// done().
    // The latter may be too conservative, but given the host is involved in
    // waiting for the transfer to complete anyway there is probably little
    // downside. If we were to add the ability for computations to wait directly
    // on transfers, then we might want to rethink this property.
    // Also ideally this host callback should be on source stream rather than

        //   ApplyWeightUpdates_2 -> "iteration++"
        //   ApplyWeightUpdates_0 -> Computation_A
        //   ApplyWeightUpdates_1 -> Computation_B
        //   ApplyWeightUpdates_2 -> Computation_C
        //   Computation_A -> NoOp
        //   Computation_B -> NoOp
        //   Computation_C -> NoOp
        //   "iteration++" -> NoOp
        // }
        //

	fieldCache.RLock()
	f := fieldCache.m[t]
	fieldCache.RUnlock()
	if f != nil {
		return f
	}

	// Compute fields without lock.
	// Might duplicate effort but won't hold other computations back.
	f = typeFields(t)
	if f == nil {
		f = []field{}
	}

	fieldCache.Lock()
	if fieldCache.m == nil {
		fieldCache.m = map[reflect.Type][]field{}
	}
	fieldCache.m[t] = f

			ok = true
		}
	}
	if !ok {
		return bigFtoa(dst, prec, fmt, neg, mant, exp, flt)
	}
	return formatDigits(dst, shortest, neg, digs, prec, fmt)
}

// bigFtoa uses multiprecision computations to format a float.
func bigFtoa(dst []byte, prec int, fmt byte, neg bool, mant uint64, exp int, flt *floatInfo) []byte {
	d := new(decimal)
	d.Assign(mant)
	d.Shift(exp - int(flt.mantbits))
	var digs decimalSlice

// between theoretical and numerical jacobians:
//   fabs(jac_t - jac_n) / max(fabs(jac_t), fabs(jac_n))

// TODO(andydavis) Vectorize and/or multi-thread Jacobian computations if
// performance becomes an issue.

// BaseUnitsForType provides a list of typed unit values for each basis in the
// requested type.
// When T is real,

  // `forward_function` is null, a GradientTape is used on the backward function
  // to compute the jvp, which will waste computation when executing eagerly.
  //
  // Unlike GradientTape::RecordOperation, Accumulate runs gradient computation
  // immediately. It stores the results, which feed into Accumulate for future
  // operations and may be fetched by calling FetchJVP. ForwardAccumulator

output.
### `-tf-tpu-host-computation-expansion`

_Expands host computation before and after TPU computation._

This pass expands outside compilation attributes to Identity/Cast ops
at the head of TPU computation if it's only used by outside compiled ops.
### `-tf-tpu-identity-pruning`

_Removes Identity/IdentityN ops from the TPU computation_

### `-tf-tpu-merge-variables-with-execute`

	// If a pod doesn't have any volume attached to it, the predicate will always be true.
	// Thus we make a fast path for it, to avoid unnecessary computations in this case.
	if len(pod.Spec.Volumes) == 0 {
		return nil
	}

	logger := klog.FromContext(ctx)
	newVolumes := sets.New[string]()

	GOROOTpkg string
	GOROOTsrc string

	GOBIN                         = Getenv("GOBIN")
	GOMODCACHE, GOMODCACHEChanged = EnvOrAndChanged("GOMODCACHE", gopathDir("pkg/mod"))

	// Used in envcmd.MkEnv and build ID computations.
	GOARM64, goARM64Changed     = EnvOrAndChanged("GOARM64", fmt.Sprint(buildcfg.GOARM64))
	GOARM, goARMChanged         = EnvOrAndChanged("GOARM", fmt.Sprint(buildcfg.GOARM))

	atomic.StoreInt64(&connectionNumber, 0)
}

// initProxyMetadata initializes just the basic metadata of a proxy. This is decoupled from
// initProxyState such that we can perform authorization before attempting expensive computations to
// fully initialize the proxy.
func (s *DiscoveryServer) initProxyMetadata(node *core.Node) (*model.Proxy, error) {
	meta, err := model.ParseMetadata(node.Metadata)
	if err != nil {