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Merge pull request #396 from leondavi/nn_tiles
Nn tiles - fix a bug and add multi -source
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{ | ||
"connectionsMap": | ||
{ | ||
"r1":["apiServer","mainServer", "c1", "s1_0", "r2","c2","c3"], | ||
"r2":["c4", "s2_0","r3","c7","c12"], | ||
"r3":["c5","s3_0" ,"r4","c8","c11"], | ||
"r4":["c6","s4_0", "r1","c9","c10"] | ||
} | ||
} |
391 changes: 391 additions & 0 deletions
391
examples/tiles3_mnist_example/dc_12w_12c_13d_4s_4r_tiles_rr.json
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examples/tiles3_mnist_example/exp_tiles_13d_12c_4s_4r_12w_rr.json
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{ | ||
"experimentName": "tiles_rr", | ||
"experimentType": "classification", | ||
"batchSize": 20, | ||
"csvFilePath": "/tmp/nerlnet/data/NerlnetData-master/nerlnet/Tiles_Mnist_sorted/mnist_tiles_sorted.csv", | ||
"numOfFeatures": "252", | ||
"numOfLabels": "10", | ||
"headersNames": "0,1,2,3,4,5,6,7,8,9", | ||
"Phases": | ||
[ | ||
{ | ||
"phaseName": "training_phase", | ||
"phaseType": "training", | ||
"sourcePieces": | ||
[ | ||
{ | ||
"sourceName": "s1_0", | ||
"startingSample": "0", | ||
"numOfBatches": "500", | ||
"workers": "w1_0,w1_1,w1_2,w1_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s2_0", | ||
"startingSample": "59999", | ||
"numOfBatches": "500", | ||
"workers": "w2_0,w2_1,w2_2,w2_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s3_0", | ||
"startingSample": "119998", | ||
"numOfBatches": "500", | ||
"workers": "w3_0,w3_1,w3_2,w3_3", | ||
"nerltensorType": "float" | ||
} | ||
] | ||
}, | ||
{ | ||
"phaseName": "training1_phase", | ||
"phaseType": "training", | ||
"sourcePieces": | ||
[ | ||
{ | ||
"sourceName": "s1_0", | ||
"startingSample": "10000", | ||
"numOfBatches": "500", | ||
"workers": "w1_0,w1_1,w1_2,w1_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s2_0", | ||
"startingSample": "69999", | ||
"numOfBatches": "500", | ||
"workers": "w2_0,w2_1,w2_2,w2_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s3_0", | ||
"startingSample": "129998", | ||
"numOfBatches": "500", | ||
"workers": "w3_0,w3_1,w3_2,w3_3", | ||
"nerltensorType": "float" | ||
} | ||
] | ||
}, | ||
{ | ||
"phaseName": "training2_phase", | ||
"phaseType": "training", | ||
"sourcePieces": | ||
[ | ||
{ | ||
"sourceName": "s1_0", | ||
"startingSample": "20000", | ||
"numOfBatches": "500", | ||
"workers": "w1_0,w1_1,w1_2,w1_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s2_0", | ||
"startingSample": "79999", | ||
"numOfBatches": "500", | ||
"workers": "w2_0,w2_1,w2_2,w2_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s3_0", | ||
"startingSample": "139998", | ||
"numOfBatches": "500", | ||
"workers": "w3_0,w3_1,w3_2,w3_3", | ||
"nerltensorType": "float" | ||
} | ||
] | ||
}, | ||
{ | ||
"phaseName": "prediction_phase", | ||
"phaseType": "prediction", | ||
"sourcePieces": | ||
[ | ||
{ | ||
"sourceName": "s1_0", | ||
"startingSample": "32000", | ||
"numOfBatches": "500", | ||
"workers": "w1_0,w1_1,w1_2,w1_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s2_0", | ||
"startingSample": "91999", | ||
"numOfBatches": "500", | ||
"workers": "w2_0,w2_1,w2_2,w2_3", | ||
"nerltensorType": "float" | ||
}, | ||
{ | ||
"sourceName": "s3_0", | ||
"startingSample": "151998", | ||
"numOfBatches": "500", | ||
"workers": "w3_0,w3_1,w3_2,w3_3", | ||
"nerltensorType": "float" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
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