feat: PyTorch TensorDict Phase 4 - Schema Inference, IO Serialization, and Hypothesis Strategies - #2316
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…ensorDict Phase 3 - Add coerce_dtype implementation in TensorDictSchemaBackend - Support both schema-level (schema.coerce=True) and tensor-level coerce flags - Handle both TensorDict and tensorclass objects during coercion - Added 9 comprehensive tests for coercion functionality - Updated documentation with type coercion examples Phase 2 backend infrastructure was already implemented in Phase 1. Phase 3 adds dtype coercion capability to match other pandera backends.
…ion, and hypothesis strategies - Implement pa.infer_schema() to automatically infer TensorDict schemas from data - Add schema.save/load() methods with YAML support for configuration management - Integrate Hypothesis strategies for property-based testing of TensorDict schemas - Include complete ML pipeline example demonstrating all Phase 4 features
- Add schema inference via pa.infer_schema() to automatically infer TensorDict schemas from data - Implement IO operations (save/load/to_yaml/from_yaml) for TensorDictSchema serialization - Integrate Hypothesis strategies (tensordict_strategy, tensorclass_strategy) for property-based testing - Update API exports and entry points in pandera/tensordict.py - Add 30 comprehensive tests covering all Phase 4 features
…trategies) - Add tensordict_schema_inference.md with pa.infer_schema() examples - Add tensordict_io.md with YAML/JSON serialization examples - Add tensordict_strategies.md with Hypothesis property-based testing docs - Update index.md to include new doc pages - Fix existing docs to use correct batch_size values
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## dev/pytorch-tensordict-phase1 #2316 +/- ##
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- Coverage 78.39% 77.83% -0.56%
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Files 193 199 +6
Lines 15925 16297 +372
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+ Hits 12484 12685 +201
- Misses 3441 3612 +171 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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- Add schema inference via pa.infer_schema() to automatically infer TensorDict schemas from data - Implement IO operations (save/load/to_yaml/from_yaml) for TensorDictSchema serialization - Integrate Hypothesis strategies (tensordict_strategy, tensorclass_strategy) for property-based testing - Update API exports and entry points in pandera/tensordict.py - Add 30 comprehensive tests covering all Phase 4 features Docs: - Add tensordict_schema_inference.md with pa.infer_schema() examples - Add tensordict_io.md with YAML/JSON serialization examples - Add tensordict_strategies.md with Hypothesis property-based testing docs - Update index.md to include new doc pages
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April 27, 2026 22:38
- Add proper type annotations to _strategy_import_error decorator - Fix statistics dict typing in io/tensordict_io.py - Resolve single overload issue in schema_inference/tensordict.py - Handle optional infer_schema type in entry point
…dict-phase4 # Conflicts: # docs/source/pytorch_guide/tensordict_io.md # docs/source/pytorch_guide/tensordict_schema.md # docs/source/pytorch_guide/tensordict_strategies.md
- Fix _wrapper decorator type annotations in strategies module - Remove redundant overload signatures in schema inference - Add TYPE_CHECKING import for proper typing
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PyTorch TensorDict Phase 4 Implementation
This PR implements Phase 4 features for PyTorch TensorDict integration in pandera.
What's New
🎯 Schema Inference
💾 IO Serialization/Deserialization
🧪 Hypothesis Strategies
Files Changed
New Modules:
Updated Entry Points:
Tests Added:
Documentation:
Testing
All 84 tensordict tests pass:
Related Work**
Based on: (Phase 3 already merged)