  void Compute(OpKernelContext* context) override {
    const Tensor& tensor_in = context->input(0);
    OP_REQUIRES(context, tensor_in.dims() == 4,
                errors::InvalidArgument("tensor_in must be 4-dimensional (2)"));
    OP_REQUIRES(context, tensor_in.NumElements() > 0,
                errors::InvalidArgument("tensor_in must not be empty (2)"));

    PoolParameters params{context,
                          ksize_,
                          stride_,
                          padding_,
                          /*explicit_paddings=*/{},
                          FORMAT_NHWC,
                          tensor_in.shape()};
    if (!context->status().ok()) {
      return;
    }

    TensorShape out_shape({params.tensor_in_batch, params.out_height,
                           params.out_width, params.depth});
    Tensor* output = nullptr;
    OP_REQUIRES_OK(context, context->allocate_output(0, out_shape, &output));
    Tensor* argmax = nullptr;
    OP_REQUIRES_OK(context, context->allocate_output(1, out_shape, &argmax));

    LaunchMaxPoolingWithArgmax<Device, T, Targmax>::launch(
        context, params, tensor_in, output, argmax, propagate_nans_,
        include_batch_in_index_);
  }
The product receives input or data, but it does
        not validate or incorrectly validates that the input has the
        properties that are required to process the data safely and
        correctly.