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Commits on May 30, 2017

• CNTK v2 library: Add a non-SSE/AVX version of the halide_convolve static library for windows and use that by default to enable the tests to be run on machines without AVX support.

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Commits on May 28, 2017

• CNTK v2 library: Add Binary convolution native user-defined Function library.

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• CNTK v2 library: Fix a bug in propagation of free dimensions originating at user-defined Functions.

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Commits on May 22, 2017

• CNTK v2 library: Remove all deprecated python APIs.

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Commits on May 19, 2017

• CNTK v2 library: Fix a bug in BlockFunction cloning where old dynamic axes information inside the block was being incorrectly retained causing errors when replacing with inputs having different dyn…

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• CNTK v2 library: Add a final V2 graph validation before constructing/compiling the internal ComputationNetwork engine.

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Commits on May 18, 2017

• CNTK v2 library: Update the baseline for E2E test Examples/Text/G2p to

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Commits on May 17, 2017

• CNTK v2 library: Add an advanced LSTM over LSTM example with data truly comprising of multiple sequence axes.

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Commits on May 16, 2017

• CNTK v2 library: Addressed CR feedback.

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• CNTK core: Add an E2E test for the Sequence2Sequence G2P example.

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• CNTK v2 library: Add support for executing eval before grad.

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Commits on May 13, 2017

• CNTK v2 library: Minor error message improvements for UDFs.

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• CNTK v2 library: Fix a few bugs in UDF backprop state management.

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• CNTK v2 library: Enable support for input_variables without dynamic axes.

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• CNTk v2 library: Make inputs and outputs of UDFs non shareable in the CNTK core memroy sharing structure, since they may be externally help on to by the UDF as BackPropState.

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• CNTK v2 library: Remove the unused allowBroadcast parameter in elementwise output shape inference functions.

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Commits on May 7, 2017

• CNTK v2 library: Fixed a bug in shape inference for element operations when eiter of the operands has free static axes.

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• CNTk v2 library: Add support for free static axes in UserDefinedFunctions.

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• CNTK v2 library: Fix handling of scalar loss functions in Trainer.

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Commits on May 6, 2017

• CNTK v2 library: Fix evaluation of Function when a Constant is specified as one of the requested Outputs.

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• CNTK v2 library: Fix a bug in shape inference for Slice, when one or more inputs have InferredDimension along the splice axis.

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Commits on Apr 30, 2017

• CNTK v2 library: Add support for InferredDimension in input variable shapes whose actual dimensionality is determined when the first minibatch data is bound for computation for the Function

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Commits on Apr 29, 2017

• CNTK v2 library: Enable passing dictionary of attributes to native UserFunction factory methods when instantiated from python.

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• CNTK v2 library: Turn off name mangling for the names of the V1 nodes backing the V2 Function graph.

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Commits on Apr 27, 2017

• CNTK v2 library: Fix a bug in handling placeholder inputs for Sequence::Unpack operator.

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Commits on Apr 26, 2017

• CNTK v2 library: Fix a bug in handling of reshaping free static axis.

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• CNTK v2 library: Fix the fragile test_lstm_over_lstm_thought_vectors test by using a fixed seed for parameter initialization to avoid non-determinism due to previously run tests.

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• CNTK v2 library: Further bug fixes for handling rank-0 scalar tensors in the core CNTK V1 engine.

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• CNTK v2 library: Add support for reshaping operands with free static axes.

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Commits on Apr 25, 2017

• CNTK v2 library: Fix handling of scalar reductions

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Commits on Apr 24, 2017

• CNTK v2 library: Repurpose the gap nan tacking V2 flag for a general checked mode that performs additional runtime validation as a debugging aid.

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• CNTK v2 library: Add unit test for sequence.unpack (through sequence.reduce_sum) backprop.

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Commits on Apr 21, 2017

• CNTK v2 library: Add UnpackSequence operator and switch all sequence reductions to use UnpackSequence followed by reduction on teh static axis which is significantly faster compared to performing r…

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• CNTK v2 library: Add dynamic validation capability in core CNTK compute engine.

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• CNTk v2 library: Proper size hints for temporary matrices allocated from matrix pool for UDFs, sequence reduction, Broadcast and ToSequence nodes.

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