[GitHub] aksnzhy opened a new pull request #13392: add csr sample op

[GitBox <gi...@apache.org>]

aksnzhy opened a new pull request #13392: add csr sample op
URL: https://github.com/apache/incubator-mxnet/pull/13392
 
 
   This pr add the graph sampling op, which will be used in the DGL project.
   @zheng-da Please review this pr. Thanks!
   
   For example:
   
   ```
   shape = (5, 5)
   prob = mx.nd.array([0.9, 0.8, 0.2, 0.4, 0.1], dtype=np.float32)
   data_np = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20], dtype=np.int64)
   indices_np = np.array([1,2,3,4,0,2,3,4,0,1,3,4,0,1,2,4,0,1,2,3], dtype=np.int64)
   indptr_np = np.array([0,4,8,12,16,20], dtype=np.int64)
   a = mx.nd.sparse.csr_matrix((data_np, indices_np, indptr_np), shape=shape)
   
   seed = mx.nd.array([0,1,2,3,4], dtype=np.int64)
   out = mx.nd.contrib.csr_neighbor_non_uniform_sample(a, prob, seed, num_args=3, num_hops=1, num_neighbor=2, max_num_vertices=5)
   ```
   

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