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MLP Layer Embed for Float Tensors And FloatListSeqTensorizer for list[list[[float]] features. #1374

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@wngzhiqi wngzhiqi commented Jun 3, 2020

Summary:

  1. Add floatListSeqTensorizer to tensorizer the input feature with schema list[list[float]].
  2. With FloatListTensorizer/floatListSeqTensorizer, we have tensors that require an MLP transformation for an embedding. Implement MLPEmbedding for this case.

Differential Revision: D21563937

…[list[[float]] features.

Summary:
1. Add floatListSeqTensorizer to tensorizer the input feature with schema list[list[float]].
2. With FloatListTensorizer/floatListSeqTensorizer, we have tensors that require an MLP transformation for an embedding. Implement MLPEmbedding for this case.

Differential Revision: D21563937

fbshipit-source-id: d37a021aa63510ce03b6f3c252370b3315d98972
@facebook-github-bot facebook-github-bot added CLA Signed Do not delete this pull request or issue due to inactivity. fb-exported labels Jun 3, 2020
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This pull request was exported from Phabricator. Differential Revision: D21563937

wngzhiqi pushed a commit to wngzhiqi/pytext that referenced this pull request Jun 6, 2020
…[list[[float]] features. (facebookresearch#1374)

Summary:
Pull Request resolved: facebookresearch#1374

1. Add floatListSeqTensorizer to tensorizer the input feature with schema list[list[float]].
2. With FloatListTensorizer/floatListSeqTensorizer, we have tensors that require an MLP transformation for an embedding. Implement MLPEmbedding for this case.

Differential Revision: D21563937

fbshipit-source-id: cca7dc34b0260a18751a6563eca0cf6d3e1ab836
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This pull request has been merged in 95e2bc8.

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