26321745713
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Ran 23 May 2026 03:04AM UTC

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Committed 23 May 2026 03:01AM UTC coverage: 72.219%. Remained the same

Build # 26321745713

Build Type

Pull #541

github

Committed by

khatchad

Commit Message

Extend precision audit to fixtures 124-125 (`tf.keras.layers.Input`)

`tf.keras.layers.Input(shape=(32,))` is an alias for `tf.keras.Input(shape=(32,))` (`tf.keras.layers.Input` re-exports from `tf.keras.Input`); the audit shape pattern matches fixtures 100-104 (#535).

- **Layer 1 (Ariadne):** `FLOAT32, (null, NumericDim(32))`—raw `null` for the dynamic batch dim per wala/ML#545.
- **Layer 2 (Hybridize):** `FLOAT32, (SymbolicDim("?"), NumericDim(32))`—the `null → SymbolicDim("?")` collapse, which is correct for dynamic-batch semantics (the resulting `TensorSpec` admits any batch size).

No #524-style flip target on Layer 2. The Layer 1 raw `null` is hygiene-only and flips when wala/ML#545's typed `DynamicDim` lands.

Fixture 127 was originally tagged as `tf.keras.layers.Input` in its Javadoc but its Python uses `numpy.ndarray` and a `value_index` access pattern; it belongs with the `tf.experimental.numpy.ndarray` family (126, 128-133) and will be audited there.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Pull Request Pull Request #541: Extend precision audit to fixtures 124-125 (`tf.keras.layers.Input`)

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ID	Job ID	Ran	Files	Coverage
1	26321745713.1	23 May 2026 03:04AM UTC	31	72.22	GitHub Action Run

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