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Diffstat (limited to 'RELEASE.md')
| -rw-r--r-- | RELEASE.md | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/RELEASE.md b/RELEASE.md index da297b2e86..ffe38004a2 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -9,6 +9,7 @@ * `DNNLinearCombinedClassifier` * `DNNLinearCombinedRegressor`. * All our prebuilt binaries have been built with cuDNN 6. +* `import tensorflow` now goes much faster. * Adds a file cache to the GCS filesystem with configurable max staleness for file contents. This permits caching of file contents across close/open boundaries. * Added an axis parameter to `tf.gather`. * Added a `constant_values` keyword argument to `tf.pad`. @@ -31,6 +32,7 @@ * GPU kernels and speed improvements for for unary `tf.where` and `tf.nn.top_k`. * Monotonic Attention wrappers added to `tf.contrib.seq2seq`. * Added `tf.contrib.signal`, a library for signal processing primitives. +* Added `tf.contrib.resampler`, containing CPU and GPU ops for differentiable resampling of images. ## Breaking Changes to the API * `tf.RewriterConfig` was removed from the Python API after being available in 1.2 release candidates (it was never in an actual release). Graph rewriting is still available, just not as `tf.RewriterConfig`. Instead add an explicit import. @@ -64,7 +66,7 @@ * Exported model signatures using the 'predict' method will no longer have their input and output keys silently ignored and rewritten to 'inputs' and 'outputs'. If a model was exported with different names before 1.2, and is now served with tensorflow/serving, it will accept requests using 'inputs' and 'outputs'. Starting at 1.2, such a model will accept the keys specified during export. Therefore, inference requests using 'inputs' and 'outputs' may start to fail. To fix this, either update any inference clients to send requests with the actual input and output keys used by the trainer code, or conversely, update the trainer code to name the input and output Tensors 'inputs' and 'outputs', respectively. Signatures using the 'classify' and 'regress' methods are not affected by this change; they will continue to standardize their input and output keys as before. * Add in-memory caching to the Dataset API. * Set default end_of_sequence variable in datasets iterators to false. -* [Performance] Increase performance of `tf.layers.con2d` when setting use_bias=True by 2x by using nn.bias_add. +* [Performance] Increase performance of `tf.layers.conv2d` when setting use_bias=True by 2x by using nn.bias_add. * Update iOS examples to use CocoaPods, and moved to tensorflow/examples/ios. * Adds a family= attribute in `tf.summary` ops to allow controlling the tab name used in Tensorboard for organizing summaries. * When GPU is configured, do not require --config=cuda, instead, automatically build for GPU if this is requested in the configure script. |