fds := opts.fallbackDisks
	fallback := func(err error) StorageAPI {
		if _, ok := err.(StorageErr); ok {
			// Attempt to grab a fallback disk
			fdMu.Lock()
			defer fdMu.Unlock()
			if len(fds) == 0 {
				return nil
			}
			fdsCopy := fds
			for _, fd := range fdsCopy {
				// Grab a fallback disk
				fds = fds[1:]
				if fd != nil && fd.IsOnline() {
					return fd
				}
			}
		}

			a.Total = atomic.LoadInt64(&old.Total)
			a.N = atomic.LoadInt64(&old.N)
			e.mu.Lock()
			e.lastMinuteLatency.addAll(t-1, a)
			e.mu.Unlock()
			acc = newAcc
		} else {
			// We may be able to grab the new accumulator by yielding.
			runtime.Gosched()
			acc = e.cached.Load()
		}
	}
	atomic.AddInt64(&acc.N, 1)
	atomic.AddInt64(&acc.Total, int64(value))
	atomic.AddInt64(&acc.Size, sz)
}

            instead.
        *   `tf.batch_mat_mul_v3` (accidentally introduced in TensorFlow 2.6):
            Use `tf.linalg.matmul` instead.
        *   `tf.sparse_segment_sum_grad` (accidentally introduced in TensorFlow
            2.6): Use `tf.raw_ops.SparseSegmentSumGrad` instead. Directly
            calling this op is typically not necessary, as it is automatically