// A StackRecord describes a single execution stack.
type StackRecord struct {
	Stack0 [32]uintptr // stack trace for this record; ends at first 0 entry
}

// Stack returns the stack trace associated with the record,
// a prefix of r.Stack0.
func (r *StackRecord) Stack() []uintptr {
	for i, v := range r.Stack0 {
		if v == 0 {
			return r.Stack0[0:i]
		}
	}
	return r.Stack0[0:]
}

// Tests loop with resource that is unique per iteration.
//
// In cases where a resource-allocating op creates a new unique resource per
// loop iteration (ops with `TF_UniqueResourceAllocation` trait, in this case:
// `tf.StackV2`), make sure that we don't create data dependencies between
// different iterations for such resources. This is in line with the behavior
// for the same loop unrolled. In this particular case, no data chain and token

	_FixAllocChunk = 16 << 10 // Chunk size for FixAlloc

	// Per-P, per order stack segment cache size.
	_StackCacheSize = 32 * 1024

	// Number of orders that get caching. Order 0 is FixedStack
	// and each successive order is twice as large.
	// We want to cache 2KB, 4KB, 8KB, and 16KB stacks. Larger stacks
	// will be allocated directly.
	// Since FixedStack is different on different systems, we

        // types that can't be live-in or live-out of a cluster.  These ops are:
        //
        //  - TensorArray ops operating on the same TensorArray instance.
        //  - Stack ops operating on the same Stack instance.
        //
        // To work around this we avoid isolating these specific ops.  Because
        // of this concession it is unsound to auto-cluster them because then

	// lastStackScan is the number of bytes of stack that were scanned
	// last GC cycle.
	lastStackScan atomic.Uint64

	// maxStackScan is the amount of allocated goroutine stack space in
	// use by goroutines.
	//
	// This number tracks allocated goroutine stack space rather than used
	// goroutine stack space (i.e. what is actually scanned) because used
	// goroutine stack space is much harder to measure cheaply. By using

-default-device : The default device to assign.
```
### `-tf-stack-ops-decomposition`

_Decompose stack operations into local variable operations. Needs static shapes._

A pass that converts stack operations to tensor operations and read/assign
ops on local variables. A later resource lifting pass can further remove the
local variables.

This pass requires that the full shape of the stack can be inferred: 1) the