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RELEASE.md
* `tf.sparse.segment_sum` `tf.sparse.segment_mean` `tf.sparse.segment_sqrt_n` `SparseSegmentSum/Mean/SqrtN[WithNumSegments]` * Added `sparse_gradient` option (default=false) that makes the gradient of these functions/ops sparse (`IndexedSlices`) instead of dense (`Tensor`), using new `SparseSegmentSum/Mean/SqrtNGradV2` ops. * `tf.nn.embedding_lookup_sparse`
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LICENSE
1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all
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CITATION.cff
- family-names: Chen given-names: Zhifeng - family-names: Citro given-names: Craig - family-names: Corrado given-names: Greg S. - family-names: Davis given-names: Andy - family-names: Dean given-names: Jeffrey - family-names: Devin given-names: Matthieu - family-names: Ghemawat given-names: Sanjay - family-names: Goodfellow given-names: Ian - family-names: Harp
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.bazelrc
# On linux, we dynamically link small amount of kernels build:linux --config=dynamic_kernels # Make sure to include as little of windows.h as possible build:windows --copt=-DWIN32_LEAN_AND_MEAN build:windows --host_copt=-DWIN32_LEAN_AND_MEAN build:windows --copt=-DNOGDI build:windows --host_copt=-DNOGDI # MSVC (Windows): Standards-conformant preprocessor mode
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