def computeDFT(dataset, execTimes):
result, compute_time, communication_time, decode_time = matrixMulKernelMaster(
0, dataset, execTimes)
#weights = DFTMatrix(NUM_BINS)
#verify = dataset.dot(weights)
#print 'verifying results, maximum of the element difference is', np.max(np.abs(result-verify))
return result, compute_time, communication_time, decode_time
def computeGrad(k, n, iteration, dataset, weights, partitions, execTimes):
result, compute_time, communication_time, decode_time = matrixMulKernelMaster(iteration, dataset, execTimes)
return result, compute_time, communication_time, decode_time
def computeProb(k, n, iteration, dataset, weights, partitions, execTimes):
result, compute_time, communication_time, decode_time = matrixMulKernelMaster(iteration, dataset, execTimes)
result = 1.0 / (1 + np.exp(-1*result))
return result, compute_time, communication_time, decode_time
