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Commits on Jan 13, 2017

• Merge changes from github.

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  Patrick Nguyen

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• More new ops for speeding up input pipline: stage and unstage.

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• Remove tf.mul, tf.neg and tf.sub from the public API

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  aselle

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Commits on Jan 12, 2017

• Losses should support scalar logits/labels.

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• Transpose confusion matrix output to make it consistent with sklearn.

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• Fix bug in shape inference for set operations. It errantly had been setting first dim of output indices and values to first dim of inputs.

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• Fix documentation of rows vs columns of confusion matrix.

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Commits on Jan 11, 2017

• Add optimized reverse kernel for reversing rows of a 3D tensor. This is used in

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• Deprecate tf.neg, tf.mul, tf.sub (and remove math_ops.{neg,mul,sub} usages

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  aselle

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• Switch tf.concat_v2 references in third_party/tensorflow to tf.concat.

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• Automated rollback of change 141622306

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  Vijay Vasudevan

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• Add tf.concat with the new argument order: tf.concat(values, axis, name). Also,

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Commits on Jan 10, 2017

• Remove all remaining tf.pack,tf.unpack references and remove tf.pack/tf.unpack

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• Set up the generated gradient while loops properly so that `None` is propagated when using tf.stop_gradient.

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  yuanbyu

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• Refactor intializer functions as initializer classes. This is purely a refactoring change and does not affect any API.

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  fchollet

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Commits on Jan 9, 2017

• Remove tf.concat(concat_dim, values, name). I will follow up with another cl that will re-add tf.concat, but with the new argument order (values, axis, name).

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• Change reduce_join to treat reduction_indices in the same way as

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• Added TensorArray.identity which returns a TensorArray with the same content and properties but that inherits the control dependencies from the context.

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Commits on Jan 6, 2017

• Benchmark.run_op_benchmark now also stores (memory) allocator maximum usage

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  ebrevdo

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• Add support for gradient calculation for concat_v2 with negative axis to fix github

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• Allow empty tf.Features in the FeatureLists for sparse sequence examples.

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• Small fix for named arguments in SparseFeature parsing.

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• Removes certain ops from docs that should never have been added:

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• Setting losses_test to medium since it times out on Jenkins at times.

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• Removing the constant checking for tf.parallel_stack since it converts

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  zheng-xq

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Commits on Jan 5, 2017

• Change arg order for {softmax,sparse_softmax,sigmoid}_cross_entropy_with_logits to be (labels, predictions), and force use of named args to avoid accidents.

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  martinwicke

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Commits on Jan 4, 2017

• Make Empty Op Stateful.

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• Adds V2 versions of Queue and Reader ops using ResourceHandles.

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• Adds the following new ops:

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• Fix a bug in sparse_softmax_cross_entropy for weights of unspecified shape.

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Commits on Jan 3, 2017

• Restrict weights rank to be the same as the broadcast target, to avoid ambiguity on broadcast rules.

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• Handle non-tensor args for predictions and labels.

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Commits on Dec 31, 2016

• Added more fine-grained shape inference for TensorArray such that partly unknown shapes are supported.

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Commits on Dec 30, 2016

• Remove so many more hourglass imports

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  jart

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Commits on Dec 29, 2016

• Adds V3 version of TensorArray ops. All use resource handles and TensorArrayV3 has a flow output.

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