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Commits on Jan 20, 2017

• Change weight broadcasting for losses.sparse_softmax_cross_entropy to be the same as sparse_softmax_cross_entropy_with_logits. This means allowing greater than rank 2 inputs.

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  tensorflower-gardener

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  gunan

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Commits on Jan 11, 2017

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

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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 Dec 20, 2016

• Rename usages of tf.mul, tf.neg, tf.sub that are used internally

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  aselle

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Commits on Dec 15, 2016

• Switch array_ops.pack/unpack to array_ops.stack/unstack. Also switch a few remaining references to tf.pack/unpack to tf.stack/unstack.

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Commits on Dec 9, 2016

• Fix Args in sparse_softmax_cross_entropy_with_logits for doc generation.

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Commits on Dec 7, 2016

• Remove remaining uses of tf.reverse() and remove tf.reverse()

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  aselle

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  tensorflower-gardener

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• Switch all tf.concat(concat_dim, value, name) calls in third_party/tensorflow to tf.concat_v2(value, axis, name).

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Commits on Dec 1, 2016

• Implement tf.nn.atrous_conv2d_transpose. Close bugs #4668 and #5300.

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Commits on Nov 29, 2016

• Fix C++ shape function for Concat with concat_dim=-1.

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Commits on Nov 19, 2016

• Automated rollback of change 139400135

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  Jonathan Hseu

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Commits on Nov 17, 2016

• Rename `Tensor` to `Output` in all Python docs

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  Jonathan Hseu

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  tensorflower-gardener

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Commits on Nov 15, 2016

• In call_cpp_shape_fn, use whether the shape inference fn requested input tensor

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• Remove unneeded call_cpp_shape_fn call, since it is now the default.

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  Vijay Vasudevan

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Commits on Nov 14, 2016

• Make the python default for shape fn be call_cpp_shape_fn.

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Commits on Nov 11, 2016

• Switch FusedConvPad to use C++ shape function.

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  Vijay Vasudevan

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  tensorflower-gardener

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Commits on Nov 1, 2016

• Remove weight_parameters from OpStats and graph_metrics.

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Commits on Oct 28, 2016

• Merge changes from github.

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  zheng-xq

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Commits on Oct 20, 2016

• Merge changes from github.

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  Patrick Nguyen

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Commits on Oct 19, 2016

• Add data_format support for N-D convolution and pooling.

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Commits on Oct 18, 2016

• Fix tf.nn.log_softmax documentation. (Missing `log` in normalization.)

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Commits on Oct 17, 2016

• Move contrib/quantization ops to tensorflow/core

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  andrewharp

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Commits on Sep 29, 2016

• Merge changes from github.

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  Jonathan Hseu

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  tensorflower-gardener

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• Add syntax highlighting and fix some lists in docs.

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  Patrick Nguyen

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  tensorflower-gardener

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• Add generic Python interface for convolution and pooling

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Commits on Sep 28, 2016

• Automated rollback of change 134501895

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  tensorflower-gardener

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• Move contrib/quantization ops to tensorflow/core

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  andrewharp

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  tensorflower-gardener

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• Add a fused batch normalization op, supporting both cuDNN and an Eigen-based

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  Yao Zhang

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Commits on Sep 21, 2016

• Sparse cross entropy loss now raises an error on invalid labels when on CPU.

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  ebrevdo

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  tensorflower-gardener

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Commits on Sep 17, 2016

• Two tiny TF documentation fixes:

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Commits on Sep 16, 2016

• Convert the labels passed to the softmax cross entropy function as needed to

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  benoitsteiner

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Commits on Sep 10, 2016

• Merge changes from github.

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  Dan Mané

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  tensorflower-gardener

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Commits on Sep 9, 2016

• Switch fractional avg+max pool shape fns to use C++ shape fns. Add those C++

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Commits on Sep 8, 2016

• Switch nn_ops shape fns to delegate to C++, for all that have a C++

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Commits on Sep 7, 2016

• Extent softmax_cross_entroy_with_logits to work on a arbitrary dimension.

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  Yuefeng Zhou

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  tensorflower-gardener

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