Function QuantizedConcat

tensorflow/go/op/wrappers.go:339–351

Concatenates quantized tensors along one dimension. Arguments: concat_dim: 0-D. The dimension along which to concatenate. Must be in the range [0, rank(values)). values: The `N` Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except `concat

(scope *Scope, concat_dim tf.Output, values []tf.Output, input_mins []tf.Output, input_maxes []tf.Output)

// `concat_dim` dimension.  This tensor's shape matches that of `values` except
// in `concat_dim` where it has the sum of the sizes.The float value that the minimum quantized output value represents.The float value that the maximum quantized output value represents.
func QuantizedConcat(scope *Scope, concat_dim tf.Output, values []tf.Output, input_mins []tf.Output, input_maxes []tf.Output) (output tf.Output, output_min tf.Output, output_max tf.Output) {
	if scope.Err() != nil {
		return
	}
	opspec := tf.OpSpec{
		Type: "QuantizedConcat",
		Input: []tf.Input{
			concat_dim, tf.OutputList(values), tf.OutputList(input_mins), tf.OutputList(input_maxes),
		},
	}
	op := scope.AddOperation(opspec)
	return op.Output(0), op.Output(1), op.Output(2)
}

// QuantizeV2Attr is an optional argument to QuantizeV2.
type QuantizeV2Attr func(optionalAttr)