edgeR VS deseq normalization

[narges]

Hi,

I intend to run RNA-seq analysis using DESeq package. But since I am working on TMM normalization method I wanted to run DESeq with TMM as well. I wanted to ask if it is enough if I pass the "norm.factors" obtained from "calcNormFactors" from edgeR to "sizeFactor" of DESeq. Or I should multiply the "norm.factors" by library size and then passed it to DESeq?
Or do you think it is meaningful or not?
So either of these:

normFactor <- calcNormFactors(countTable)
scale <- countTable$samples$lib.size*countTable$samples$norm.factors
cds <- newCountDataSet(countTable, conditions)
pData(cds)$sizeFactor <- scale

OR:

normFactor <- calcNormFactors(countTable)
cds <- newCountDataSet(countTable, conditions)
pData(cds)$sizeFactor <- normFactor

Thanks in advance