tensorflow::TensorShape ToTensorShape(llvm::ArrayRef<T> sizes) {
  return tensorflow::TensorShape(
      llvm::SmallVector<int64_t, num_dims>(sizes.begin(), sizes.end()));
}

template <typename T, int num_dims>
tensorflow::TensorShape ToTensorShape(
    llvm::iterator_range<DenseElementsAttr::ElementIterator<T>> sizes) {
  return tensorflow::TensorShape(
      llvm::SmallVector<int64_t, num_dims>(sizes.begin(), sizes.end()));
}

	// it contains N frames.
	maxBytes := 1 + (2+4*len(frames))*traceBytesPerNumber

	// Estimate the size of this record. This
	// bound is pretty loose, but avoids counting
	// lots of varint sizes.
	//
	// Add 1 because we might also write traceEvStacks.
	var flushed bool
	w, flushed = w.ensure(1 + maxBytes)
	if flushed {
		w.byte(byte(traceEvStacks))
	}

	// Emit stack event.

	// for nonces of other lengths. For a 96-bit nonce, the nonce, along
	// with a four-byte big-endian counter starting at one, is used
	// directly as the starting counter. For other nonce sizes, the counter
	// is computed by passing it through the GHASH function.
	var counter gcmCount
	if len(nonce) == gcmStandardNonceSize {
		copy(counter[:], nonce)
		counter[gcmBlockSize-1] = 1
	} else {

    return errors::InvalidArgument("result index: ", result_index,
                                   " is outside the range of temp sizes: [0,",
                                   buffer_infos.size(), ")");
  }

  // Compute sizes and generate methods.
  std::vector<BufferInfo> buffer_infos_for_args =
      ExtractEntryParamBufferInfos(buffer_infos);
  std::vector<BufferInfo> buffer_infos_for_temps =

			ch <- prometheus.MustNewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(bucketNamespace, "objects", "histogram"),
					"Total number of objects of different sizes in a bucket",
					[]string{"bucket", "object_size"}, nil),
				prometheus.GaugeValue,
				float64(v),
				bucket,
				k,
			)
		}
		for k, v := range usageInfo.ObjectVersionsHistogram {

// Memory allocator.
//
// This was originally based on tcmalloc, but has diverged quite a bit.
// http://goog-perftools.sourceforge.net/doc/tcmalloc.html

// The main allocator works in runs of pages.
// Small allocation sizes (up to and including 32 kB) are
// rounded to one of about 70 size classes, each of which
// has its own free set of objects of exactly that size.
// Any free page of memory can be split into a set of objects

    replicated TPU computation. The number of times a TPU computation is
    replicated is defined in the `tf.TPUReplicateMetadata` op (`num_replicas`
    attribute) and operand and result sizes of `tf.TPUReplicatedInput` and
    `tf.TPUReplicatedOutput` respectively must match, excluding packed tensors.
    It is also assumed ops of the same TPU computation do not have ops outside

// See go.dev/issue/67401.
//
//go:linkname typehash
func typehash(t *_type, p unsafe.Pointer, h uintptr) uintptr {
	if t.TFlag&abi.TFlagRegularMemory != 0 {
		// Handle ptr sizes specially, see issue 37086.
		switch t.Size_ {
		case 4:
			return memhash32(p, h)
		case 8:
			return memhash64(p, h)
		default:
			return memhash(p, h, t.Size_)
		}
	}

			}
		}

		// Since we are comparing pools that may have a different number of sets
		// we multiply by the number of sets in the pool.
		// This will compensate for differences in set sizes
		// when choosing destination pool.
		// Different set sizes are already compensated by less disks.
		available *= uint64(nSets[i])

		serverPools[i] = poolAvailableSpace{
			Index:      i,
			Available:  available,

	case nil, io.EOF, io.ErrUnexpectedEOF:
		// io.ReadFull returns io.EOF (for an empty file) or io.ErrUnexpectedEOF
		// (for a non-empty file) if the file was changed unexpectedly. Continue
		// with comparing file sizes in those cases.
	default:
		return nil, err
	}
	if n < size {
		return nil, fmt.Errorf("error: size of %s changed during reading (from %d to %d bytes)", filename, size, n)
	} else if n > size {