Function BatchMatMul

tensorflow/go/op/wrappers.go:31583–31600

Multiplies slices of two tensors in batches. 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

(scope *Scope, x tf.Output, y tf.Output, optional ...BatchMatMulAttr)

//
// Returns 3-D or higher with shape `[..., r_o, c_o]`
func BatchMatMul(scope *Scope, x tf.Output, y tf.Output, optional ...BatchMatMulAttr) (output tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "BatchMatMul",
		Input: []tf.Input{
			x, y,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// MatrixSolveLsAttr is an optional argument to MatrixSolveLs.
type MatrixSolveLsAttr func(optionalAttr)