sparse matrix - Embedding_lookup_sparse of tensorflow without combiner -


in tensorflow, tf.nn.embedding_lookup_sparse must use combiner, donot want combine result.

for example, weights are: 

[[1, 0], [0, 1], [2, 0], [3, 0], [1, 1]]

sparse_ids 

sparsetensorvalue(indices=array([[0, 0], [0, 1], [0, 2], [0, 3], [0, 4]]), values=array([0, 1, 2, 3, 4]), dense_shape=array([1, 5]))

sparse_values

sparsetensorvalue(indices=array([[0, 0], [0, 1], [0, 2], [0, 3], [0, 4]]), values=array([ 1.        ,  2.        ,  3.20000005,  4.        ,  5.        ], dtype=float32), dense_shape=array([1, 5]))

the result of embedding_lookup_sparse is

[[ 1.60526316  0.47368421]]

but hope result is

[[1, 0],  [0, 2],  [6.4, 0],  [12, 0],  [5, 5]]


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