February 2026 monthly summary for the TorchRec project (pytorch/torchrec): Key features delivered: - Implemented a comprehensive unit test suite for ITEPEmbeddingCollection, validating training forward pass, evaluation, configuration access, forward passes, pruning schedules, and output validation. The tests mirror the structure of existing ITEPEmbeddingBagCollection tests to ensure consistent reliability across embedding collection APIs. Major bugs fixed: - No major bugs fixed this month; effort focused on reliability through expanded test coverage and CI readiness. Overall impact and accomplishments: - Significantly improved reliability and confidence in the ITEPEmbeddingCollection API, reducing risk in training/evaluation workflows and configuration handling. - Strengthened maintainability and future-proofing by aligning tests with related classes and establishing a robust testing baseline for embedding collections. Technologies/skills demonstrated: - Python unit testing (pytest/unittest), code quality, and test-driven development. - Deep familiarity with PyTorch/TorchRec embedding components, including training/evaluation paths and pruning schedules. - Effective collaboration signals through alignment with existing tests and clear documentation in commit messages.