tfp.substrates.numpy.math.sparse_or_dense_matmul

Returns (batched) matmul of a SparseTensor (or Tensor) with a Tensor.

Main aliases

tfp.substrates.numpy.math.sparse_or_dense_matmul(
    sparse_or_dense_a, dense_b, validate_args=False, name=None, **kwargs
)

Args
`sparse_or_dense_a`	`SparseTensor` or `Tensor` representing a (batch of) matrices.
`dense_b`	`Tensor` representing a (batch of) matrices, with the same batch shape as `sparse_or_dense_a`. The shape must be compatible with the shape of `sparse_or_dense_a` and kwargs.
`validate_args`	When `True`, additional assertions might be embedded in the graph. Default value: `False` (i.e., no graph assertions are added).
`name`	Python `str` prefixed to ops created by this function. Default value: 'sparse_or_dense_matmul'.
`**kwargs`	Keyword arguments to `tf.sparse_tensor_dense_matmul` or `tf.matmul`.

Returns
`product`	A dense (batch of) matrix-shaped Tensor of the same batch shape and dtype as `sparse_or_dense_a` and `dense_b`. If `sparse_or_dense_a` or `dense_b` is adjointed through `kwargs` then the shape is adjusted accordingly.

Args