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Created with Raphaël 2.2.022Sep21201918171514131211109764331Aug2928272524232221201918171615141311109865432131Jul302927262524232221201918171615141312111098765432130Jun2827262524232221201917151413121110876543131May3029[NNVM]Keras SimpleRnn and GRU support (#1729)Heterogeneous Runtime (#1695)[RELAY] IR Wellform Checker (#1748)[TVM] Fix operator!= for Tensor (#1753)Fix Softmax in onnx frontend (#1642)[NODE][RELAY] Move most of the reference related code to node (#1747)[TEAM] siju-samuel -> Reviewer (#1745)[TEAM] jroesch -> Reviewer (#1746)[TEST][KERAS] convert tvm output to channels_last format (#1733)[CI] always rebuild sphinx-gallery docs from scratch (#1742)[FRONTEND][TENSORFLOW] GPU support for tensorflow models. (#1718)[NODE] Node base system refactor (#1739)[RUNTIME] Improve memory usage for RPC (#1741)[High level OPT][RFC] NNVMv2 IR - Relay (#1672)[NNVM] Recover reduction behavir, fix CI (#1740)[TOPI] Fix reduce behavior to be consistent to numpy (#1738)Fix VTA Tutorial for more strict graphrt check (#1737)[SUBMODULE] update submodule to latest (#1728)[COMPILER][BUG] Fix out of bound access. (#1723)[NNVM][KERAS]LSTMCell support (#1686)[CODEGEN] Fix let expression (#1727)[NNVM][TOPI] Add mean and product operators (#1628)[Keras] fix weight shape in dilated conv (#1715)[NODE] Enable EnvFunc to serialize global function as node (#1721)Allow inplace memory optimization for different data type (#1696)[RUNTIME] Support TVMContext (#1720)[FRONTEND][TENSORFLOW] Helper function to add shapes into the graph. Use tmp folder for model files and clean it. (#1697)Add demo_android Dockerfile (#1646)[TOPI] Add dp4a intrinsic to CUDA (#1707)[NNVM][KERAS] Fix keras model converter and improve tutorial (#1716)[NNVM]Tensorflow and Onnx basic ops (#1666)intel graphics conv2d schedule fixed for input shapes (300*300) and (512 * 512) (#1709)Fix comment of binary op 'elemwise_div' (#1712)avoid flaky testing errors in test_topi_sparse (#1706)Bugfix #1692. Constant folding and result comparision allowance. (#1708)Added a helper function that dumps Node to stderr (#1703)[TEAM] were -> Reviewer (#1705)[RUNTIME][API] Graph runtime API enahncement to support NDArray (#1659)[Tutorial] fix the link thing for the pass tutorial (#1700)[TEST][Keras] use pretrained model to avoid small error caused by random weights (#1701)