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Commits on Jul 15, 2022

• Suppress warning that "Mapping types may not work well with tf.nest" when used with ImmutableDict.

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Commits on Jun 10, 2022

• Update RaggedTensorFromVariant to handle output_ragged_rank=0 properly.

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Commits on May 9, 2022

• Fix lint errors in python/olp/ragged/dynamic_ragged_shape.py and python/util/dispatch.py.

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Commits on Apr 27, 2022

• Fix documentation for tf.math.equal and tf.math.not_equal -- it falsely claimed to support SparseTensor inputs.

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Commits on Mar 30, 2022

• Fix bug in tf.matmul(a, b, transpose_b=True) with RaggedTensors when

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Commits on Mar 28, 2022

• Optimize RowPartitionSpec for uniform_row_length.

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Commits on Mar 26, 2022

• Register dispatch handlers for tf.experimental.DynamicRaggedShape:

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Commits on Mar 25, 2022

• Update RaggedTensorToVariant to support ragged_rank=0 when batched_input=true.

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• Register dispatch handlers for tf.experimental.DynamicRaggedShape:

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• Make RowPartition's with_dependencies method private.

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Commits on Mar 23, 2022

• Fix issue where with `RaggedTensor.__repr__`, where `repr(tf.RaggedTensor.from_row_lengths(tf.zeros([9, 0]), [4, 3, 2]))` contained "[]" instead of "[[], [], []]".

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• Make DynamicRaggedShape.with_inner_rank private.

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• Rename RowPartition.with_row_splits_dtype -> RowPartition.with_dtype.

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Commits on Mar 21, 2022

• For RowPartiton: make precomputed encoding methods private; and make static_check method private.

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Commits on Mar 2, 2022

• Update _DirectedInterleaveDataset to validate inputs using element_spec (rather than using legacy methods).

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Commits on Feb 10, 2022

• * In RowPartition's private constructor, check that all encoding tensors have the same dtype.

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• In RaggedTensor._set_shape, use the correct dtype for _nrows.

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Commits on Feb 9, 2022

• Improve error message for tf.debugging.assert_type: show the actual (unexpected) dtype, not just the expected one.

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Commits on Jan 28, 2022

• Make tf.function parameter mutation error more verbose.

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• Improve error message for tf.debugging.assert_type: show the actual (unexpected) dtype, not just the expected one.

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Commits on Jan 26, 2022

• Fix dtype issue in RaggedShapeTest -- default dtype for numpy ints is different on different platforms (int32 vs int64).

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Commits on Jan 21, 2022

• Add RaggedTensor dispatch for tf.debugging.assert_type.

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Commits on Dec 8, 2021

• Fix check-fail when bincount ops are passed invalid values.

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Commits on Oct 27, 2021

• Update symbols_pybind.txt to reflect terminology change Sequence->Nested in nest c++ code.

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• Replace references to ops.IndexedSlices with indexed_slices.IndexedSlices.

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Commits on Oct 25, 2021

• Remove dependency from extension_type_field.py -> ragged_tensor.py.

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Commits on Oct 19, 2021

• Update ConcatenateDataset to not use _to_legacy_output_classes and _to_legacy_output_types.

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• Update Dataset.__repr__ to use element_spec.

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Commits on Oct 12, 2021

• Update docstrings in dispatch.py to use public name for tf.experimental.ExtensionType.

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Commits on Oct 8, 2021

• Add RaggedTensor support to tf.image.resize -- allows resizing a batch of images that have different sizes to all have the same size. For now, this uses `tf.map_fn`, but if this proves to be too s…

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Commits on Oct 7, 2021

• Update targets in tensorflow/python/data to depend on just the ragged_tensor target (rather than the whole ragged package). This helps avoid circular dependencies.

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Commits on Sep 30, 2021

• Fix out-of-bounds memory error in tf.ragged.cross shape inference when it is called with invalid inputs.

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• Fix null pointer exception in shape inference function when tf.ragged.cross() is called with invalid inputs.

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• Improve the documentation for `tf.nest.is_nested`.

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Commits on Sep 24, 2021

• Change formatting of API lists to ensure they get linked properly in the generated documentation HTML (don't include default values for args).

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