Multiplies slices of two tensors in batches.
tf.raw_ops.BatchMatMul(
x, y, adj_x=False, adj_y=False, name=None
)
Multiplies all slices of Tensor
x
and y
(each slice can be
viewed as an element of a batch), and arranges the individual results
in a single output tensor of the same batch size. Each of the
individual slices can optionally be adjointed (to adjoint a matrix
means to transpose and conjugate it) before multiplication by setting
the adj_x
or adj_y
flag to True
, which are by default False
.
The input tensors x
and y
are 2-D or higher with shape [..., r_x, c_x]
and [..., r_y, c_y]
.
The output tensor is 2-D or higher with shape [..., r_o, c_o]
, where:
r_o = c_x if adj_x else r_x
c_o = r_y if adj_y else c_y
It is computed as | |
---|---|
output[..., :, :] = matrix(x[..., :, :]) * matrix(y[..., :, :]) |
Returns | |
---|---|
A Tensor . Has the same type as x .
|