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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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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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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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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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Commits on Sep 29, 2016

• Merge changes from github.

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  Jonathan Hseu

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• Add syntax highlighting and fix some lists in docs.

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  Patrick Nguyen

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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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• Move contrib/quantization ops to tensorflow/core

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  andrewharp

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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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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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Commits on Sep 10, 2016

• Merge changes from github.

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  Dan Mané

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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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• Delegate to C++ shape inference function for some conv and pooling functions.

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Commits on Sep 2, 2016

• Fuse resize and mirror padding ops into convolutions

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  petewarden

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Commits on Aug 31, 2016

• Delegate to C++ shape functions for linalg ops and several nn_ops.

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Commits on Aug 30, 2016

• Adds fractional_max_pool and fractional_avg_pool ops. Fixes #2953.

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Commits on Aug 28, 2016

• Extend softmax and logsoftmax to make them work on an arbitrary dimension of a non-scalar tensor.

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  Yuefeng Zhou

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Commits on Aug 26, 2016

• Merge changes from github.

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Commits on Aug 24, 2016

• Implement the Concatenated ReLU (CReLu) non-linearity. This non-linearity makes it possible to reduce the depth of lower layers in a convolution tower by a factor of two at no cost in accuracy. See…

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  vincentvanhoucke

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Commits on Aug 22, 2016

• Make dropout avoid work if keep_prob == 1

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Commits on Aug 12, 2016

• Merge changes from github.

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  benoitsteiner

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Commits on Aug 9, 2016

• Deprecate op_scope by extending name_scope and move all callers to the new name_scope.

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  Lukasz Kaiser

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