| 5fe3a9603a81f50d0b374bc26ad34bbd03f3b4c4 |
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09-Feb-2018 |
Derek Murray <mrry@google.com> |
[tf.data] Remove deprecated `tf.contrib.data.Dataset` class.
This change removes the following class:
* `tf.contrib.data.Dataset`.
IF THIS BREAKS YOU: Replace `tf.contrib.data.Dataset` with `tf.data.Dataset`
when constructing a dataset. Note that you may have to modify downstream
transformations to use the core API. See "tensorflow/contrib/data/README.md" for
details of how to update your code to use the core API.
PiperOrigin-RevId: 185197005
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 600c7a5fb8ed91060d3dae07a2fdd655af703244 |
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31-Jan-2018 |
Shivani Agrawal <shivaniagrawal@google.com> |
[tf.data] Native support for `tf.SparseTensor` and serialization tests for the `tf.data` methods that can produce `tf.SparseTensor` elements.
PiperOrigin-RevId: 183909820
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| c17abb0aafab284f3a8470e57e3479db5008fb52 |
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09-Jan-2018 |
Frank Chen <frankchn@google.com> |
Avoid deadlock by sleeping for a longer duration.
PiperOrigin-RevId: 181263637
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 76db97fe3961651617371902a1a623df61f9ed81 |
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20-Dec-2017 |
Brennan Saeta <saeta@google.com> |
Add prefetching into parallel_interleave
This change adds 2 parameters to parallel_interleave:
- prefetch_input_elements: determines the number of iterators to prefetch
allowing buffers to warm up and data to be pre-fetched without blocking
the main thread (i.e. the GetNext() call).
- buffer_output_elements: in order to avoid creating thousands of threads, we
fuse in the .prefetch() operator as an additional parameter. The value of
this parameter is identical to the value passed to `.prefetch()`
PiperOrigin-RevId: 179726088
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 82fa1e1ae5b2f8af642979fafb1cab455db1882f |
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28-Nov-2017 |
Jiri Simsa <jsimsa@google.com> |
Adding support for `tf.SparseTensorValue` and `tf.SparseTensor` as inputs and outputs for
various `tf.data` operations. In particular:
- adding support for `tf.SparseTensorValue` as output type of `tf.data.Dataset.map()`.
- adding support for both `tf.SparseTensor` and `tf.SparseTensorValue` as inputs to `tf.data.from_tensors()`.
- adding support for both `tf.SparseTensor` and `tf.SparseTensorValue` as inputs to `tf.data.from_tensor_slices()`.
PiperOrigin-RevId: 177175439
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 8200bee9e1433a311d7b9e820c09110a88eb6c58 |
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22-Nov-2017 |
Shivani Agrawal <shivaniagrawal@google.com> |
[tf.data] Saveable iteartor for InterleaveDataset.
PiperOrigin-RevId: 176685601
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 92f40bfe3beaf087efbda8412bf129a12bcd9db2 |
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13-Nov-2017 |
Jiri Simsa <jsimsa@google.com> |
Supporting sparse tensors as inputs and outputs for user-defined functions passed into tf.data transformations.
PiperOrigin-RevId: 175559045
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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| 6b05b36cd2c809a1fd581341be51076ab0d05e8e |
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27-Oct-2017 |
Jiri Simsa <jsimsa@google.com> |
Generalizing sloppy_interleave, making sloppiness an option.
PiperOrigin-RevId: 173687797
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/interleave_dataset_op_test.py
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