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Commits on Jun 18, 2019

• [tf.data] Changing the type of performance modeling framework parameters from `int` to `double` to facilitate gradient-based optimizations.

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Commits on Jun 15, 2019

• Adding support for `bytes://` schema as a descriptor source for proto decoding and encoding ops.

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Commits on Jun 13, 2019

• [tf.data] Fixing internal test failures.

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• [tf.data] Switching all core and experimental tf.data transformations that input user-defined functions to using multi-device function backend.

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• [tf.data] Add a check that makes sure that the number of components of the `reduce` transformation output matches the initial state. In the absence of this check, the op kernel could read uninitial…

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Commits on Jun 11, 2019

• [tf.data] Fix support for nested outputs of `tf.data.Dataset.window`.

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• [tf.data] Remove (incorrect) assumption from file cache op kernel that a caller will not call `GetNext` once end of the cache has been reached. For instance, this assumption does not hold for Paral…

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• [tf.data] Adds support for rebatching for `scan` and fixes a bug in how rebatching handles unknown 0-th dimension.

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Commits on Jun 10, 2019

• [tf.data] Adding support for datasets as inputs to `from_tensors` and `from_tensor_slices` and batching and unbatching of nested datasets.

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Commits on Jun 3, 2019

• [tf.data] Update benchmarks to reflect moving the `AUTOTUNE` constant from `optimization` to `dataset_ops`.

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• [tf.data] Delete experimental standalone tf.data C++ API.

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• [tf.data] Modify the rebatching logic to round up the result of dividing the original batch size with the number of workers.

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Commits on May 31, 2019

• [tf.data] Add support for defaulting the value of `cycle_length` argument of `tf.data.Dataset.interleave` to the number of schedulable CPU cores. This facilitates the common case when `interleave` …

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• [tf.data] Support rebatching of non-constant batch sizes. When the number of workers for the rebatching rewrite does not divide the global batch size evenly, the result is rounded down.

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• [tf.data] Implement CompositeTensor interface for `Optional`, which improves compatibility with tf.function and control flow ops.

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Commits on May 29, 2019

• Creating a registry for ops that should be excluded from input resource collocation constraints and making use of it in both graph-mode and eager-mode.

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Commits on May 25, 2019

• [tf.data] Support cancellation of long-running `reduce`.

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Commits on May 24, 2019

• [tf.data] minor cleanup

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• [tf.data] Throw an error when trying to use `tf.data.Dataset.__iter__()` in graph-mode outside of tf.function.

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Commits on May 22, 2019

• [tf.data] Reducing tracing overhead.

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Commits on May 21, 2019

• [tf.data] Reduce verbosity of a possibly spurious warning.

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Commits on May 19, 2019

• [tf.data] Promoting `unbatch` from experimental to core API.

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Commits on May 10, 2019

• [tf.data] Fixing various compiler warnings.

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• [tf.data] Passing information about parallelism and buffer size to tracing module.

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Commits on May 8, 2019

• [tf.data] Add support for `group_by_window` to rebatching rewrite.

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Commits on May 7, 2019

• [tf.data] Avoiding retracing of tf.functions for tf.data.Dataset arguments with matching signatures.

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• [tf.data] Avoid copying the unused variant tensor input to DeleteIteratorOp to GPU, which should prevent spurious error messages.

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Commits on May 6, 2019

• Changing the behavior of `tensor_util.is_tensor(x)` not to return True if `x` is a subclass of CompositeTensro.

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Commits on May 4, 2019

• Renaming `consumers` to `_consumers` in the `CompositeTensor` interface to avoid leaking it into the public API of classes that implement the interface.

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Commits on May 3, 2019

• Automated rollback of commit 432de13094fe60a6324c1e8acabb3e12edb89e82

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Commits on May 2, 2019

• [tf.data] Convert `GraphRewriteDataset` to a utility method as it no longer needs to maintain state after the introduction of `FunctionMetadata` and runtime fixes.

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• [tf.data] Promoting `tf.data.experimental.enumerate_dataset` to core as `tf.data.Dataset.enumerate`.

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• [tf.data] Removing unused non-public experimental transformations (`batching.batch_window` and `batching.padded_batch_window`) and moving `_RebatchDataset` into a different module.

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Commits on May 1, 2019

• Silencing noisy and (likely) spurious executor warning.

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• [tf.data] Explicitly skip brittle `parallel_interleave` tests, re-enabling presubmit for the non-brittle tests.

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