op depending on other parameters. The adjusted value is written to `output_min`.
If the `axis` attribute is specified, this must be a 1-D tensor whose size
matches the `axis` dimension of the input and output tensors.}]>:$min_range,
    Arg<TF_Float32Tensor, [{The maximum value of the quantization range. This value may be adjusted by the

                    targets a Service, it may have a distinct result per attached Gateway.


                    Policies targeting the same resource may have different effects depending on the
                    ancestors of those resources. For example, different Gateways targeting the same
                    Service may have different capabilities, especially if they have different underlying

        or provides additional installation flags.
    *   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.
    *   Depending on the installation method, TensorFlow 2.14 would be installed
        instead of 2.15, or users could receive an installation error due to
        those missing dependencies.

            "items": {
              "default": 0,
              "format": "int64",

          },
          "type": {
            "default": "",
            "type": "string"
          }
        },
        "required": [
          "type",
          "object"