TensorFlow 1.9.0版本更新
阿新 • • 發佈：2019-02-10
- Add GCS Configuration Ops.
- Changing signature of
MakeIteratorto enable propagating error status. - KL divergence for two Dirichlet distributions.
- More consistent GcsFileSystem behavior for certain reads past EOF.
- Update benchmark for tf.scan to match ranges across eager and graph modes.
- Fixed bug in
tf.reduce_prod gradientfor complex dtypes. - Allow the use of ‘.’ in variables (e.g. “hparams.parse(‘a.b=1.0’)”), which would previously raise an error. This will correspond to an attribute name with an embedded ‘.’ symbol (e.g. ‘a.b’), which can only be accessed indirectly (e.g. through getattr and setattr). To set this up the user will first need to explicitly add the variable to the hparam object (e.g. “hparams.add_hparam(name=’a.b’, value=0.0)”).
- Benchmark for tf.scan in graph and eager modes.
- Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D.
- Making ids unique in
nn.embedding_lookup_sparse. This helps to reduce RPC calls for looking up the embeddings when there are repeated ids in the batch. - Support indicator column in boosted trees.
- Prevent
tf.gradients()from backpropagating through integer tensors. - LinearOperator[1D,2D,3D]Circulant added to
tensorflow.linalg. - Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports arbitrary.
- Added
tf.train.Checkpointfor reading/writing object-based checkpoints. - Added LinearOperatorKronecker, a dense-free implementation of the Kronecker Product.
- Allow LinearOperator to broadcast.
- SavedModelBuilder will now deduplicate asset names that point to files with the same basename and the same contents. Note that this may result in new asset files included in SavedModels in cases where assets with the same name but different contents were previously overwriting each other.