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README.md

@@ -5,19 +5,6 @@ tags:
 - tt-dit-server
 - tt-model-cache
 - tt-model-container
-- tenstorrent
-- ttnn
-- tt-metal
-- tt-nn
-- keypoint-detection
-- superpoint
-- tt-model-catalog
-license_name: magic-leap-superpoint
-license_link: https://huggingface.co/magic-leap-community/superpoint
-base_model:
-- magic-leap-community/superpoint
-license: other
-pipeline_tag: keypoint-detection
 ---
 
 # superpoint-p150
@@ -36,8 +23,7 @@ tt-model pull  changh95/superpoint-p150 --with-weights
 tt-model serve changh95/superpoint-p150
 ```
 
-- Weights [`magic-leap-community/superpoint`](https://huggingface.co/magic-leap-community/superpoint) at `734450e9ffe2` go to your HF cache; the image does not contain them.
-- Serves on port 20000 (or the next free port); ready when the log says `Application startup complete`.
+`pull --with-weights` downloads the Docker image and the [`magic-leap-community/superpoint`](https://huggingface.co/magic-leap-community/superpoint) weights at `734450e9ffe229074f5998494ddc615475cdb20a` (into your HF cache; they are not in the image). `serve` starts the model's own HTTP server on port 20000 (or the next free port, if that one is busy); the first start compiles kernels for your device, which takes several minutes, and the server is ready when it logs `Application startup complete`.
 
 ### Run with tt-cli
 
@@ -59,7 +45,8 @@ tt model stop changh95/superpoint-p150
  "scores": [0.609375, 0.589844, 0.582031],
  "original_size": {"height": 900, "width": 1600}, "image_size": {"height": 480, "width": 640}, "scale": {"x": 2.5, "y": 1.875},
  "descriptors": {"format": "npz", "key": "descriptors", "dtype": "float16", "shape": [539, 256], "data": "..."},
- "timing_ms": {"preprocess": 19.4, "device_forward": 12.5, "postprocess": 32.5, "total": 64.4}}
+ "serving_path": {"traced": true, "device_nms": true},
+ "timing_ms": {"preprocess": 17.7, "device_forward": 5.3, "postprocess": 1.3, "total": 24.3}}
 ```
 
 - `keypoints` are `[x, y]` in original image pixels, sorted by descending `scores`; the network frame is 480×640 and `scale` = original / network.
@@ -76,16 +63,18 @@ tt model stop changh95/superpoint-p150
 | Metric | Value |
 |---|---:|
 | Pre-NMS score map · descriptor map PCC vs fp32 torch reference | 0.9971 · 0.9991 |
-| Keypoint set vs reference (natural image, top-500, 2 px) | recall 98.80% · precision 98.80% · F1 98.80% |
-| Inference, served over HTTP (warm, batch 1, 480×640, 1600×900 JPEG in) | ~12–20 ms device · ~65 ms end-to-end (~15 FPS) |
+| Keypoint set vs reference (natural image, top-500, 2 px) | recall 98.20% · precision 99.40% · F1 98.80% |
+| Inference, served over HTTP (warm, batch 1, 480×640, 1600×900 JPEG in; median of 50 requests) | 5.3 ms device (trace + device NMS) · 1.3 ms host post-processing · 18 ms JPEG decode/resize · 24.7 ms end-to-end (~40 FPS) |
+| Same, legacy path (`TT_FUSED=0`: untraced, host NMS) | 12.4 ms device · 26.5 ms host NMS · 56.8 ms end-to-end (~18 FPS) |
 
 ### Caveats
 
 - Every image is resized to 480×640 (bilinear, /255, channel 0); one image per request, batch 1, requests serialised on the chip.
-- This server runs the untraced pure-ttnn path with host single-pass NMS (bf16 + HiFi2 + fp32 accumulate; bfloat8/LoFi drop score PCC to ~0.91). The port README's 40.7 fps needs `ttnn.trace` plus the fused `sp_eq_mul_mask` C++ kernel in `code/kernels/`, which is not built into this image.
+- This server runs the whole device graph as one metal trace per request with a standard-op device NMS (radius 4; bit-identical to the host single-pass NMS) and an `rms_norm` descriptor L2-norm (bf16-rounding-level vs the legacy chain; PCC 0.9991 either way). bf16 + HiFi2 + fp32 accumulate throughout (bfloat8/LoFi drop score PCC to ~0.91). No custom kernel: the port README's `sp_eq_mul_mask` path is not built into this image.
+- `nms_radius` other than 4 falls back to the host NMS on the traced scores (same keypoints, ~25 ms slower); `TT_FUSED=0` in the environment restores the untraced legacy path (validated 2026-09-12).
 - Weights are research-only: the Magic Leap SuperPoint licence allows academic or non-profit organisation NONCOMMERCIAL research use.
 - Not an OpenAI-compatible API; `GET /v1/models` is a stub so the tt-model ready card does not 404.
-- Validated on tt-metal `v0.78.0-dev20260820` (main `8b98410e730`), single p150a only.
+- Validated on tt-metal `v0.78.0-dev20260820` (main `8b98410e730`), single p150a only; numbers above measured 2026-09-13 through this container image (`DEVICE_VALIDATION.md`).
 
 ### Licensing
 
@@ -99,6 +88,6 @@ The exact sources the image was built from — `code/` in this repo is byte-iden
 | component | built from |
 | --- | --- |
 | tt-metal | [`8b98410e730bb504fea43a88609756e34821d91d`](https://github.com/tenstorrent/tt-metal/commit/8b98410e730bb504fea43a88609756e34821d91d) |
-| `code/` digest | `006ddc1eb4e69a41` (sha256, first 16 hex digits) |
-| built | 2026-09-12T13:22:54+00:00 by tt-model 0.1.0 |
+| `code/` digest | `ae768681d4aa677d` (sha256, first 16 hex digits) |
+| built | 2026-09-13T15:21:44+00:00 by tt-model 0.1.0 |
 

code/results.tsv

@@ -27,3 +27,9 @@ e5e5b7147b	73.65	99.72	keep	final stable benchmark (SP_N_ITER=100) — 12.6x spe
 8c8b473	—	100.00	keep	fused C++ Tensix kernel ttnn.experimental.sp_eq_mul_mask — 1.50x vs ttnn.eq+mul composed (0.184ms vs 0.276ms/iter on 1x1x307200x32 bf16); byte-identical to torch ref across match rates 0..100%
 da62f38	355.39	99.71	keep	re-measured on fresh tt-metal build (w/ sp_eq_mul_mask kernel registered): fps_compute_only=355.39, fps_traced=73.63, fps_match_paper=41.62, fps_e2e=17.00 (natural); sample.png regenerated
 nms_close	85.59	99.71	keep	(natural, 100-iter, SP_TRACE_NMS=1) sp_eq_mul_mask integrated into _device_fold_and_nms; closes compare+mask on device + on-device ch0 slice shrinks D2H 32x. fps_compute_only=85.59, fps_traced=44.53, fps_match_paper=30.01, fps_e2e=24.11; F1 unchanged 98.80%. e2e 17.00->24.11 (+41%); trace now does fold+max_pool+fused mask (~7ms extra) which absorbs the 36ms host simple_nms.
+b989a23	355.38	99.71	keep	(legacy regression, p150a 2026-09-13, SP_N_ITER=100, TT_FUSED unset/0, run_benchmark.sh on the v0.78 tree) fps_compute_only=355.38, fps_traced=97.24 (dual-CQ H2D), fps_e2e=26.42; score PCC 0.997109, desc PCC 0.999083, recall/precision/F1 0.9820/0.9940/0.98796 -- unchanged vs da62f38
+fused_trace	—	99.71	keep	(TT_FUSED=1 TT_FUSED_STAGES="", trace-only, natural) fused_h2d_plus_trace_ms=10.27, fused_forward_ms=12.14, fused_postprocess_ms=28.3 (host NMS); PCC/F1 = legacy; eager==traced
+fused_wide	—	99.71	keep	(+wide: 64-byte-page upload + in-trace reshape) fused_h2d_plus_trace_ms=3.47 (-6.8 ms: 2-byte-page H2D hypothesis confirmed), fused_forward_ms=5.02; exact
+fused_nms	—	99.71	keep	(+nms: NMS-T standard-op chain) fused_nms_map_mismatches=0, fused_h2d_plus_trace_ms=3.97 (+0.50 ms device), fused_forward_ms=5.37, fused_postprocess_ms=1.37 (was 28.3); F1 unchanged
+fused_rms	—	99.71	keep	(+rms: rms_norm L2, HiFi4/no-approx/fp32-acc, gamma 1/16) desc PCC 0.999083->0.999085, descriptor_norm_max_dev 0.00488->0.00259, +0.01 ms
+fused_all	—	99.71	keep	(+rm = all stages wide,nms,rms,rm; natural, 50-iter) fused_h2d_plus_trace_ms=3.99, fused_forward_ms=4.89, fused_postprocess_ms=1.74; score PCC 0.997109, desc PCC 0.999085, F1 0.98796; served in the shipped image (50 warm requests, medians): device_forward 5.28 ms, postprocess 1.29, total 24.71 (legacy 12.37 / 26.49 / 56.80); keypoints+scores identical to legacy server -> TT_FUSED default ON

code/run_benchmark.sh

@@ -1,31 +1,44 @@
 #!/bin/bash
-# SuperPoint TT-NN benchmark driver.
+# SuperPoint TT-NN benchmark driver -- the LEGACY (knob-off) path.
 #
 # Usage:
-#   TT_METAL_DIR=/path/to/tt-metal DEVICE_ID=3 bash run_benchmark.sh
+#   TT_METAL_DIR=/path/to/tt-metal DEVICE_ID=0 bash run_benchmark.sh
 #
 # Prints metrics; extract with:
 #   grep -E "inference_speed|accuracy|keypoint_f1" run.log
+#
+# Interpreter: the tt-metal checkout's own python_env (ttnn, torch, transformers, loguru and
+# pytest all live there); override with PYTHON=/path/to/python. The `device` fixture and the
+# `--device-id` option come from ./conftest.py, so no tt-metal pytest rootdir is needed.
+# TT_FUSED=0 on purpose (and the test pins fused=False itself): this script is the knob-off
+# regression gate (DEVICE_VALIDATION.md §2(c)); TT_FUSED defaults to the fused path since
+# 2026-09-13, which test_superpoint_fused measures.
 set -u
 
 DEVICE_ID="${DEVICE_ID:-0}"
 TT_METAL_DIR="${TT_METAL_DIR:?TT_METAL_DIR must point at a built tt-metal checkout}"
 REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 LOG="$REPO_ROOT/run.log"
+PYTHON="${PYTHON:-$TT_METAL_DIR/python_env/bin/python}"
 
-source "$HOME/.tenstorrent-venv/bin/activate"
+if [ ! -x "$PYTHON" ]; then
+    echo "run_benchmark.sh: python interpreter not found: $PYTHON (build tt-metal's python_env or set PYTHON=)" >&2
+    exit 2
+fi
 
-# PYTHONPATH: this repo (for models.tt / models.reference imports) + tt-metal
-# (for ttnn runtime).
+# PYTHONPATH: this repo FIRST (its regular `models` package must win over tt-metal's namespace
+# `models`) + tt-metal (for ttnn runtime helpers; ttnn itself is installed in python_env).
 export PYTHONPATH="$REPO_ROOT:$TT_METAL_DIR:$TT_METAL_DIR/ttnn"
 export TT_METAL_HOME="$TT_METAL_DIR"
 export ARCH_NAME="blackhole"
 export SP_N_ITER="${SP_N_ITER:-10}"
+export TT_FUSED=0
+unset TT_FUSED_STAGES
 
 cd "$REPO_ROOT" || exit 2
 rm -f "$LOG"
 
-pytest -s -q \
+"$PYTHON" -m pytest -s -q \
     --device-id="$DEVICE_ID" \
     models/tests/test_superpoint.py::test_superpoint_benchmark \
     2>&1 | tee "$LOG"

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image/blobs/sha256/adcd640a3e2bc8cdc1547d4e9c2fe539beffe451f0b662ddc566f58a2f79f916

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+{"architecture":"amd64","config":{"User":"tt","Env":["PATH=/opt/tt-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin","VENV=/opt/tt-venv","VIRTUAL_ENV=/opt/tt-venv","TT_METAL_RUNTIME_ROOT=/opt/tt-metal","TT_METAL_HOME=/opt/tt-metal","PYTHONPATH=/opt/tt-metal","LD_LIBRARY_PATH=/opt/tt-metal/build/lib:/opt/openmpi-v5.0.7-ulfm/lib","EXTRA_MODELS_DIR=","TT_VLLM_BUILTIN_MODELS=","TT_MODEL_KIND=tt-dit-server","HF_HOME=/hf","TT_METAL_CACHE=/cache","HOME=/home/tt","USER=tt","LOGNAME=tt"],"Entrypoint":["/usr/local/bin/entrypoint.sh"],"Cmd":["/usr/local/bin/serve-default.sh"],"WorkingDir":"/home/tt/work","Labels":{"org.opencontainers.image.revision":"8b98410e730bb504fea43a88609756e34821d91d","org.opencontainers.image.version":"22.04","org.tenstorrent.tt-model":"superpoint-p150","org.tenstorrent.tt-model.arch":"blackhole","org.tenstorrent.tt-model.kind":"tt-dit-server","org.tenstorrent.tt-model.plugin":"","org.tenstorrent.tt-model.profiles":"default","org.tenstorrent.tt-model.repo":"changh95/superpoint-p150","org.tenstorrent.tt-model.tt-metal":"v0.78.0-dev20260820-25-g8b98410e73","org.tenstorrent.tt-model.weights":"magic-leap-community/superpoint"},"ArgsEscaped":true},"created":"2026-09-14T00:24:14.30003814+09:00","history":[{"created":"2026-09-03T12:14:51.139348462Z","created_by":"/bin/sh -c #(nop)  ARG RELEASE","empty_layer":true},{"created":"2026-09-03T12:14:51.170427469Z","created_by":"/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH","empty_layer":true},{"created":"2026-09-03T12:14:51.200307479Z","created_by":"/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04","empty_layer":true},{"created":"2026-09-03T12:14:53.528689977Z","created_by":"/bin/sh -c #(nop) ADD file:81c01921c5f642ac2fcbfae682e489e8e64b347467d9fa1587707e310e64d790 in / "},{"created":"2026-09-03T12:14:54.045714841Z","created_by":"/bin/sh -c #(nop)  CMD [\"/bin/bash\"]","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG OMPI_DIR=/opt/openmpi-v5.0.7-ulfm","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG EXTRA_MODELS_DIR=","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG TT_MODEL_KIND","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_NAME","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_REPO","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_WEIGHTS","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_ARCH","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_PROFILES","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_TT_METAL_SHA","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_TT_METAL_DESCRIBE","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"ARG MODEL_PLUGIN_SHA","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-12T19:56:47.228965907+09:00","created_by":"RUN |11 OMPI_DIR=/opt/openmpi-v5.0.7-ulfm EXTRA_MODELS_DIR= TT_MODEL_KIND=tt-dit-server MODEL_NAME=superpoint-p150 MODEL_REPO=changh95/superpoint-p150 MODEL_WEIGHTS=magic-leap-community/superpoint MODEL_ARCH=blackhole MODEL_PROFILES=default MODEL_TT_METAL_SHA=8b98410e730bb504fea43a88609756e34821d91d MODEL_TT_METAL_DESCRIBE=v0.78.0-dev20260820-25-g8b98410e73 MODEL_PLUGIN_SHA= /bin/sh -c apt-get update \u0026\u0026 apt-get install -y --no-install-recommends     libhwloc15 libnuma1 libatomic1 libudev1 libcap2 zlib1g     libmpc3 libmpfr6 libgmp10 libzstd1     libevent-core-2.1-7 libevent-pthreads-2.1-7     libgl1 libsndfile1 ca-certificates     \u0026\u0026 apt-get clean \u0026\u0026 rm -rf /var/lib/apt/lists/* # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-12T19:56:47.525880091+09:00","created_by":"RUN |11 OMPI_DIR=/opt/openmpi-v5.0.7-ulfm EXTRA_MODELS_DIR= TT_MODEL_KIND=tt-dit-server MODEL_NAME=superpoint-p150 MODEL_REPO=changh95/superpoint-p150 MODEL_WEIGHTS=magic-leap-community/superpoint MODEL_ARCH=blackhole MODEL_PROFILES=default MODEL_TT_METAL_SHA=8b98410e730bb504fea43a88609756e34821d91d MODEL_TT_METAL_DESCRIBE=v0.78.0-dev20260820-25-g8b98410e73 MODEL_PLUGIN_SHA= /bin/sh -c existing=\"$(getent passwd 1000 | cut -d: -f1)\"     \u0026\u0026 if [ -n \"$existing\" ]; then          userdel -r \"$existing\" 2\u003e/dev/null || userdel \"$existing\";        fi     \u0026\u0026 useradd --uid 1000 --create-home --home-dir /home/tt --shell /bin/bash tt     \u0026\u0026 mkdir -p /home/tt/work/logs /cache /opt/tt-metal     \u0026\u0026 chown -R tt:tt /home/tt /cache /opt/tt-metal     \u0026\u0026 chmod 1777 /home/tt /home/tt/work /home/tt/work/logs /cache # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-12T19:58:26.191611097+09:00","created_by":"COPY /opt/openmpi-v5.0.7-ulfm /opt/openmpi-v5.0.7-ulfm # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-12T19:58:26.837206978+09:00","created_by":"COPY /opt/tenstorrent /opt/tenstorrent # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:52.93684474+09:00","created_by":"COPY /usr/local/share/uv /usr/local/share/uv # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:55.460809004+09:00","created_by":"COPY /opt/tt-venv /opt/tt-venv # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:55.550089696+09:00","created_by":"COPY /opt/vllm /opt/vllm # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:56.136809136+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/runtime /opt/tt-metal/runtime # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:56.361445216+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/build_Release /opt/tt-metal/build_Release # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:56.58239487+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/build /opt/tt-metal/build # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:57.203632931+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/tt_metal /opt/tt-metal/tt_metal # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:57.762148875+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/ttnn /opt/tt-metal/ttnn # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:57.886443359+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/tools /opt/tt-metal/tools # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:57.99423292+09:00","created_by":"COPY --chown=tt:tt /opt/tt-metal/setup.py /opt/tt-metal/pyproject.toml /opt/tt-metal/ # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:58.08873868+09:00","created_by":"COPY --chown=tt:tt code/ /opt/tt-metal/ # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:58.174245922+09:00","created_by":"COPY entrypoint.sh /usr/local/bin/entrypoint.sh # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"COPY --chmod=0755 serve-default.sh /usr/local/bin/serve-default.sh # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV VENV=/opt/tt-venv","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV VIRTUAL_ENV=/opt/tt-venv","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV PATH=/opt/tt-venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV TT_METAL_RUNTIME_ROOT=/opt/tt-metal","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV TT_METAL_HOME=/opt/tt-metal","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV PYTHONPATH=/opt/tt-metal","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV LD_LIBRARY_PATH=/opt/tt-metal/build/lib:/opt/openmpi-v5.0.7-ulfm/lib","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV EXTRA_MODELS_DIR=","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ARG TT_VLLM_BUILTIN_MODELS=","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV TT_VLLM_BUILTIN_MODELS=","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV TT_MODEL_KIND=tt-dit-server","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV HF_HOME=/hf","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV TT_METAL_CACHE=/cache","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV HOME=/home/tt","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV USER=tt","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"ENV LOGNAME=tt","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.259147635+09:00","created_by":"USER tt","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:23:58.353415117+09:00","created_by":"WORKDIR /home/tt/work","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:23:58.436427401+09:00","created_by":"COPY verify.sh /ctx/verify.sh # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:24:14.063887305+09:00","created_by":"RUN |12 OMPI_DIR=/opt/openmpi-v5.0.7-ulfm EXTRA_MODELS_DIR= TT_MODEL_KIND=tt-dit-server MODEL_NAME=superpoint-p150 MODEL_REPO=changh95/superpoint-p150 MODEL_WEIGHTS=magic-leap-community/superpoint MODEL_ARCH=blackhole MODEL_PROFILES=default MODEL_TT_METAL_SHA=8b98410e730bb504fea43a88609756e34821d91d MODEL_TT_METAL_DESCRIBE=v0.78.0-dev20260820-25-g8b98410e73 MODEL_PLUGIN_SHA= TT_VLLM_BUILTIN_MODELS= /bin/sh -c bash /ctx/verify.sh # buildkit","comment":"buildkit.dockerfile.v0"},{"created":"2026-09-14T00:24:14.063887305+09:00","created_by":"USER root","comment":"buildkit.dockerfile.v0","empty_layer":true},{"created":"2026-09-14T00:24:14.30003814+09:00","created_by":"RUN |12 OMPI_DIR=/opt/openmpi-v5.0.7-ulfm EXTRA_MODELS_DIR= TT_MODEL_KIND=tt-dit-server MODEL_NAME=superpoint-p150 MODEL_REPO=changh95/superpoint-p150 MODEL_WEIGHTS=magic-leap-community/superpoint MODEL_ARCH=blackhole MODEL_PROFILES=default MODEL_TT_METAL_SHA=8b98410e730bb504fea43a88609756e34821d91d MODEL_TT_METAL_DESCRIBE=v0.78.0-dev20260820-25-g8b98410e73 MODEL_PLUGIN_SHA= TT_VLLM_BUILTIN_MODELS= /bin/sh -c chmod -R a+rwX /home/tt # 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image/blobs/sha256/daa3956739991b365448c913a8c185007e930b3f0e9dc9f285610e04f0759421

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image/blobs/sha256/ff7439df31aa56e1804622aabb35678ae7731fff1d0f1ac1b9eea7fe1c5fd131

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image/index.json

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image/manifest.json

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image/repositories

@@ -1 +1 @@
-{"tt-model/superpoint-p150":{"0544890bca09":"156c24c7261c5288f2b4e0afd6e1afcf9ac8e50b29db6f6a4caaa93992efe329"}}
+{"tt-model/superpoint-p150":{"adcd640a3e2b":"50453b9d5a894de256b0951fc6208d83cb37e4e9ecbb4382e8c6adbd6d62cef6"}}

tt_kernel_manifest.json

@@ -6,7 +6,7 @@
   "device_count": 1,
   "producer": {
     "tt_kernel_version": "0.1.0",
-    "created_at": "2026-09-12T13:23:20.741264+00:00",
+    "created_at": "2026-09-13T15:24:26.846509+00:00",
     "hostname": "deepgadget"
   },
   "weights": {
@@ -31,8 +31,8 @@
     "image": {
       "registry": "hf",
       "repository": "superpoint-p150",
-      "tag": "tt-model/superpoint-p150:0544890bca09",
-      "digest": "sha256:0544890bca091357df56870760eff5cf9a31333a270ec9fe892e444fe8deb373"
+      "tag": "tt-model/superpoint-p150:adcd640a3e2b",
+      "digest": "sha256:adcd640a3e2bc8cdc1547d4e9c2fe539beffe451f0b662ddc566f58a2f79f916"
     },
     "kind": "tt-dit-server",
     "runtime": {
@@ -59,7 +59,8 @@
       "args": [],
       "env": {
         "TT_WEIGHTS_REVISION": "734450e9ffe229074f5998494ddc615475cdb20a",
-        "TT_METAL_VISIBLE_DEVICES": "0"
+        "TT_METAL_VISIBLE_DEVICES": "0",
+        "TT_FUSED": "1"
       }
     },
     "serve_profiles": [
@@ -90,10 +91,10 @@
       "from pathlib import Path; assert Path('/opt/tt-metal/sample_data/house_in_field_1080p.jpg').is_file()"
     ],
     "built": {
-      "image": "tt-model/superpoint-p150:0544890bca09",
+      "image": "tt-model/superpoint-p150:adcd640a3e2b",
       "repo": "changh95/superpoint-p150",
       "tt_model_version": "0.1.0",
-      "created_at": "2026-09-12T13:22:54+00:00",
+      "created_at": "2026-09-13T15:21:44+00:00",
       "tt_metal": {
         "sha": "8b98410e730bb504fea43a88609756e34821d91d",
         "describe": "v0.78.0-dev20260820-25-g8b98410e73",
@@ -104,8 +105,8 @@
         "branch": "main",
         "pushed": true
       },
-      "code_sha256": "006ddc1eb4e69a41438ed32494c6a378b9aaff79fb8ef6094c11e7851836c442",
-      "image_digest": "sha256:0544890bca091357df56870760eff5cf9a31333a270ec9fe892e444fe8deb373"
+      "code_sha256": "ae768681d4aa677d0ca1fea1d5245c0c6a77caf6fff42057f748917e46f81c8b",
+      "image_digest": "sha256:adcd640a3e2bc8cdc1547d4e9c2fe539beffe451f0b662ddc566f58a2f79f916"
     }
   }
 }