Output & Results#

heliaPROFILER produces a structured set of output files organized for progressive disclosure — high-level summaries by default, detailed breakdowns on request.

Output directory structure#

Default output#

results/
├── result_manifest.json    # Versioned bundle envelope + artifact digests
├── summary.json            # Machine-readable high-level summary
├── profile_results.{csv|json} # Selected primary per-layer result
├── run_metadata.json       # Config, toolchain, platform, model info
├── nsx.lock                # Exact dependency lock used for this profile
├── aot_operator_manifest.json # AOT only: compiled operators + tensor placement
├── aot_memory_layers.csv   # AOT only: spreadsheet-friendly per-layer buffers
└── model_explorer/         # Overlay JSONs unless explicitly disabled
    ├── me_overlay_ARM_PMU_CPU_CYCLES.json
    ├── me_overlay_ARM_PMU_INST_RETIRED.json
    └── ...

The primary profile artifact is CSV or JSON, not both. AOT artifacts appear only for heliaAOT runs, and Model Explorer overlays are omitted when --no-model-explorer is set.

Detailed output (with --detailed)#

results/
├── summary.json
├── profile_results.csv
├── run_metadata.json
├── model_explorer/
│   └── ...
└── detailed/
    ├── memory.json                # Memory breakdown (binary, arena, per-layer cache)
    ├── profile_cpu.csv            # Merged CPU group results
    ├── profile_memory.csv         # Merged memory group results
    ├── profile_mve.csv            # Merged MVE group results
    ├── profile_cpu_0.csv          # Per-pass CPU breakdowns
    ├── profile_cpu_1.csv
    ├── profile_memory_0.csv
    ├── profile_mve_0.csv
    └── ...

File reference#

result_manifest.json#

The publication marker for a completed result bundle. HPX writes this file after every other report artifact. It records the run identity, validity, structured issues, open provenance and comparability fields, plus each artifact's relative path, media type, size, and SHA-256 digest.

The v1 schema intentionally fixes only the envelope. provenance, comparability, extensions, issue context, artifact metadata, and unknown root fields remain open for additive evolution. Consumers must ignore fields they do not use. Use load_result_manifest(path, verify=True) to reject missing, modified, or path-escaping artifacts.

Each declared artifact may include additive semantic metadata:

Complete profile bundles require named core artifacts for summary.json, run_metadata.json, nsx.lock, and the selected primary profile result. The dependency provenance records the typed registry hash, baseline identity and fingerprint, workspace fingerprint, lock mode/update state, requested refs and tags, peeled commits, content hashes, and explicit overrides. Detailed CSV/JSON files are projections or diagnostics. heliaAOT files are engine extensions. Model Explorer overlays are optional exports governed by the Model Explorer format rather than the HPX core schema. Semantic names do not claim a published content schema. schema and schema_version remain absent until HPX or an external owner publishes one. Optional means the product need not be generated; once an artifact is declared in a manifest, verification still requires its file and digest.

The permissive JSON Schema is shipped as helia_profiler/data/result_manifest.schema.v1.json.

HPX-owned JSON artifacts carry independent schema identities and versions so consumers can evolve parsers without coupling every file to the bundle schema:

These schemas require the stable interpretation fields and remain open to additive measurements and extensions. CSV output retains its semantic artifact name but does not claim a formal content schema yet.

summary.json#

The top-level summary — start here for a quick overview.

{
  "schema": "hpx.run-summary",
  "schema_version": 3,
  "engine": "helia-rt",
  "layers": 13,
  "total_cycles": 2016376,
  "overflow_detected": false,
  "top_layers": [
    {"op": "CONV_2D", "cycles": 338176, "pct": 16.8},
    {"op": "CONV_2D", "cycles": 207749, "pct": 10.3}
  ],
  "memory": {
    "arena_size": 131072,
    "allocated_arena": 29780,
    "model_size": 53936,
    "num_tensors": 35,
    "input_size": 490,
    "output_size": 12
  },
  "binary": {
    "text": 573968,
    "data": 14952,
    "bss": 163516,
    "total": 752436
  },
  "cache": {
    "ARM_PMU_L1D_CACHE": 230224,
    "ARM_PMU_L1D_CACHE_RD": 230203,
    "ARM_PMU_L1D_CACHE_REFILL": 0,
    "ARM_PMU_L1D_CACHE_MISS_RD": 0,
    "ARM_PMU_DTCM_ACCESS": 1338037,
    "ARM_PMU_MEM_ACCESS": 1568463,
    "l1d_hit_rate_pct": 100.0
  }
}

Every summary also includes top-level validity and issues fields. Validity is valid, degraded, or invalid; issues carry stable codes, severity, human guidance, and open context. Consumers should inspect these fields before using headline metrics.

profile_results.csv#

The primary data file — one row per layer with all measured PMU counters.

id,op,ARM_PMU_CPU_CYCLES,ARM_PMU_INST_RETIRED,...,cycles,overflow
0,CONV_2D,338176,270137,...,338176,False
1,DEPTHWISE_CONV_2D,206245,152970,...,206245,False

• id — sequential layer index (TFLM) or original TFLite op index (AOT)
• op — operator type (e.g. CONV_2D, DEPTHWISE_CONV_2D:1 for AOT)
• Counter columns — averaged across iterations
• cycles — dedicated cycle counter value
• overflow — True if any counter overflowed (2³² saturation)

run_metadata.json#

Full provenance for the run:

{
  "hpx_version": "0.1.1",
  "run_id": "a1b2c3d4",
  "timestamp": "2025-04-21T10:30:00",
  "config": { ... },
  "platform": {
    "board": "apollo510_evb",
    "soc": "apollo510",
    "core": "cortex-m55"
  },
  "model": {
    "name": "kws_ref_model.tflite",
    "size": 53936,
    "sha256": "abc123..."
  },
  "toolchain": {
    "compiler": "arm-none-eabi-gcc",
    "compiler_version": "arm-none-eabi-gcc (Arm GNU Toolchain 14.3.Rel1) 14.3.1",
    "cmake_version": "cmake version 3.31.6"
  },
  "firmware": {
    "arena_size": 131072,
    "allocated_arena": 29780,
    "model_size": 53936
  }
}

aot_operator_manifest.json#

For helia-aot runs, this captures the operators emitted by the AOT compiler after graph transforms. Each operator includes inputs, outputs, and local tensors such as weights, weight sums, and per-op scratch buffers.

When the installed helia-aot package exposes placement data, tensor entries also include:

aot_memory_layers.csv#

For helia-aot runs, this is a flat CSV view of the same placement data. It is intended for customers who want to sort or filter buffers in a spreadsheet while experimenting with AOT memory placement.

Example columns:

layer_idx,layer_id,op_type,op_name,tensor_role,tensor_id,tensor_name,tensor_kind,memory,source_memory,staged,arena_role,arena_region_id,offset,size,shape
0,0,CONV_2D,conv_2d_0,local,17,tensor_17,constant,dtcm,dtcm,False,constant,1,0,2560,"[64, 1, 5, 1]"

detailed/memory.json#

Deep memory breakdown (only with --detailed):

{
  "binary_sections": {
    "text": 573968,
    "data": 14952,
    "bss": 163516,
    "total": 752436
  },
  "arena": {
    "arena_size": 131072,
    "allocated_arena": 29780,
    "num_tensors": 35,
    "num_inputs": 1,
    "num_outputs": 1,
    "model_size": 53936
  },
  "per_layer_memory": [
    {
      "op": "CONV_2D",
      "counters": {
        "ARM_PMU_L1D_CACHE": 28728,
        "ARM_PMU_L1D_CACHE_RD": 28727,
        "ARM_PMU_DTCM_ACCESS": 178393,
        "ARM_PMU_MEM_ACCESS": 207151
      }
    }
  ],
  "cache_totals": {
    "ARM_PMU_L1D_CACHE": 230224,
    "ARM_PMU_L1D_CACHE_MISS_RD": 0,
    "ARM_PMU_DTCM_ACCESS": 1338037,
    "l1d_hit_rate_pct": 100.0
  }
}

Reserved vs bss#

bss counts zero-initialized state the program actually uses. reserved is separate: linker-reserved NOBITS regions that are never written at runtime.

This matters most on Apollo5 boards, where the NSX linker script deliberately fills all remaining DTCM as a .heap region so _sbrk has a bounded area to allocate from. arm-none-eabi-size's default output has no per-section detail, so before HPX 0.1.6 that reservation was reported as bss — on a measured build, 392 KB of "bss" for 248 bytes of real state.

HPX now reads the ELF section headers and reports the two separately:

"binary": {
  "text": 45000,
  "data": 1200,
  "bss": 248,
  "reserved": 392960,
  "total": 393264
}

reserved is omitted entirely when a board's linker script does not reserve anything, and total is unchanged — it remains the size tool's own inclusive sum, so text + data + bss + reserved reconciles against it.

Planned vs measured memory#

Two blocks describe memory, on purpose, because they answer different questions:

• memory_plan is the decision record — what hpx intended, computed before any compiler ran: per-region capacity (datasheet-flavored), used (the sum of what hpx itself placed), and the named consumers (weights, arena, scratch). It deliberately carries no free or overflow: the plan only counts what hpx placed, so a plan-side "free" was overstated and a plan-side "overflow" could not fire on real exhaustion (issue #133).
• memory_regions is the measured truth — the linked ELF's section inventory classified into per-SoC memory windows characterized from the NSX linker scripts and SDK hardware apertures. Per region:

"memory_regions": {
  "link_family": "gnu",
  "linker_profile": "default",
  "regions": [
    {
      "region": "DTCM",
      "window": {"start": 536870912, "length": 524288},
      "app_window": {"start": 536870912, "length": 507904},
      "used": 16664,
      "reserved": 491240,
      "free": 491240,
      "load_image": 0,
      "window_provenance": "hardware-aperture",
      "app_provenance": "linker-script"
    }
  ],
  "unattributed": []
}

window is the hardware classification aperture; app_window is the extent the link family's script gives the app image, and free is app_window.length − used. used includes the live stack (gcc links); reserved is the linker's own reservations — the fill-to-end heap plus armlink's fixed heap/stack regions. Note the two reservation kinds read differently: gcc's fill-to-end heap sits inside the app window, so its bytes appear in both reserved and free (the heap is sized to whatever was left — the example above shows both at 491240 for exactly that reason); armlink's fixed heap/stack sit outside the app window and are excluded from both. load_image is the flash bytes that initialize this region's data (summed from program headers by physical address, which is correct on both gcc and armlink). unattributed lists any allocated section that falls outside every verified window — either the binary put bytes somewhere uncharacterized, or the window table is wrong for that part; both deserve eyes (unattributed_load_bytes is the same flag for program-header flash bytes). The block describes the profile binary — power-only firmware is not measured, matching binary. The whole block is absent whenever it cannot be true: a custom SoC, a non-default linker_profile, a failed tool probe, or a partial section inventory — never guessed.

Plan vs measured reconciliation#

When the symbol table is readable, summary.json also carries memory_reconciliation — the two views above held against each other:

• consumers[] — one row per plan consumer: planned_size, status (matched with measured_size/delta = measured − planned; missing when the planned symbol is absent from the binary; unmatchable when no sized symbol can exist — PSRAM-placed weights bind to a runtime pointer, armlink's stack is a scatter region), and the matched_symbols it summed.
• regions[] — plan used vs measured used per region. The hpx-owned consumers (records, RTT, USB, stack) exist to drive these deltas toward zero.

detailed/memory.json additionally carries memory_symbols: the top 32 sized symbols per region (by size, deduped across aliases, classified by virtual address — per-symbol load-image attribution is not recoverable on armlink). Both blocks are additive to schema v3 and absent whenever their inputs are (no symbol table, partial listing, no measured view).

Terminal summary#

Every run prints a summary to the terminal:

============================================================
heliaPROFILER Results
============================================================
  arena_size: 131072
  allocated_arena: 29780
  model_size: 53936
  layers: 13
  total_cycles: 2,016,376

  Top layers by cycles:
    CONV_2D                           338,176 ( 16.8%)
    CONV_2D                           207,749 ( 10.3%)
    CONV_2D                           207,749 ( 10.3%)

  Memory: 29,780 / 131,072 bytes arena (22.7%)
  Model:  53,936 bytes
  Binary: text=573,968 data=14,952 bss=163,516 total=752,436

  Cache/Memory:
    L1D_CACHE                          230,224
    L1D_CACHE_RD                       230,203
    DTCM_ACCESS                      1,338,037
    MEM_ACCESS                       1,568,463
============================================================

Controlling output#