Publish WaifuFinder Core ML bundle

BasicSR-LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright 2018-2022 BasicSR Authors
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

LICENSE

@@ -0,0 +1,29 @@
+BSD 3-Clause License
+
+Copyright (c) 2021, Xintao Wang
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

NOTICE

@@ -0,0 +1,23 @@
+Real-ESRGAN x2plus, optimized Core ML package for WaifuFinder
+Model weights copyright (c) 2021 Xintao Wang. BSD 3-Clause; see LICENSE.
+
+Original weights: https://github.com/xinntao/Real-ESRGAN (RealESRGAN_x2plus.pth)
+Reference architecture: https://github.com/XPixelGroup/BasicSR (revision 8d56e3a);
+the architecture source and its Apache-2.0 licence are included as
+BasicSR-LICENSE.
+
+WaifuFinder converts these weights to Core ML offline. The conversion fuses the
+network's first convolution into the following upsampling stage, expresses the
+network's input and output shapes as enumerated Core ML shapes, and records the
+native validation result in the model's metadata. The weights themselves are
+unchanged: manifest.json pins the SHA-256 of the original checkpoint and of the
+architecture definition.
+
+This package replaces the pre-converted RealESRGAN_x2plus_522_fp16 model from
+hanxiao/real-esrgan-coreml that earlier builds downloaded. WaifuFinder's version
+adds validated 256 and 384 pixel inputs, so small tiles spend far less work than
+padding to 522, and it is the only variant with a recorded original-model
+parity result. See validation.json.
+
+Inference uses only native Swift and Core ML. Conversion used coremltools and
+PyTorch offline.

README.md

@@ -0,0 +1,59 @@
+---
+license: bsd-3-clause
+library_name: coreml
+tags:
+  - coreml
+  - coremltools
+  - apple-silicon
+  - waifufinder
+  - real-esrgan
+  - image-super-resolution
+---
+
+Published by WaifuFinder. `manifest.json` pins 3 model files by SHA-256;
+the app verifies every one of them, plus the licence, attribution and validation files,
+before installation.
+# Real-ESRGAN x2plus — optimized Core ML
+
+Self-contained framewise 2× upscaler for
+[WaifuFinder](https://github.com/alastorid/WaifuFinder). WaifuFinder downloads
+these files directly: no Python, no source checkpoint, no conversion step.
+
+## Contents
+
+| Path | What |
+| --- | --- |
+| `RealESRGANValidated.mlpackage` | Converted, original-model-validated model |
+| `manifest.json` | Architecture, original fingerprints, SHA-256 of every file |
+| `validation.json` | Original-model parity, tile and product checks |
+| `LICENSE` | Real-ESRGAN weights, BSD 3-Clause |
+| `BasicSR-LICENSE` | Reference architecture, Apache-2.0 |
+| `NOTICE` | Attribution and conversion summary |
+
+The app compiles the package once at install time, on the machine that will run
+it, because compiled Core ML is tied to the local compiler and macOS version.
+
+## What "optimized" means
+
+The network is the unmodified Real-ESRGAN x2plus. The conversion:
+
+- fuses the first convolution into the following stage;
+- expresses 256, 384 and 522 pixel inputs as enumerated Core ML shapes, so a
+  small tile is upscaled at its own size instead of being padded to 522;
+- records the measured parity against the original PyTorch network in the model
+  metadata, and the app refuses to use a package that is not that validated one.
+
+`validation.json` records the measurements: maximum absolute error against the
+original network stays at or below 0.0069 across every supported input size,
+against a 0.01 acceptance bound.
+
+## Provenance
+
+Weights: [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN),
+`RealESRGAN_x2plus.pth`. Architecture reference:
+[XPixelGroup/BasicSR](https://github.com/XPixelGroup/BasicSR) revision
+`8d56e3a`.
+
+## Licence
+
+BSD 3-Clause (weights). See `LICENSE`, `BasicSR-LICENSE` and `NOTICE`.

RealESRGANValidated.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d30588759a34c8b5ff8e599df7ee2b26e8903c9411c4478dd1626fa6af5df766
+size 639795

RealESRGANValidated.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6bf1281034f6b1070d4c3e49c16b468585012aaeb462cdc612f72cf572c08f0
+size 33451264

RealESRGANValidated.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "05F6EBF5-20B3-4836-9B70-068F937BB95B": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "10A29F25-2152-4BA6-9ADF-DCC736B44330": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "10A29F25-2152-4BA6-9ADF-DCC736B44330"
+}

manifest.json

@@ -0,0 +1,217 @@
+{
+  "format": 1,
+  "fileSHA256": {
+    "RealESRGANValidated.mlpackage/Data/com.apple.CoreML/model.mlmodel": "d30588759a34c8b5ff8e599df7ee2b26e8903c9411c4478dd1626fa6af5df766",
+    "RealESRGANValidated.mlpackage/Data/com.apple.CoreML/weights/weight.bin": "b6bf1281034f6b1070d4c3e49c16b468585012aaeb462cdc612f72cf572c08f0",
+    "RealESRGANValidated.mlpackage/Manifest.json": "83d163b928f9176628dc9d0542a07e5e18f43f3c720814f19da42ef3f523fcfb"
+  },
+  "algorithm": "realesrgan-x2plus",
+  "weightsSHA256": "49fafd45f8fd7aa8d31ab2a22d14d91b536c34494a5cfe31eb5d89c2fa266abb",
+  "architectureSHA256": "6aa8eb3f77e918b90eeff4ebfaf8745abe0c40eb8fcc03abbc1928693d70ab58",
+  "basicsrRevision": "8d56e3a045f9fb3e1d8872f92ee4a4f07f886b0a",
+  "blocks": 23,
+  "features": 64,
+  "growth": 32,
+  "scale": 2,
+  "firstConvFusion": true,
+  "inputSizes": [
+    256,
+    384,
+    522
+  ],
+  "adaptiveContextMinimum": 160,
+  "contextValidation": [
+    {
+      "name": "face48",
+      "size": 256,
+      "maximumAbsoluteError": 4.00543212890625e-05,
+      "meanAbsoluteError": 2.171963842556579e-06
+    },
+    {
+      "name": "face96",
+      "size": 256,
+      "maximumAbsoluteError": 0.0007748603820800781,
+      "meanAbsoluteError": 2.0570882043102756e-05
+    },
+    {
+      "name": "edge33",
+      "size": 256,
+      "maximumAbsoluteError": 2.1576881408691406e-05,
+      "meanAbsoluteError": 1.8246862509840867e-06
+    },
+    {
+      "name": "texture224",
+      "size": 384,
+      "maximumAbsoluteError": 0.0018247365951538086,
+      "meanAbsoluteError": 2.1278896383591928e-05
+    }
+  ],
+  "computeUnits": "all",
+  "nativeValidation": {
+    "loadSeconds": 6.234876990318298,
+    "measurements": [
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.0021944642066955566,
+        "meanAbsoluteError": 0.0002783815238753159,
+        "name": "face48-522",
+        "passed": true,
+        "seconds": 0.17321908473968506,
+        "size": 522
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.0021944642066955566,
+        "meanAbsoluteError": 0.0002783815238753159,
+        "name": "face48-522",
+        "passed": true,
+        "seconds": 0.16553306579589844,
+        "size": 522
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.003055870532989502,
+        "meanAbsoluteError": 0.00028002674377321284,
+        "name": "face48-256",
+        "passed": true,
+        "seconds": 0.09531795978546143,
+        "size": 256
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.003055870532989502,
+        "meanAbsoluteError": 0.00028002674377321284,
+        "name": "face48-256",
+        "passed": true,
+        "seconds": 0.04058504104614258,
+        "size": 256
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.004576981067657471,
+        "meanAbsoluteError": 0.0002645799325811968,
+        "name": "face96-522",
+        "passed": true,
+        "seconds": 0.23144400119781494,
+        "size": 522
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.004576981067657471,
+        "meanAbsoluteError": 0.0002645799325811968,
+        "name": "face96-522",
+        "passed": true,
+        "seconds": 0.17217397689819336,
+        "size": 522
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.0029477179050445557,
+        "meanAbsoluteError": 0.000265068670820648,
+        "name": "face96-256",
+        "passed": true,
+        "seconds": 0.11030101776123047,
+        "size": 256
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.0029477179050445557,
+        "meanAbsoluteError": 0.000265068670820648,
+        "name": "face96-256",
+        "passed": true,
+        "seconds": 0.04122304916381836,
+        "size": 256
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.0038352608680725098,
+        "meanAbsoluteError": 0.0004266473578050503,
+        "name": "edge33-522",
+        "passed": true,
+        "seconds": 0.2315129041671753,
+        "size": 522
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.0038352608680725098,
+        "meanAbsoluteError": 0.0004266473578050503,
+        "name": "edge33-522",
+        "passed": true,
+        "seconds": 0.16815698146820068,
+        "size": 522
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.0033462047576904297,
+        "meanAbsoluteError": 0.00042569128413234603,
+        "name": "edge33-256",
+        "passed": true,
+        "seconds": 0.11911606788635254,
+        "size": 256
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.0033462047576904297,
+        "meanAbsoluteError": 0.00042569128413234603,
+        "name": "edge33-256",
+        "passed": true,
+        "seconds": 0.040802955627441406,
+        "size": 256
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.00668102502822876,
+        "meanAbsoluteError": 0.00047618807855966154,
+        "name": "texture224-522",
+        "passed": true,
+        "seconds": 0.2438809871673584,
+        "size": 522
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.00668102502822876,
+        "meanAbsoluteError": 0.00047618807855966154,
+        "name": "texture224-522",
+        "passed": true,
+        "seconds": 0.17585992813110352,
+        "size": 522
+      },
+      {
+        "iteration": 0,
+        "maximumAbsoluteError": 0.006815433502197266,
+        "meanAbsoluteError": 0.00048685786295553395,
+        "name": "texture224-384",
+        "passed": true,
+        "seconds": 0.1328589916229248,
+        "size": 384
+      },
+      {
+        "iteration": 1,
+        "maximumAbsoluteError": 0.006815433502197266,
+        "meanAbsoluteError": 0.00048685786295553395,
+        "name": "texture224-384",
+        "passed": true,
+        "seconds": 0.09376001358032227,
+        "size": 384
+      }
+    ],
+    "passed": true,
+    "peakPhysicalFootprintBytes": 81003144,
+    "plan": {
+      "evidence": "Core ML anticipated placement; not hardware counters",
+      "preferredOperationCounts": {
+        "ane": 1024,
+        "unknown": 2765
+      }
+    },
+    "thermalStateAtEnd": 0,
+    "thermalStateAtStart": 0,
+    "units": "all"
+  },
+  "compiledSourceSHA256": {
+    "Manifest.json": "83d163b928f9176628dc9d0542a07e5e18f43f3c720814f19da42ef3f523fcfb",
+    "Data/com.apple.CoreML/model.mlmodel": "d30588759a34c8b5ff8e599df7ee2b26e8903c9411c4478dd1626fa6af5df766",
+    "Data/com.apple.CoreML/weights/weight.bin": "b6bf1281034f6b1070d4c3e49c16b468585012aaeb462cdc612f72cf572c08f0"
+  },
+  "validated": true
+}

validation.json

@@ -0,0 +1,798 @@
+{
+  "hardware": {
+    "chip": "Apple M3",
+    "GPUCores": 8,
+    "unifiedMemoryGB": 16
+  },
+  "architecture": {
+    "algorithm": "realesrgan-x2plus",
+    "blocks": 23,
+    "features": 64,
+    "growth": 32,
+    "scale": 2,
+    "weightsSHA256": "49fafd45f8fd7aa8d31ab2a22d14d91b536c34494a5cfe31eb5d89c2fa266abb",
+    "architectureSHA256": "6aa8eb3f77e918b90eeff4ebfaf8745abe0c40eb8fcc03abbc1928693d70ab58",
+    "basicsrRevision": "8d56e3a045f9fb3e1d8872f92ee4a4f07f886b0a",
+    "firstConvFusion": true,
+    "inputSizes": [
+      256,
+      384,
+      522
+    ],
+    "adaptiveContextMinimum": 160
+  },
+  "f32AlgebraicFusionChecks": [
+    {
+      "name": "face48-522",
+      "size": 522,
+      "width": 48,
+      "height": 48,
+      "fusionMaximumError": 2.8908252716064453e-06,
+      "fusionMeanError": 2.480328191722947e-07
+    },
+    {
+      "name": "face48-256",
+      "size": 256,
+      "width": 48,
+      "height": 48,
+      "fusionMaximumError": 2.682209014892578e-06,
+      "fusionMeanError": 2.4335980697287596e-07
+    },
+    {
+      "name": "face96-522",
+      "size": 522,
+      "width": 96,
+      "height": 96,
+      "fusionMaximumError": 2.4139881134033203e-06,
+      "fusionMeanError": 2.1461875121531193e-07
+    },
+    {
+      "name": "face96-256",
+      "size": 256,
+      "width": 96,
+      "height": 96,
+      "fusionMaximumError": 2.5033950805664062e-06,
+      "fusionMeanError": 2.1421864460080542e-07
+    },
+    {
+      "name": "edge33-522",
+      "size": 522,
+      "width": 33,
+      "height": 19,
+      "fusionMaximumError": 3.039836883544922e-06,
+      "fusionMeanError": 5.088912757855724e-07
+    },
+    {
+      "name": "edge33-256",
+      "size": 256,
+      "width": 33,
+      "height": 19,
+      "fusionMaximumError": 2.9206275939941406e-06,
+      "fusionMeanError": 5.049125206824101e-07
+    },
+    {
+      "name": "texture224-522",
+      "size": 522,
+      "width": 224,
+      "height": 167,
+      "fusionMaximumError": 8.344650268554688e-06,
+      "fusionMeanError": 7.148956910896231e-07
+    },
+    {
+      "name": "texture224-384",
+      "size": 384,
+      "width": 224,
+      "height": 167,
+      "fusionMaximumError": 9.804964065551758e-06,
+      "fusionMeanError": 7.217369102363591e-07
+    }
+  ],
+  "contextChecks": [
+    {
+      "name": "face48",
+      "size": 256,
+      "maximumAbsoluteError": 4.00543212890625e-05,
+      "meanAbsoluteError": 2.171963842556579e-06
+    },
+    {
+      "name": "face96",
+      "size": 256,
+      "maximumAbsoluteError": 0.0007748603820800781,
+      "meanAbsoluteError": 2.0570882043102756e-05
+    },
+    {
+      "name": "edge33",
+      "size": 256,
+      "maximumAbsoluteError": 2.1576881408691406e-05,
+      "meanAbsoluteError": 1.8246862509840867e-06
+    },
+    {
+      "name": "texture224",
+      "size": 384,
+      "maximumAbsoluteError": 0.0018247365951538086,
+      "meanAbsoluteError": 2.1278896383591928e-05
+    }
+  ],
+  "rejected160PixelContext": {
+    "maximumAbsoluteError": 0.0048264265060424805,
+    "meanAbsoluteError": 0.0002025048015639186,
+    "gate": [
+      0.002,
+      0.0002
+    ]
+  },
+  "nativeOriginalModelChecks": {
+    "previous": {
+      "loadSeconds": 2.7526400089263916,
+      "measurements": [
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0021944642066955566,
+          "meanAbsoluteError": 0.0002783815238753159,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 0.17374193668365479,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.004576981067657471,
+          "meanAbsoluteError": 0.0002645799325811968,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 0.1685999631881714,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0038352608680725098,
+          "meanAbsoluteError": 0.0004266473578050503,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 0.16966593265533447,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.00668102502822876,
+          "meanAbsoluteError": 0.00047618807855966154,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 0.16941702365875244,
+          "size": 522
+        }
+      ],
+      "passed": true,
+      "peakPhysicalFootprintBytes": 76989064,
+      "plan": {
+        "evidence": "Core ML anticipated placement; not hardware counters",
+        "preferredOperationCounts": {
+          "ane": 1025,
+          "unknown": 2766
+        }
+      },
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "all"
+    },
+    "GPU": {
+      "loadSeconds": 0.7356719970703125,
+      "measurements": [
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.002096235752105713,
+          "meanAbsoluteError": 0.00019855283196158603,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 1.2581199407577515,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0018474459648132324,
+          "meanAbsoluteError": 0.00019774417474776945,
+          "name": "face48-256",
+          "passed": true,
+          "seconds": 0.4369699954986572,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0021891146898269653,
+          "meanAbsoluteError": 0.00018135056670155644,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 1.151811957359314,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0019216537475585938,
+          "meanAbsoluteError": 0.00018246393744506909,
+          "name": "face96-256",
+          "passed": true,
+          "seconds": 0.42760002613067627,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0018963217735290527,
+          "meanAbsoluteError": 0.0003419771180515401,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 1.192965030670166,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0018770098686218262,
+          "meanAbsoluteError": 0.000333055145820679,
+          "name": "edge33-256",
+          "passed": true,
+          "seconds": 0.4074610471725464,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.006647944450378418,
+          "meanAbsoluteError": 0.0005955265553250281,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 1.1567039489746094,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0075716376304626465,
+          "meanAbsoluteError": 0.0005843207291772896,
+          "name": "texture224-384",
+          "passed": true,
+          "seconds": 0.6753689050674438,
+          "size": 384
+        }
+      ],
+      "passed": true,
+      "peakPhysicalFootprintBytes": 515703648,
+      "plan": {
+        "evidence": "Core ML anticipated placement; not hardware counters",
+        "preferredOperationCounts": {
+          "gpu": 1024,
+          "unknown": 2765
+        }
+      },
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "gpu"
+    },
+    "ANE": {
+      "loadSeconds": 0.10446703433990479,
+      "measurements": [
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0021944642066955566,
+          "meanAbsoluteError": 0.0002783815238753159,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 0.17560791969299316,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0021944642066955566,
+          "meanAbsoluteError": 0.0002783815238753159,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 0.16761994361877441,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.003055870532989502,
+          "meanAbsoluteError": 0.00028002674377321284,
+          "name": "face48-256",
+          "passed": true,
+          "seconds": 0.08003497123718262,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.003055870532989502,
+          "meanAbsoluteError": 0.00028002674377321284,
+          "name": "face48-256",
+          "passed": true,
+          "seconds": 0.04110407829284668,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.004576981067657471,
+          "meanAbsoluteError": 0.0002645799325811968,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 0.2167060375213623,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.004576981067657471,
+          "meanAbsoluteError": 0.0002645799325811968,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 0.16805803775787354,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0029477179050445557,
+          "meanAbsoluteError": 0.000265068670820648,
+          "name": "face96-256",
+          "passed": true,
+          "seconds": 0.10328304767608643,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0029477179050445557,
+          "meanAbsoluteError": 0.000265068670820648,
+          "name": "face96-256",
+          "passed": true,
+          "seconds": 0.04146707057952881,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0038352608680725098,
+          "meanAbsoluteError": 0.0004266473578050503,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 0.22254693508148193,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0038352608680725098,
+          "meanAbsoluteError": 0.0004266473578050503,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 0.16512000560760498,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0033462047576904297,
+          "meanAbsoluteError": 0.00042569128413234603,
+          "name": "edge33-256",
+          "passed": true,
+          "seconds": 0.1156010627746582,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0033462047576904297,
+          "meanAbsoluteError": 0.00042569128413234603,
+          "name": "edge33-256",
+          "passed": true,
+          "seconds": 0.04026901721954346,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.00668102502822876,
+          "meanAbsoluteError": 0.00047618807855966154,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 0.2337939739227295,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.00668102502822876,
+          "meanAbsoluteError": 0.00047618807855966154,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 0.17451798915863037,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.006815433502197266,
+          "meanAbsoluteError": 0.00048685786295553395,
+          "name": "texture224-384",
+          "passed": true,
+          "seconds": 0.1444849967956543,
+          "size": 384
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.006815433502197266,
+          "meanAbsoluteError": 0.00048685786295553395,
+          "name": "texture224-384",
+          "passed": true,
+          "seconds": 0.09445405006408691,
+          "size": 384
+        }
+      ],
+      "passed": true,
+      "peakPhysicalFootprintBytes": 53822064,
+      "plan": {
+        "evidence": "Core ML anticipated placement; not hardware counters",
+        "preferredOperationCounts": {
+          "ane": 1024,
+          "unknown": 2765
+        }
+      },
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "ane"
+    },
+    "automatic": {
+      "loadSeconds": 6.234876990318298,
+      "measurements": [
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0021944642066955566,
+          "meanAbsoluteError": 0.0002783815238753159,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 0.17321908473968506,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0021944642066955566,
+          "meanAbsoluteError": 0.0002783815238753159,
+          "name": "face48-522",
+          "passed": true,
+          "seconds": 0.16553306579589844,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.003055870532989502,
+          "meanAbsoluteError": 0.00028002674377321284,
+          "name": "face48-256",
+          "passed": true,
+          "seconds": 0.09531795978546143,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.003055870532989502,
+          "meanAbsoluteError": 0.00028002674377321284,
+          "name": "face48-256",
+          "passed": true,
+          "seconds": 0.04058504104614258,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.004576981067657471,
+          "meanAbsoluteError": 0.0002645799325811968,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 0.23144400119781494,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.004576981067657471,
+          "meanAbsoluteError": 0.0002645799325811968,
+          "name": "face96-522",
+          "passed": true,
+          "seconds": 0.17217397689819336,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0029477179050445557,
+          "meanAbsoluteError": 0.000265068670820648,
+          "name": "face96-256",
+          "passed": true,
+          "seconds": 0.11030101776123047,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0029477179050445557,
+          "meanAbsoluteError": 0.000265068670820648,
+          "name": "face96-256",
+          "passed": true,
+          "seconds": 0.04122304916381836,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0038352608680725098,
+          "meanAbsoluteError": 0.0004266473578050503,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 0.2315129041671753,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0038352608680725098,
+          "meanAbsoluteError": 0.0004266473578050503,
+          "name": "edge33-522",
+          "passed": true,
+          "seconds": 0.16815698146820068,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.0033462047576904297,
+          "meanAbsoluteError": 0.00042569128413234603,
+          "name": "edge33-256",
+          "passed": true,
+          "seconds": 0.11911606788635254,
+          "size": 256
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.0033462047576904297,
+          "meanAbsoluteError": 0.00042569128413234603,
+          "name": "edge33-256",
+          "passed": true,
+          "seconds": 0.040802955627441406,
+          "size": 256
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.00668102502822876,
+          "meanAbsoluteError": 0.00047618807855966154,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 0.2438809871673584,
+          "size": 522
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.00668102502822876,
+          "meanAbsoluteError": 0.00047618807855966154,
+          "name": "texture224-522",
+          "passed": true,
+          "seconds": 0.17585992813110352,
+          "size": 522
+        },
+        {
+          "iteration": 0,
+          "maximumAbsoluteError": 0.006815433502197266,
+          "meanAbsoluteError": 0.00048685786295553395,
+          "name": "texture224-384",
+          "passed": true,
+          "seconds": 0.1328589916229248,
+          "size": 384
+        },
+        {
+          "iteration": 1,
+          "maximumAbsoluteError": 0.006815433502197266,
+          "meanAbsoluteError": 0.00048685786295553395,
+          "name": "texture224-384",
+          "passed": true,
+          "seconds": 0.09376001358032227,
+          "size": 384
+        }
+      ],
+      "passed": true,
+      "peakPhysicalFootprintBytes": 81003144,
+      "plan": {
+        "evidence": "Core ML anticipated placement; not hardware counters",
+        "preferredOperationCounts": {
+          "ane": 1024,
+          "unknown": 2765
+        }
+      },
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "all"
+    }
+  },
+  "ANEHardwareEvidence": {
+    "samples": 30,
+    "maximumANEPowerWatts": 12.295618057250977,
+    "maximumGPUPowerWatts": 0.4145999550819397,
+    "scope": "Native ANE predictions overlapping power-counter sampling; automatic configuration also prefers ANE for all 1024 model operations"
+  },
+  "nativeImageBenchmark": {
+    "original": {
+      "geometry": [
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192"
+      ],
+      "loadSeconds": 0.09122204780578613,
+      "passed": true,
+      "peakPhysicalFootprintBytes": 34603560,
+      "secondsPerImage": [
+        0.18905508518218994,
+        0.17750096321105957,
+        0.17441201210021973,
+        0.17168307304382324,
+        0.1734539270401001,
+        0.1752469539642334,
+        0.1750020980834961,
+        0.17427706718444824
+      ],
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "all"
+    },
+    "optimized": {
+      "geometry": [
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192",
+        "192x192"
+      ],
+      "loadSeconds": 0.0954359769821167,
+      "passed": true,
+      "peakPhysicalFootprintBytes": 38158912,
+      "secondsPerImage": [
+        0.0821380615234375,
+        0.05066406726837158,
+        0.0490570068359375,
+        0.049021005630493164,
+        0.04930400848388672,
+        0.05016791820526123,
+        0.04987895488739014,
+        0.049877047538757324
+      ],
+      "thermalStateAtEnd": 0,
+      "thermalStateAtStart": 0,
+      "units": "all"
+    },
+    "medianSpeedup": 3.5026875745386667,
+    "inputTensorBytesBefore": 3269808,
+    "inputTensorBytesAfter": 393216
+  },
+  "nativePixelCheck": {
+    "passed": true,
+    "reference": "Original pretrained FP32 RRDBNet, canonical 522 input",
+    "repeatPixelsIdentical": true,
+    "errors": {
+      "before": {
+        "maximumAbsoluteError": 0.004520326852798462,
+        "meanAbsoluteError": 0.000994599424302578
+      },
+      "after": {
+        "maximumAbsoluteError": 0.004520326852798462,
+        "meanAbsoluteError": 0.0009949258528649807
+      }
+    }
+  },
+  "partialTileCheck": {
+    "passed": true,
+    "geometry": [
+      1090,
+      38
+    ],
+    "maximumByteDifference": 1,
+    "meanByteDifference": 0.0045871559633027525,
+    "scope": "Native overlap/blending and odd partial tiles versus previous implementation"
+  },
+  "productOriginalModelCheck": {
+    "passed": true,
+    "scope": "Actual native 2x video PNGs versus original FP32 checkpoint with canonical 522 reflection padding",
+    "weightsSHA256": "49fafd45f8fd7aa8d31ab2a22d14d91b536c34494a5cfe31eb5d89c2fa266abb",
+    "frames": [
+      {
+        "frame": 0,
+        "maximumAbsoluteError": 0.0034214258193969727,
+        "meanAbsoluteError": 0.0010005399817600846
+      },
+      {
+        "frame": 1,
+        "maximumAbsoluteError": 0.0037658214569091797,
+        "meanAbsoluteError": 0.0009972506668418646
+      },
+      {
+        "frame": 2,
+        "maximumAbsoluteError": 0.0032511353492736816,
+        "meanAbsoluteError": 0.0010040774941444397
+      },
+      {
+        "frame": 3,
+        "maximumAbsoluteError": 0.003156222403049469,
+        "meanAbsoluteError": 0.0010005950462073088
+      },
+      {
+        "frame": 4,
+        "maximumAbsoluteError": 0.0034334659576416016,
+        "meanAbsoluteError": 0.0010053260484710336
+      },
+      {
+        "frame": 5,
+        "maximumAbsoluteError": 0.003657594323158264,
+        "meanAbsoluteError": 0.0010041787754744291
+      },
+      {
+        "frame": 6,
+        "maximumAbsoluteError": 0.0038900673389434814,
+        "meanAbsoluteError": 0.001005176454782486
+      },
+      {
+        "frame": 7,
+        "maximumAbsoluteError": 0.003665834665298462,
+        "meanAbsoluteError": 0.0010054343147203326
+      }
+    ]
+  },
+  "productTests": {
+    "passed": 21,
+    "failed": 0,
+    "skippedOtherModelFixtures": 3,
+    "scales": {
+      "1": {
+        "backend": "native Swift Core ML",
+        "computeUnits": "all",
+        "frames": 2,
+        "inferenceSeconds": 0.12606394290924072,
+        "loadSeconds": 0.08899903297424316,
+        "memoryBudgetBytes": 6000000000,
+        "memoryScope": "whole application process; sampled every 20 ms; checked between predictions",
+        "model": "realesrgan-x2plus",
+        "peakPhysicalFootprintBytes": 77300576,
+        "predictionSizes": [
+          256,
+          256
+        ],
+        "pythonRuntime": false,
+        "reusedInputBuffers": true,
+        "scale": 1,
+        "seconds": 0.36799097061157227,
+        "singleTileBlendBypass": true,
+        "sourceDownsampling": 1,
+        "stagesPerFrame": 1
+      },
+      "2": {
+        "backend": "native Swift Core ML",
+        "computeUnits": "all",
+        "frames": 8,
+        "inferenceSeconds": 0.38128209114074707,
+        "loadSeconds": 0.08235108852386475,
+        "memoryBudgetBytes": 6000000000,
+        "memoryScope": "whole application process; sampled every 20 ms; checked between predictions",
+        "model": "realesrgan-x2plus",
+        "peakPhysicalFootprintBytes": 88114016,
+        "predictionSizes": [
+          256,
+          256,
+          256,
+          256,
+          256,
+          256,
+          256,
+          256
+        ],
+        "pythonRuntime": false,
+        "reusedInputBuffers": true,
+        "scale": 2,
+        "seconds": 0.8323550224304199,
+        "singleTileBlendBypass": true,
+        "sourceDownsampling": 2,
+        "stagesPerFrame": 1
+      }
+    }
+  },
+  "coldCompilationObservation": {
+    "seconds": 6.407866954803467,
+    "peakPhysicalFootprintBytes": 79954592,
+    "scope": "First Core ML load of the newly sealed flexible model; subsequent loads reuse the compiled backend cache"
+  },
+  "limitations": [
+    "Measurements apply to these SDR ROI fixtures on this machine.",
+    "ANE driver/workspace memory is not fully represented by process footprint. Standalone process footprint stayed roughly 35\u201338 MB; no overall memory reduction is claimed.",
+    "Adaptive context is a measured approximation of canonical 522 padding: stricter .002 maximum/.0002 mean context gates passed on the recorded fixtures.",
+    "Large tiles retain the existing 522 path. RealESRGAN remains frame-by-frame restoration.",
+    "Production app memory is sampled every 20 ms and checked between predictions, rather than terminating the UI process mid-prediction."
+  ]
+}