'device': '/gpu:1', #####ISTA PARAMS###### 'numIterations': 100000, 'displayPeriod': 200, #Batch size 'batchSize': 32, #Learning rate for optimizer 'learningRateA': 1e-3, 'learningRateW': 1e-4, #Lambda in energy function 'thresh': .015, #Number of features in V1 'numV': 128, #Stride of V1 'VStrideY': 2, 'VStrideX': 2, #Patch size 'patchSizeY': 12, 'patchSizeX': 12, } #Allocate tensorflow object tfObj = ISTA(params, trainDataObj) print "Done init" tfObj.writePvpWeights(outPvpPrefix, rect=False) print "Done run" tfObj.closeSess()
#Device to run on 'device': '/gpu:1', #####ISTA PARAMS###### 'numIterations': 100000, 'displayPeriod': 200, #Batch size 'batchSize': 32, #Learning rate for optimizer 'learningRateA': 1e-3, 'learningRateW': 1e-4, #Lambda in energy function 'thresh': .015, #Number of features in V1 'numV': 128, #Stride of V1 'VStrideY': 2, 'VStrideX': 2, #Patch size 'patchSizeY': 12, 'patchSizeX': 12, } #Allocate tensorflow object tfObj = ISTA(params, trainDataObj) print "Done init" tfObj.writePvpWeights(outPvpPrefix, rect=False) print "Done run" tfObj.closeSess()