Function MatMul

tensorflow/go/op/wrappers.go:34472–34489

Multiply the matrix "a" by the matrix "b". The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after being transposed if transposed_b is true). *Note*: The default kernel implementation fo

(scope *Scope, a tf.Output, b tf.Output, optional ...MatMulAttr)

// *Note*: The default kernel implementation for MatMul on GPUs uses
// cublas.
func MatMul(scope *Scope, a tf.Output, b tf.Output, optional ...MatMulAttr) (product tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "MatMul",
		Input: []tf.Input{
			a, b,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// Elementwise computes the bitwise left-shift of `x` and `y`.
//