var sbuf [24]byte
			print("init ", pkg, " @")
			print(string(fmtNSAsMS(sbuf[:], uint64(start-runtimeInitTime))), " ms, ")
			print(string(fmtNSAsMS(sbuf[:], uint64(end-start))), " ms clock, ")
			print(string(itoa(sbuf[:], after.bytes-before.bytes)), " bytes, ")
			print(string(itoa(sbuf[:], after.allocs-before.allocs)), " allocs")
			print("\n")
		}

isArray(i.content))return i.content.every(t=>typeof t=="string"?!0:!(typeof t?.raw!="string"||t?.extension&&typeof t?.extension!="string"));if(typeof i.content=="object"&&i.content!==null){if(Object.keys(i.content).some(t=>!["files","relative","extract","transform"].includes(t)))return!1;if(Array.isArray(i.content.files)){if(!i.content.files.every(t=>typeof t=="string"?!0:!(typeof t?.raw!="string"||t?.extension&&typeof t?.extension!="string")))return!1;if(typeof i.content.extract=="object"){for(let...

    *   The byte layout for string tensors across the C-API has been updated to
        match TF Core/C++; i.e., a contiguous array of
        `tensorflow::tstring`/`TF_TString`s.
    *   C-API functions `TF_StringDecode`, `TF_StringEncode`, and
        `TF_StringEncodedSize` are no longer relevant and have been removed; see
        `core/platform/ctstring.h` for string access/modification in C.

def TF_ReduceJoinOp : TF_Op<"ReduceJoin", [Pure]> {
  let summary = "Joins a string Tensor across the given dimensions.";

  let description = [{
Computes the string join across dimensions in the given string Tensor of shape
`[\\(d_0, d_1, ..., d_{n-1}\\)]`.  Returns a new Tensor created by joining the input
strings with the given separator (default: empty string).  Negative indices are