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Created with Raphaël 2.2.013Oct1211108764130Sep292827242322212019171613121098731Aug30272320191716131210965426Jul23151312653230Jun282524232117151410987543130May28262520181716141110987653130Apr2927232221201918151412109826Mar25242317543226Feb242322181211108764131Jan29262120171517Dec161413983124Nov231996530Oct282726222120191514131211109876529Sep272625242321201817161514121110[Refactor] switch to CustomOp base-class impl for shape inf[Deps] update finn-baseMerge branch 'dev' into feature/faster_shape_inf[Deps] update finn-baseMerge pull request #390 from Xilinx/feature/fixed_point_datatype[Notebook] clear outputs for 1_brevitas_network_import.ipynbExtended analysis pass for test_QONNX_to_FINN to look for left over BinaryQuant nodes.Raised default for max_multithreshold_bit_width from 4 to 8, due to missing quantization for 8-bit input test networks (CNV and mobilenet).Added support for filtering which Quant nodes to convert to MultiThreshold nodes.[Notebook] update notebooks with DataType.X -> DataType["X"][Deps] update finn-base[Deps] update to latest finn-baseHandle the out_dtype attribute of MultiThreshold nodes more appropriately.[Test] add float32 case to test_npy2apintstream[Deps] update finn-baseSplit convert_qonnx_to_finn.py file into multiple.Renamed QONNX to FINN verification step to QONNX_TO_FINN_PYTHON.Made QONNX to FINN a default build step, changed verification step name and made running of conversion conditional on the existence of quant nodes.Install finn-base with commit from qonnx-branch + install qonnx w/o deps.[CustomOp] fix dtype name in Thresholding op msgSmall updates to QuantActBaseHandler documentation.[Refactor] use RandomNormal for faster/more compact shape inference[Deps] update finn-base to get faster shape inference base ops[Refactor] use get_accumulator_dt_cands as part of DataType rf.[Deps] update finn-baseAdded support for moving scalar ops, which are not flat.[Pack, Test] fix npy<>stream packing for fixed pt, add test[Refactor] Datatype.X -> DataType["X"][Deps] update finn-base to get refactored dtypes+fixed-pointSmall refactoring for QONNX activation handlers.Add optional support for QONNX ingestion in the dataflow builder.Update qonnx commit.[Test] update expected artifacts in test_build_dataflow_directory[Build] add cfg option to spec rtlsim perf batch size[Build] save autogenerated folding config to .jsonAdded mobilenet to test_QONNX_to_FINN test.Correct for fp accuracy issues during Quant constant folding.Added support for converting Gemm to MatMul.Updated QONNX commit.Catch unsupported constant folding for SCALED datatypes.