void MarkAsResult(AbstractTensorHandle* gradient) const override;

  void DeleteGradient(AbstractTensorHandle* gradient) const override;

 private:
  // The context where the aggregation op `Add` is to be created.
  AbstractContext* ctx_;
};

// Returns the number of elements in the gradient tensor.
int64_t TapeVSpace::NumElements(AbstractTensorHandle* tensor) const {

  TF_AddInput(desc, {input, 0});
  TF_SetAttrInt(desc, "num_split", 3);
  TF_SetAttrType(desc, "T", TF_INT32);
  // Set device to CPU since there is no version of split for int32 on GPU
  // TODO(iga): Convert all these helpers and tests to use floats because
  // they are usually available on GPUs. After doing this, remove TF_SetDevice
  // call in c_api_function_test.cc
  TF_SetDevice(desc, "/cpu:0");

    if (http2Connection == null) return false

    // 2. The routes must share an IP address.
    if (routes == null || !routeMatchesAny(routes)) return false

    // 3. This connection's server certificate's must cover the new host.
    if (address.hostnameVerifier !== OkHostnameVerifier) return false
    if (!supportsUrl(address.url)) return false

    // 4. Certificate pinning must match the host.
    try {

	}
	return time.Parse(MinioReleaseTagTimeLayout, fields[1])
}

// getModTime - get the file modification time of `path`
func getModTime(path string) (t time.Time, err error) {
	// Convert to absolute path
	absPath, err := filepath.Abs(path)
	if err != nil {
		return t, fmt.Errorf("Unable to get absolute path of %s. %w", path, err)
	}

	// Version is minio non-standard, we will use minio binary's

## Ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}
tolerations: []
affinity: {}
topologySpreadConstraints: []

## Add stateful containers to have security context, if enabled MinIO will run as this
## user and group NOTE: securityContext is only enabled if persistence.enabled=true
securityContext:
  enabled: true
  runAsUser: 1000
  runAsGroup: 1000
  fsGroup: 1000

//           names of the operations (usually placeholders) pointed to by
//           `inputs`. These operation names should start with a letter.
//           Normalization will convert all letters to lowercase and
//           non-alphanumeric characters to '_' to make resulting names match
//           the "[a-z][a-z0-9_]*" pattern for operation argument names.

   * the input, and if the input is cancelled, the returned {@code Future} will receive a callback
   * in which it will attempt to cancel itself.
   *
   * <p>An example use of this method is to convert a serializable object returned from an RPC into
   * a POJO.
   *
   * <p>This method is similar to {@link java.util.concurrent.CompletableFuture#thenApply} and

debugging information with `--config=dbg`, as issues occur on Linux if
there is too much debug info (see [this GitHub
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If
you want to debug a kernel, you can compile specific files with `-g` using the
`--per_file_copt` bazel option. For example, if you want to debug the Identity
op, which are in files starting with `identity_op`, you can run

1. If the destination is on our node, we "fast path" the request and convert this into an inbound request.
   This has the same semantics as if we had sent a request back to ourselves, but is more efficient and reduces complexity in the Ztunnel.

func getHost(r *http.Request) string {
	if r.URL.IsAbs() {
		return r.URL.Host
	}
	return r.Host
}

func notImplementedHandler(w http.ResponseWriter, r *http.Request) {
	writeErrorResponse(r.Context(), w, errorCodes.ToAPIErr(ErrNotImplemented), r.URL)
}

type rejectedAPI struct {
	api     string
	methods []string
	queries []string
	path    string
}

var rejectedObjAPIs = []rejectedAPI{
	{