Merge branch 'master' into liqun/onnx17Stage2

Documentation/current_iteration.md

@@ -13,9 +13,25 @@
 - ``gather`` operation now supports an axis argument
 - ``squeeze`` and ``expand_dims`` operations for easily removing and adding singleton axes
 - ``zeros_like`` and ``ones_like`` operations. In many situations you can just rely on CNTK correctly broadcasting a simple 0 or 1 but sometimes you need the actual tensor.
+- ``depth_to_space``: Rearranges elements in the input tensor from the depth dimension into spatial blocks. Typical use of this operation is for implementing sub-pixel convolution for some image super-resolution models.
+- ``space_to_depth``: Rearranges elements in the input tensor from the spatial dimensions to the depth dimension. It is largely the inverse of DepthToSpace.
 
 ## ONNX
-- Improved ONNX support in CNTK.
-- Update ONNX to the latest ONNX from https://github.com/onnx/onnx
-- Fixed several bugs.
+There have been several improvements to ONNX support in CNTK.
+
+### Updates
+- Updated ONNX ``Reshape`` op to handle ``InferredDimension``.
+- Adding ``producer_name`` and ``producer_version`` fields to ONNX models.
+- Handling the case when neither ``auto_pad`` nor ``pads`` atrribute is specified in ONNX ``Conv`` op.
+
+### Bug fixes
+- Fixed bug in ONNX ``Pooling`` op serialization
+- Bug fix to create ONNX ``InputVariable`` with only one batch axis.
+- Bug fixes and updates to implementation of ONNX ``Transpose`` op to match updated spec.
+- Bug fixes and updates to implementation of ONNX ``Conv``, ``ConvTranspose``, and ``Pooling`` ops to match updated spec.
+
+## Operators
+### Group convolution
+- Fixed bug in group convolution. Output of CNTK ``Convolution`` op will change for groups > 1. More optimized implementation of group convolution is expected in the next release.
+- Better error reporting for group convolution in ``Convolution`` layer.