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[TORCH] Exp JSONs
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@GuyPerets106
GuyPerets106 committed Aug 2, 2024
1 parent d44ddcd commit 18b76f5
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7 changes: 7 additions & 0 deletions inputJsonsFiles/ConnectionMap/conn_TorchTest_5d_2s_2r_4c_4w.json
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{
"connectionsMap":
{
"r1":["mainServer", "r2" , "s1", "c1", "c2"],
"r2":["r1", "s2" , "c3", "c4"]
}
}
177 changes: 177 additions & 0 deletions inputJsonsFiles/DistributedConfig/dc_FedTorchTest_5d_2s_2r_4c_4w.json
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{
"nerlnetSettings": {
"frequency": "300",
"batchSize": "300"
},
"mainServer": {
"port": "8900",
"args": ""
},
"apiServer": {
"port": "8901",
"args": ""
},
"devices": [
{
"name": "C0VM0",
"ipv4": "10.0.0.5",
"entities": "apiServer,mainServer"
},
{
"name": "Minion2",
"ipv4": "10.0.0.19",
"entities": "c1,r1,s1"
},
{
"name": "Minion3",
"ipv4": "10.0.0.20",
"entities": "c2,r2,s2"
},
{
"name": "Minion7",
"ipv4": "10.0.0.24",
"entities": "c3"
},
{
"name": "Minion8",
"ipv4": "10.0.0.25",
"entities": "c4"
}
],
"routers": [
{
"name": "r1",
"port": "8086",
"policy": "0"
},
{
"name": "r2",
"port": "8087",
"policy": "0"
}
],
"sources": [
{
"name": "s1",
"port": "8085",
"frequency": "200",
"policy": "0",
"epochs": "1",
"type": "0"
},
{
"name": "s2",
"port": "8085",
"frequency": "200",
"policy": "0",
"epochs": "1",
"type": "0"
}
],
"clients": [
{
"name": "c1",
"port": "8083",
"workers": "w1"
},
{
"name": "c2",
"port": "8083",
"workers": "w2"
},
{
"name": "c3",
"port": "8083",
"workers": "w3"
},
{
"name": "c4",
"port": "8083",
"workers": "w4"
}
],
"workers": [
{
"name": "w1",
"model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa"
},
{
"name": "w2",
"model_sha": "d8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa"
},
{
"name": "w3",
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},
{
"name": "w4",
"model_sha": "a8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa"
}
],
"model_sha": {
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"modelType": "0",
"_doc_modelType": " nn:0 | approximation:1 | classification:2 | forecasting:3 | image-classification:4 | text-classification:5 | text-generation:6 | auto-association:7 | autoencoder:8 | ae-classifier:9 |",
"modelArgs": "",
"layersSizes": "5,16,8,3",
"_doc_layersSizes": "List of postive integers [L0, L1, ..., LN]",
"layerTypesList": "1,3,3,3",
"_doc_LayerTypes": " Default:0 | Scaling:1 | CNN:2 | Perceptron:3 | Pooling:4 | Probabilistic:5 | LSTM:6 | Reccurrent:7 | Unscaling:8 |",
"layers_functions": "1,8,8,8",
"_doc_layers_functions_activation": " Threshold:1 | Sign:2 | Logistic:3 | Tanh:4 | Linear:5 | ReLU:6 | eLU:7 | SeLU:8 | Soft-plus:9 | Soft-sign:10 | Hard-sigmoid:11 |",
"_doc_layer_functions_pooling": " none:1 | Max:2 | Avg:3 |",
"_doc_layer_functions_probabilistic": " Binary:1 | Logistic:2 | Competitive:3 | Softmax:4 |",
"_doc_layer_functions_scaler": " none:1 | MinMax:2 | MeanStd:3 | STD:4 | Log:5 |",
"lossMethod": "2",
"_doc_lossMethod": " SSE:1 | MSE:2 | NSE:3 | MinkowskiE:4 | WSE:5 | CEE:6 |",
"lr": "0.001",
"_doc_lr": "Positve float",
"epochs": "1",
"_doc_epochs": "Positve Integer",
"optimizer": "5",
"_doc_optimizer": " GD:0 | CGD:1 | SGD:2 | QuasiNeuton:3 | LVM:4 | ADAM:5 |",
"optimizerArgs": "",
"_doc_optimizerArgs": "String",
"infraType": "0",
"_doc_infraType": " opennn:0 | wolfengine:1 |",
"distributedSystemType": "1",
"_doc_distributedSystemType": " none:0 | fedClientAvg:1 | fedServerAvg:2 |",
"distributedSystemArgs": "SyncMaxCount=50",
"_doc_distributedSystemArgs": "String",
"distributedSystemToken": "none",
"_doc_distributedSystemToken": "Token that associates distributed group of workers and parameter-server"
},
"a8df752e0a2e8f01de8f66e9cec941cdbc65d144ecf90ab7713e69d65e7e82aa": {
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"modelArgs": "",
"layersSizes": "5,16,8,3",
"_doc_layersSizes": "List of postive integers [L0, L1, ..., LN]",
"layerTypesList": "1,3,3,3",
"_doc_LayerTypes": " Default:0 | Scaling:1 | CNN:2 | Perceptron:3 | Pooling:4 | Probabilistic:5 | LSTM:6 | Reccurrent:7 | Unscaling:8 |",
"layers_functions": "1,8,8,8",
"_doc_layers_functions_activation": " Threshold:1 | Sign:2 | Logistic:3 | Tanh:4 | Linear:5 | ReLU:6 | eLU:7 | SeLU:8 | Soft-plus:9 | Soft-sign:10 | Hard-sigmoid:11 |",
"_doc_layer_functions_pooling": " none:1 | Max:2 | Avg:3 |",
"_doc_layer_functions_probabilistic": " Binary:1 | Logistic:2 | Competitive:3 | Softmax:4 |",
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"lossMethod": "2",
"_doc_lossMethod": " SSE:1 | MSE:2 | NSE:3 | MinkowskiE:4 | WSE:5 | CEE:6 |",
"lr": "0.001",
"_doc_lr": "Positve float",
"epochs": "1",
"_doc_epochs": "Positve Integer",
"optimizer": "5",
"_doc_optimizer": " GD:0 | CGD:1 | SGD:2 | QuasiNeuton:3 | LVM:4 | ADAM:5 |",
"optimizerArgs": "",
"_doc_optimizerArgs": "String",
"infraType": "0",
"_doc_infraType": " opennn:0 | wolfengine:1 |",
"distributedSystemType": "2",
"_doc_distributedSystemType": " none:0 | fedClientAvg:1 | fedServerAvg:2 |",
"distributedSystemArgs": "SyncMaxCount=50",
"_doc_distributedSystemArgs": "String",
"distributedSystemToken": "none",
"_doc_distributedSystemToken": "Token that associates distributed group of workers and parameter-server"
}
}
}
145 changes: 145 additions & 0 deletions inputJsonsFiles/DistributedConfig/dc_TorchTest_5d_2r_2s_4c_4w.json
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{
"nerlnetSettings": {
"frequency": "300",
"batchSize": "300"
},
"mainServer": {
"port": "8900",
"args": ""
},
"apiServer": {
"port": "8901",
"args": ""
},
"devices": [
{
"name": "C0VM0",
"ipv4": "10.0.0.5",
"entities": "apiServer,mainServer"
},
{
"name": "Minion2",
"ipv4": "10.0.0.19",
"entities": "c1,r1,s1"
},
{
"name": "Minion3",
"ipv4": "10.0.0.20",
"entities": "c2,r2,s2"
},
{
"name": "Minion7",
"ipv4": "10.0.0.24",
"entities": "c3"
},
{
"name": "Minion8",
"ipv4": "10.0.0.25",
"entities": "c4"
}
],
"routers": [
{
"name": "r1",
"port": "8086",
"policy": "0"
},
{
"name": "r2",
"port": "8087",
"policy": "0"
}
],
"sources": [
{
"name": "s1",
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"frequency": "200",
"policy": "0",
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},
{
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}
],
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{
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"port": "8083",
"workers": "w1"
},
{
"name": "c2",
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},
{
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},
{
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}
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{
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},
{
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},
{
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}
],
"model_sha": {
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"modelType": "0",
"_doc_modelType": " nn:0 | approximation:1 | classification:2 | forecasting:3 | image-classification:4 | text-classification:5 | text-generation:6 | auto-association:7 | autoencoder:8 | ae-classifier:9 |",
"modelArgs": "",
"layersSizes": "5,16,8,3",
"_doc_layersSizes": "List of postive integers [L0, L1, ..., LN]",
"layerTypesList": "1,3,3,3",
"_doc_LayerTypes": " Default:0 | Scaling:1 | CNN:2 | Perceptron:3 | Pooling:4 | Probabilistic:5 | LSTM:6 | Reccurrent:7 | Unscaling:8 |",
"layers_functions": "1,8,8,8",
"_doc_layers_functions_activation": " Threshold:1 | Sign:2 | Logistic:3 | Tanh:4 | Linear:5 | ReLU:6 | eLU:7 | SeLU:8 | Soft-plus:9 | Soft-sign:10 | Hard-sigmoid:11 |",
"_doc_layer_functions_pooling": " none:1 | Max:2 | Avg:3 |",
"_doc_layer_functions_probabilistic": " Binary:1 | Logistic:2 | Competitive:3 | Softmax:4 |",
"_doc_layer_functions_scaler": " none:1 | MinMax:2 | MeanStd:3 | STD:4 | Log:5 |",
"lossMethod": "2",
"_doc_lossMethod": " SSE:1 | MSE:2 | NSE:3 | MinkowskiE:4 | WSE:5 | CEE:6 |",
"lr": "0.001",
"_doc_lr": "Positve float",
"epochs": "1",
"_doc_epochs": "Positve Integer",
"optimizer": "5",
"_doc_optimizer": " GD:0 | CGD:1 | SGD:2 | QuasiNeuton:3 | LVM:4 | ADAM:5 |",
"optimizerArgs": "",
"_doc_optimizerArgs": "String",
"infraType": "0",
"_doc_infraType": " opennn:0 | wolfengine:1 |",
"distributedSystemType": "0",
"_doc_distributedSystemType": " none:0 | fedClientAvg:1 | fedServerAvg:2 |",
"distributedSystemArgs": "",
"_doc_distributedSystemArgs": "String",
"distributedSystemToken": "none",
"_doc_distributedSystemToken": "Token that associates distributed group of workers and parameter-server"
}
}
}
54 changes: 54 additions & 0 deletions inputJsonsFiles/experimentsFlow/exp_FedTorchTest_5d_2s_2r_4c_4w.json
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{
"experimentName": "synthetic_3_gausians",
"experimentType": "classification",
"batchSize": 300,
"csvFilePath": "/tmp/nerlnet/data/NerlnetData-master/nerlnet/synthetic_norm/synthetic_full.csv",
"numOfFeatures": "5",
"numOfLabels": "3",
"headersNames": "Norm(0:1),Norm(4:1),Norm(10:3)",
"Phases":
[
{
"phaseName": "training_phase",
"phaseType": "training",
"sourcePieces":
[
{
"sourceName": "s1",
"startingSample": "0",
"numOfBatches": "200",
"workers": "w1,w2",
"nerltensorType": "float"
},
{
"sourceName": "s2",
"startingSample": "0",
"numOfBatches": "200",
"workers": "w3",
"nerltensorType": "float"
}
]
},
{
"phaseName": "prediction_phase",
"phaseType": "prediction",
"sourcePieces":
[
{
"sourceName": "s1",
"startingSample": "60000",
"numOfBatches": "100",
"workers": "w1,w2",
"nerltensorType": "float"
},
{
"sourceName": "s2",
"startingSample": "60000",
"numOfBatches": "100",
"workers": "w3",
"nerltensorType": "float"
}
]
}
]
}
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