【Sparse】add SparseTensor mv kernel(csr*dense_vec->dence_vec, coo*dense_vec->dense_vec)

[zhwesky2010]

PR types

New features

PR changes

OPs

Describe

paddle.incubate.sparse.mv

import paddle
from paddle.fluid.framework import _test_eager_guard 
paddle.seed(100)

# csr @ dense -> dense
with _test_eager_guard():         
    crows = [0, 2, 3, 5]
    cols = [1, 3, 2, 0, 1]
    values = [1., 2., 3., 4., 5.]
    dense_shape = [3, 4]
    csr = paddle.incubate.sparse.sparse_csr_tensor(crows, cols, values, dense_shape)
    # Tensor(shape=[3, 4], dtype=paddle.float32, place=Place(gpu:0), stop_gradient=True, 
    #        crows=[0, 2, 3, 5], 
    #        cols=[1, 3, 2, 0, 1], 
    #        values=[1., 2., 3., 4., 5.])
    
    vec = paddle.randn([4])
    
    out = paddle.incubate.sparse.mv(csr, vec)
    # Tensor(shape=[3], dtype=float32, place=Place(gpu:0), stop_gradient=True,
    #        [-3.85499096, -2.42975140, -1.75087738])

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[chenwhql]

LGTM for const_cast