{ }
Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
tf.raw_ops.SparseTensorDenseMatMul(
a_indices,
a_values,
a_shape,
b,
adjoint_a=False,
adjoint_b=False,
name=None
)
No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:
if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order).
Returns | |
---|---|
A Tensor . Has the same type as a_values .
|