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Commits on Jan 31, 2017

• Merge commit for internal changes

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• Drop now-deleted ops.

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Commits on Jan 30, 2017

• Support partitioned embedding lookup for resource variables.

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  tensorflower-gardener

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• Add colocation constraints to StagingArea.

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• Fix confusing CTC documentation (#5194)

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  al-muammar

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• Adding support for higher rank SparseTensors in sparse_merge.

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• tf.gradients respects jit compiled forward ops and compiles their gradients.

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  ebrevdo

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Commits on Jan 26, 2017

• Call remove_squeezable_dimensions in metrics that take weights but not labels.

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• More transparent assign and friends on resource variables.

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• Add verify_shape argument to Constant initializer

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• Added missing import_scope to external values in control flow.

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  sherrym

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• A fix for a softmax failure when dim is explicitly set to the last dim.

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• Expose ResourceVariable from variable_scope.

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Commits on Jan 25, 2017

• Fix batch_norm_benchmark to only compute moments when Train=True.

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  sguada

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Commits on Jan 24, 2017

• Merge pull request #7043 from gunan/branch_145436800

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  gunan

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• Replace tf.mul by tf.multiply in docs. (#7037)

  

  ppwwyyxx

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  caisq

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• Merge commit for internal changes

  gunan

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• Disallow gradients of complex tensors unless grad_ys is set

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  girving

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• Merge changes from github.

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  caisq

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• slim.learning.train and slim.evaluation.evaluation to handle OutOfRange gracefully (#6028)

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  alsrgv

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Commits on Jan 23, 2017

• replace is_real with is_floating, remove is_real

  yaroslavvb

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Commits on Jan 21, 2017

• Clean up code block in sparse_tensor_dense_matmul

  samjabrahams

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Commits on Jan 20, 2017

• Change image random flip ops, and flip_left_right, to use tf.reverse.

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Commits on Jan 19, 2017

• Merge commit for internal changes

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  caisq

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• Make "Neg" op hidden from Python.

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  aselle

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• 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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Commits on Jan 18, 2017

• Fix warning initialize_all_variables is deprecated

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  bostelk

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Commits on Jan 17, 2017

• Remove overly restrictive check on gradient types. (#6868)

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  yaroslavvb

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• Add a new lightweight queue-like object - RecordInput

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• Make dtype consistent with docs for TP/TN/FP/FN ops.

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• Setting the default axis to 0 for argmax and argmin

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  Manjunath Kudlur

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

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• Merge changes from github.

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  Patrick Nguyen

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• Add a micro-benchmark for the resize_bilinear_op to the image_ops_test.

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  saeta

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• Merge commit for internal changes

  

  Patrick Nguyen

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