -23,10 +23,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: TPE
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
trial:
command: python3 mnist.py
codeDir: .
gpuNum: 0
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
authorName: Unknown
experimentName: enas_macro
trialConcurrency: 20
maxExecDuration: 2400h
maxTrialNum: 20000
#choice: local, remote
trainingServicePlatform: paiYarn
#choice: true, false
useAnnotation: true
multiPhase: false
versionCheck: false
nniManagerIp: 0.0.0.0
tuner:
builtinTunerName: PPOTuner
classArgs:
optimize_mode: maximize
trials_per_update: 60
epochs_per_update: 20
minibatch_size: 6
trial:
command: sh ./macro_cifar10_pai.sh
codeDir: ./
gpuNum: 1
cpuNum: 1
memoryMB: 8196
image: msranni/nni:latest
virtualCluster: nni
paiYarnConfig:
userName: your_account
passWord: your_passwd
host: 0.0.0.0
...@@ -25,7 +25,10 @@ trial: ...@@ -25,7 +25,10 @@ trial:
memoryMB: 8196 memoryMB: 8196
image: msranni/nni:latest image: msranni/nni:latest
virtualCluster: nni virtualCluster: nni
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
userName: your_account userName: your_account
passWord: your_pwd token: your_token
host: 0.0.0.0 host: 0.0.0.0
...@@ -30,10 +30,13 @@ trial: ...@@ -30,10 +30,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_FashionMNIST-network-morphism
trialConcurrency: 1
maxExecDuration: 24h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, NetworkMorphism
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: NetworkMorphism
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
# for now, this tuner only supports cv domain
task: cv
#input image width
input_width: 28
#input image channel
input_channel: 1
#number of classes
n_output_node: 10
trial:
command: python3 FashionMNIST_keras.py
codeDir: .
gpuNum: 1
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
...@@ -30,10 +30,13 @@ trial: ...@@ -30,10 +30,13 @@ trial:
memoryMB: 8196 memoryMB: 8196
#The docker image to run nni job on pai #The docker image to run nni job on pai
image: msranni/nni:latest image: msranni/nni:latest
nniManagerNFSMountPath: /home/user/mnt
containerNFSMountPath: /mnt/data/user
paiStoragePlugin: team_wise
paiConfig: paiConfig:
#The username to login pai #The username to login pai
userName: username userName: username
#The password to login pai #The token to login pai
passWord: password token: token
#The host of restful server of pai #The host of restful server of pai
host: 10.10.10.10 host: 10.10.10.10
\ No newline at end of file
authorName: default
experimentName: example_cifar10-network-morphism
trialConcurrency: 1
maxExecDuration: 24h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: paiYarn
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, NetworkMorphism
#SMAC (SMAC should be installed through nnictl)
builtinTunerName: NetworkMorphism
classArgs:
#choice: maximize, minimize
optimize_mode: maximize
# for now, this tuner only supports cv domain
task: cv
#input image width
input_width: 32
#input image channel
input_channel: 3
#number of classes
n_output_node: 10
trial:
command: python3 cifar10_keras.py
codeDir: .
gpuNum: 1
cpuNum: 1
memoryMB: 8196
#The docker image to run nni job on pai
image: msranni/nni:latest
paiYarnConfig:
#The username to login pai
userName: username
#The password to login pai
passWord: password
#The host of restful server of pai
host: 10.10.10.10
\ No newline at end of file
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