Support pure Keras 3 keras_mdn_layer v0.7.0-alpha#65
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cpmpercussion wants to merge 7 commits intomainfrom
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Support pure Keras 3 keras_mdn_layer v0.7.0-alpha#65cpmpercussion wants to merge 7 commits intomainfrom
cpmpercussion wants to merge 7 commits intomainfrom
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…w-probability and tf-keras - Replace keras-mdn-layer 0.6.0 with 0.7.0-alpha git dep (pure Keras 3, no tfp) - Remove tensorflow-probability and tf-keras dependencies - Fix TFLite conversion: use from_concrete_functions instead of from_keras_model (from_keras_model fails with Keras 3 custom layers on TF 2.16-2.19) - Fix TFLite no-signature fallback: map inputs by position and outputs by shape instead of relying on tensor names (which differ across conversion methods) - Simplify CI matrix to Python 3.11+3.12 x Ubuntu+macOS with poetry-locked deps - Existing bundled .tflite models (e.g. Roland S-1) continue to work unchanged Closes #64 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ilure) The from_concrete_functions approach with serve(*args) produced TFLite SignatureDefs with positional input keys (args_0, args_1, ...) on the cp311 wheel, causing TfliteMDRNN._discover_output_keys to fail with 'Invalid Input name (inputs) for SignatureDef'. The cp312 wheel produced no SignatureDef at all, so 3.12 accidentally worked via the fallback path. from_keras_model preserves the model's named inputs in the SignatureDef and the SignatureRunner works correctly on TF 2.19.1+ with Keras 3. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…indows and python 3.11.
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Summary
Closes #64
keras-mdn-layerfrom v0.6.0 to v0.7.0-alpha (pure Keras 3, backend-agnostic)tensorflow-probabilityandtf-kerasdependencies (no longer needed)from_concrete_functionsinstead offrom_keras_model)What still works
.tflitemodels (e.g. Roland S-1 config) load and run correctlyStill to test
poetry run ./start_impsy.py runTest plan
poetry run ./start_impsy.py run -c configs/roland-s-1.toml.tfliteand run correctly🤖 Generated with Claude Code