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

        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",