Test include stride_per_key to KJT's flatten and unflatten#2903
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jd7-tr wants to merge 1 commit intometa-pytorch:mainfrom
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Test include stride_per_key to KJT's flatten and unflatten#2903jd7-tr wants to merge 1 commit intometa-pytorch:mainfrom
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…rch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…rch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: Pull Request resolved: meta-pytorch#2903 # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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…ic (meta-pytorch#2903) Summary: Pull Request resolved: meta-pytorch#2903 # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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May 2, 2025
…ic (meta-pytorch#2903) Summary: # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
…ic (meta-pytorch#2903) Summary: Pull Request resolved: meta-pytorch#2903 # Context * Currently torchrec IR serializer can't handle variable batch use case. * `torch.export` only captures the keys, values, lengths, weights, offsets of a KJT, however, some variable-batch related parameters like `stride_per_rank` or `inverse_indices` would be ignored. * This test case (expected failure right now) covers the vb-KJT scenario for verifying that the serialize_deserialize_ebc use case works fine with KJTs with variable batch size. # Ref Differential Revision: D73051959
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Differential Revision: D73051959