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Test include stride_per_key to KJT's flatten and unflatten #2903

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@jd7-tr jd7-tr commented Apr 22, 2025

Differential Revision: D73051959

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Apr 22, 2025
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This pull request was exported from Phabricator. Differential Revision: D73051959

@jd7-tr jd7-tr force-pushed the export-D73051959 branch from ce9124e to 7fef289 Compare April 25, 2025 20:23
jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request Apr 25, 2025
)

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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This pull request was exported from Phabricator. Differential Revision: D73051959

@jd7-tr jd7-tr force-pushed the export-D73051959 branch from 7fef289 to 6a3d229 Compare April 26, 2025 03:56
jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request Apr 26, 2025
)

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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This pull request was exported from Phabricator. Differential Revision: D73051959

jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request Apr 29, 2025
…ic (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
jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request Apr 29, 2025
…ic (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
@jd7-tr jd7-tr force-pushed the export-D73051959 branch from 6a3d229 to e38a01e Compare April 29, 2025 21:24
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This pull request was exported from Phabricator. Differential Revision: D73051959

jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request Apr 30, 2025
…ic (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 (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
@jd7-tr jd7-tr force-pushed the export-D73051959 branch from e38a01e to 3c683af Compare May 1, 2025 00:35
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D73051959

jd7-tr added a commit to jd7-tr/torchrec that referenced this pull request May 1, 2025
…ic (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
jd7-tr pushed a commit to jd7-tr/torchrec that referenced this pull request May 1, 2025
…ic (pytorch#2903)

Summary:
Pull Request resolved: 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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