| # Validation |
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| This page models a fixed CPU-compatible PyTorch example. It does not execute |
| Python in the browser or provide a general-purpose shape inference engine. |
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| The JavaScript tests cover the canonical mismatch, batch-preserving fixed head, |
| non-square inputs, floor pooling for odd dimensions, adaptive-pooling dimensions, |
| unsafe reshape, and invalid input rejection. The separate Python check invokes |
| actual PyTorch Conv2d, ReLU, MaxPool2d, Flatten, Linear and AdaptiveAvgPool2d, |
| then compares their shapes and errors with the JavaScript calculator for 21 cases. |
| For successful paths it also compares full-batch and per-image outputs. |
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| ## Executed checks — October 11, 2026 |
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| Environment: Node.js **26.5.0**, Python **3.12.14**, PyTorch **2.7.1**, CPU. |
| No dependencies were downloaded or installed for this check. |
|
|
| - **5 JavaScript tests passed**, zero failures and zero skips. |
| - **21 actual PyTorch comparisons passed**: all three heads for batch/image |
| combinations `(1,16,16)`, `(2,16,16)`, `(5,16,16)`, `(2,16,20)`, |
| `(3,17,19)`, `(2,8,8)` and `(1,3,3)`. |
| - Successful paths preserved the number of samples, and full-batch outputs |
| matched concatenated per-image outputs (`atol=1e-6`, `rtol=1e-5`). |
| - JavaScript syntax checks passed for both application modules. |
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| Representative observations: |
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| | Input NCHW | Flatten before optional adaptive pool | Original 128 head | Fixed 512 head | Adaptive pool + 8 head | |
| | --- | --- | --- | --- | --- | |
| | `[2,3,16,16]` | `[2,512]` | Exact error `(2x512 and 128x5)` | `[2,5]` | `[2,5]` | |
| | `[2,3,16,20]` | `[2,640]` | Mismatch | Exact error `(2x640 and 512x5)` | `[2,5]` | |
| | `[3,3,17,19]` | `[3,576]` | Mismatch | Mismatch | `[3,5]` | |
| | `[2,3,8,8]` | `[2,128]` | `[2,5]` | Mismatch | `[2,5]` | |
| | `[1,3,3,3]` | `[1,8]` | Mismatch | Mismatch | `[1,5]` | |
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| For the default input, `reshape(-1,128)` changes `[2,512]` to `[8,128]` and |
| produces `[8,5]` through the original head. The operation runs but does not |
| preserve one output row per image. Odd-sized pooling and impossible/redundant |
| reshape cases were also checked against PyTorch. |
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| Browser rendering and interaction acceptance are not established by these tests. |
| No model accuracy, checkpoint compatibility or extension capture result is |
| claimed by this standalone lesson. |
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| ## Browser QA — October 11, 2026 |
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|
| A separate in-app browser pass checked the locally served lesson at **1280 × 720** |
| and **390 × 844**. It verified these interactions: |
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| - The default input displays `512 ≠ 128` at the original classifier. |
| - Choosing the 512-feature head produces the calculated output `[2,5]`. |
| - Changing the image to 16 × 20 produces `640 ≠ 512` with that fixed head. |
| - Adding adaptive pooling produces `[2,5]` and shows the explicit warning that |
| the architecture and computation change. |
| - A 17 × 19 image pools to spatial size 8 × 9. |
| - Batch zero shows the validation message; Reset restores the starting lesson. |
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| The 390-pixel-wide page had readable text and no horizontal overflow. A full-page |
| mobile screenshot was saved as `tensorviz-shape-lab-mobile-2026-10-11.png`. |
| No lesson-origin console errors were observed. These results cover the two |
| listed viewports; 320-pixel rendering and hosted Hugging Face behavior were not |
| established by this local pass. |
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| A source review also confirmed the visible arithmetic-only notice, batch-preserving |
| flatten, explicit adaptive-pooling semantics, unsafe-reshape sample-count warning, |
| and distinction between this lesson and actual tensorViz model capture. The code |
| adds no runtime fetch or tracking, and the footer limits its claim to calculations |
| staying in the reader's browser. |
|
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| ## Hosted verification and optional referral link — October 11, 2026 |
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|
| The public [Hugging Face Space](https://huggingface.co/spaces/tensorviz-org/pytorch-shape-lab) |
| was published through merged PR #1 at source commit |
| `853be1018ddda93bd5866c07df5ab1f65f2b76d3`. All 11 uploaded files matched the |
| checked local bytes, including the materialized logo stored through Git LFS. |
| A hosted desktop check confirmed the default `512 ≠ 128` mismatch and switching |
| to the fixed 512-feature head to produce the calculated shape `[2,5]`. |
| These are arithmetic interactions, not model execution in the browser. |
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| A hosted **390 × 844** mobile check also passed: the iframe and outer document |
| both measured 390 pixels wide without page overflow, the controls were readable, |
| and selecting 16 × 20 changed the fixed 512-feature head to `640 ≠ 512`. |
| The screenshot is `tensorviz-huggingface-shape-lab-mobile-2026-10-11.png`. |
| No lesson-origin error was identified. An earlier unattributed host-page error |
| preceded the live app; this is not a clean-console claim for Hugging Face's |
| hosting interface. |
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| The optional recorded-model link in the lesson and README now uses this URL, |
| without changing its visible label: |
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| <https://tensorviz.dev/explore/?utm_source=huggingface&utm_medium=referral&utm_campaign=shape_lab_202610&utm_content=shape_lab_recorded_models> |
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| These query parameters label visits that follow the link for the website's |
| existing attribution reporting. They add no tracking code, runtime request, |
| cookie or analytics event to the lesson. Both locations share the same campaign |
| tag, so it does not distinguish a lesson click from a README click. Copied links, |
| blocked analytics and reporting delays also limit attribution. A tagged visit |
| is not proof of a Marketplace install, product activation or conversion; no such |
| outcome was measured by this change. |
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| Local validation checked that both links resolve to the same exact URL and four |
| requested UTM values, that the HTML preserves its visible anchor text, and that |
| no calculation code changed. The tagged-link update requires its own hosted |
| publication and verification; the source commit above describes the preceding |
| published version. |
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