python - Fast sequential lists for tensorflow? -


i have array a of matrices (or 3-dim tensor) , want following:

denote each matrix number, a [1,2,3,4,...,], , let's have window of length 3, want pass input tensorflow graph 4-dim array [[1,2,3],[2,3,4],[3,4,5],....]. what's efficient way of doing this? (it's bit convolution constant kernel, without summing on resulting matrices).

at moment i'm doing:

input_nn = [data[t, t + window] t in range(my_range)]

and pass tf placeholder.

shall think of better way of doing in numpy , pass result placeholder or there fast way of doing in tensorflow passing a directly?


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