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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).
## 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](https://github.com/soumith/convnet-benchmarks/issues/66)
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.
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