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add feature range validation for ebc #3583
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@TroyGarden has exported this pull request. If you are a Meta employee, you can view the originating Diff in D88013492. |
TroyGarden
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Nov 29, 2025
Summary: Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings). This supports two use cases: 1. Production monitoring - detect invalid embedding IDs without crashing 2. Data quality checks - identify features with values outside [0, num_embeddings) All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values. Differential Revision: D88013492
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TroyGarden
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Dec 9, 2025
Summary: Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings). This supports two use cases: 1. Production monitoring - detect invalid embedding IDs without crashing 2. Data quality checks - identify features with values outside [0, num_embeddings) All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values. Reviewed By: malaybag Differential Revision: D88013492
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TroyGarden
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Dec 9, 2025
Summary: Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings). This supports two use cases: 1. Production monitoring - detect invalid embedding IDs without crashing 2. Data quality checks - identify features with values outside [0, num_embeddings) All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values. Reviewed By: malaybag Differential Revision: D88013492
58792f7 to
72b7703
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TroyGarden
added a commit
to TroyGarden/torchrec
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Dec 11, 2025
Summary: Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings). This supports two use cases: 1. Production monitoring - detect invalid embedding IDs without crashing 2. Data quality checks - identify features with values outside [0, num_embeddings) All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values. Reviewed By: malaybag Differential Revision: D88013492
Summary: Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings). This supports two use cases: 1. Production monitoring - detect invalid embedding IDs without crashing 2. Data quality checks - identify features with values outside [0, num_embeddings) All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values. Reviewed By: malaybag, spmex Differential Revision: D88013492
72b7703 to
3ea3f9c
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Summary:
Enable validation of KeyedJaggedTensor feature values against EmbeddingBagConfig ranges to catch out-of-range embedding lookups early. Modified all validation functions to return boolean values, allowing callers to programmatically distinguish between hard failures (structural errors that raise ValueError) and soft failures (out-of-range values that return False with warnings).
This supports two use cases:
All validation functions now return bool for consistency, maintaining full backward compatibility since existing code can continue to ignore return values.
Differential Revision: D88013492