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diff --git a/docs/release/1.21/release-note_1.21.0.md b/docs/release/1.21/release-note_1.21.0.md new file mode 100644 index 000000000..49bf074b6 --- /dev/null +++ b/docs/release/1.21/release-note_1.21.0.md @@ -0,0 +1,35 @@ +# Release Note 1.21.0 + +## ONE Compiler + +- Support unrolling of LSTM and RNN Ops in `one-import-onnx` tool +- Introduced new tools `one-infer`, `circle-operator`, `circle-interpreter` +- Introduced `Workflow`(WIP) in `one-cmds` +- New option `quant_config` in `one-quantize` +- New option `fake_quantize` in `one-quantize` +- More Ops supported: Densify +- More Ops for quantization: ReduceMax +- More Ops for mixed-precision quantization (MPQ): LeakyRelu, Neg, Relu6, Squeeze +- More Ops for `convert_nchw_to_nhwc` option: LogSoftmax, ReduceMax, SplitV, Softmax +- New optimization options in `one-optimize`: `replace_non_const_fc_with_bmm`, `resolve_customop_splitv`, `fold_densify` +- Improved reshape elimination in `convert_nchw_to_nhwc` option. +- Support fusion of Channel-wise Add + Relu with TConv +- Support negative axis in ArgMin/Max +- Show errors for unrecognized options in `one-optimize` +- Fix shape inference for `StridedSlice` +- Fix FuseBatchNormWithTConvPass to support TConv with bias +- Deprecate `--O1` option in `circle2circle` +- Support gcc-11 +- Support limited Float16 for kernels constants with dequantization to Float32 + +## ONE Runtime + +### Basic Multimodel nnpackage +- Runtime supports to run nnpackage with two models + +### Channel Wise Quantization on Conv2D and Depthwise Conv2D +- Conv2D and Depthwise Conv2D supports per-channel quantization of uint8 type. + +### Batch Execution with TRIX backend +- TRIX backend supports batch execution which run in parallel with multicore + |