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Commits on May 13, 2016

• Deleted accidentally repeated code (tensorflow#2279)

  

  terrytangyuan

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  ilblackdragon

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• Update os_setup.md (tensorflow#2257)

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  hephaex

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Commits on May 12, 2016

• Merge pull request tensorflow#2341 from vrv/branch_122166601

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  Vijay Vasudevan

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• Merge commit for internal changes

  

  Vijay Vasudevan

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• Fixed compilation warning

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  benoitsteiner

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• Rename ClientGraph to SimpleClientGraph.

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  A. Unique TensorFlower

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• Split nn_test into more manageable pieces.

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  martinwicke

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• Fix graph_actions.train() to avoid ignoring exceptions.

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• Fixes and enhancements for contrib/tensorforest:

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• File system implementation for Google Cloud Storage.

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• Merge pull request tensorflow#2274 from terrytangyuan/hdf5

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  petewarden

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• Fix a bug in shape inference of while loop.

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  yuanbyu

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• Add --inspect to tensorboard to inspect event files in a human readable way.

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  cssndrx

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Commits on May 11, 2016

• complex64 is a tensorflow type and so the unnamespaced name doesn't work for compiling.

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• Add fp16 cuDNN convolution support to StreamExecutor. (TensorFlow ops will

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• Autogenerated Change: Release TensorBoard at TAG: 18

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  teamdandelion

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• Adds tests for unknown shape in bitcast

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  itsmeolivia

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• Bayesflow: ensure Gaussian assertion of sigma positivity is executed; add test.

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• Remove legacy shims for device.from_string and device.Device

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  rryan

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• Update generated Python Op docs.

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• Scalar chart: Always draw a point on the last datum, so that series with only one datum are visible.

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  teamdandelion

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• Add scalar summary for every evaluation tensor in graph_actions.evaluate.

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  ilblackdragon

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• API Doc: Moved the usual termination code into a finally block (tensorflow#2221)

  

  qbx2

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  Vijay Vasudevan

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• Add fp16 matrix multiplication (GEMM) support to StreamExecutor, gated on

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• Add the autotune version for the backward passes. It is currently

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  zheng-xq

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• Move tensorboard parallel proto interface definitions to a separate proto.ts file with

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• rnn_cell.linear and models.rnn are going away.

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  ebrevdo

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• Update generated Python Op docs.

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• Expose Supervisor's init_fn parameter through tf.learn's graph_actions.train function. This allows user to perform actions such as warm start (which may require tf.learn's internal session object f…

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• Allocate sparse_values_tmp according to the size of var_len_features.

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• Update generated Python Op docs.

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• Support more dynamic shapes in tf.boolean_mask.

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• Fixes bug where dense_shape was dropped from IndexedSlices when clipping gradients.

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• Better error message.

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  yuanbyu

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• In SplitOp GPU, avoid memcpying the pointers to the device if the number of

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