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RELEASE.md
* `tf.tpu.experimental.embedding`: * `tf.tpu.experimental.embedding.FeatureConfig` now takes an additional argument `output_shape` which can specify the shape of the output activation for the feature. * `tf.tpu.experimental.embedding.TPUEmbedding` now has the same behavior as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can
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docs/en/docs/release-notes.md
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okhttp/src/test/resources/okhttp3/internal/idn/rfc3454.C.8.txt
0340; COMBINING GRAVE TONE MARK 0341; COMBINING ACUTE TONE MARK 200E; LEFT-TO-RIGHT MARK 200F; RIGHT-TO-LEFT MARK 202A; LEFT-TO-RIGHT EMBEDDING 202B; RIGHT-TO-LEFT EMBEDDING 202C; POP DIRECTIONAL FORMATTING 202D; LEFT-TO-RIGHT OVERRIDE 202E; RIGHT-TO-LEFT OVERRIDE 206A; INHIBIT SYMMETRIC SWAPPING 206B; ACTIVATE SYMMETRIC SWAPPING 206C; INHIBIT ARABIC FORM SHAPING 206D; ACTIVATE ARABIC FORM SHAPING
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ChangeLog.md
- [`KT-60531`](https://youtrack.jetbrains.com/issue/KT-60531) K2/JS: Report diagnostics before running FIR2IR - [`KT-32275`](https://youtrack.jetbrains.com/issue/KT-32275) Embedding kotlin-compiler-embeddable into a Java EE App leads to CDI related deployment error - [`KT-57845`](https://youtrack.jetbrains.com/issue/KT-57845) K2. Unresolved reference error on calling Java references with fully qualified name
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.bazelrc
# Select supported compute capabilities (supported graphics cards). # This is the same as the official TensorFlow builds. # See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX # is forward compatible beyond the current compute capability major # release while SASS is only forward compatible inside the current # major release. Example: sm_80 kernels can run on sm_89 GPUs but
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CHANGELOG/CHANGELOG-1.9.md
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