Function Cumprod

tensorflow/go/op/wrappers.go:22185–22202

Compute the cumulative product of the tensor `x` along `axis`. By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output: ```python tf.cumprod([a, b, c]) # => [a, a * b, a * b * c] ``` By setting the `exclus

(scope *Scope, x tf.Output, axis tf.Output, optional ...CumprodAttr)

//	axis: A `Tensor` of type `int32` (default: 0). Must be in the range
// `[-rank(x), rank(x))`.
func Cumprod(scope *Scope, x tf.Output, axis tf.Output, optional ...CumprodAttr) (out tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "Cumprod",
		Input: []tf.Input{
			x, axis,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// Generate a glob pattern matching all sharded file names.
func ShardedFilespec(scope *Scope, basename tf.Output, num_shards tf.Output) (filename tf.Output) {