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RELEASE.md

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Changes since last release

Breaking changes to the API

  • AdjustContrast kernel deprecated, new kernel AdjustContrastv2 takes and outputs float only. adjust_contrast now takes all data types.
  • adjust_brightness's delta argument is now always assumed to be in [0,1] (as is the norm for images in floating point formats), independent of the data type of the input image.
  • The image processing ops do not take min and max inputs any more, casting safety is handled by saturate_cast, which makes sure over- and underflows are handled before casting to data types with smaller ranges.
  • For C++ API users: IsLegacyScalar and IsLegacyVector are now gone from TensorShapeUtils since TensorFlow is scalar strict within Google (for example, the shape argument to tf.reshape can't be a scalar anymore). The open source release was already scalar strict, so outside Google IsScalar and IsVector are exact replacements.
  • The following files are being removed from tensorflow/core/public/:
    • env.h -> ../platform/env.h
    • status.h -> ../lib/core/status.h
    • tensor.h -> ../framework/tensor.h
    • tensor_shape.h -> ../framework/tensor_shape.h
    • partial_tensor_shape.h -> ../framework/partial_tensor_shape.h
    • tensorflow_server.h deleted
  • For C++ API users: TensorShape::ShortDebugString has been renamed to DebugString, and the previous DebugString behavior is gone (it was needlessly verbose and produced a confusing empty string for scalars).
  • GraphOptions.skip_common_subexpression_elimination has been removed. All graph optimizer options are now specified via GraphOptions.OptimizerOptions.
  • ASSERT_OK / EXPECT_OK macros conflicted with external projects, so they were renamed TF_ASSERT_OK, TF_EXPECT_OK. The existing macros are currently maintained for short-term compatibility but will be removed.
  • The non-public nn.rnn and the various nn.seq2seq methods now return just the final state instead of the list of all states.
  • tf.image.random_crop(image, [height, width]) is now tf.random_crop(image, [height, width, depth]), and tf.random_crop works for any rank (not just 3-D images). The C++ RandomCrop op has been replaced with pure Python.

Bug fixes

  • The Python API will now properly set the list member of AttrValue in constructed GraphDef messages for empty lists. The serialization of some graphs will change, but the change is both forwards and backwards compatible. It will break tests that compare a generated GraphDef to a golden serialized GraphDef.

Release 0.6.0

Major Features and Improvements

  • Python 3.3+ support via changes to python codebase and ability to specify python version via ./configure.

  • Some improvements to GPU performance and memory usage: convnet benchmarks roughly equivalent with native cudnn v2 performance. Improvements mostly due to moving to 32-bit indices, faster shuffling kernels. More improvements to come in later releases.

Bug fixes

  • Lots of fixes to documentation and tutorials, many contributed by the public.

  • 271 closed issues on github issues.

Backwards-incompatible changes

  • tf.nn.fixed_unigram_candidate_sampler changed its default 'distortion' attribute from 0.0 to 1.0. This was a bug in the original release that is now fixed.

Release 0.5.0

Initial release of TensorFlow.