1 files changed, 47 insertions, 0 deletions
diff --git a/infra/debian/compiler/changelog b/infra/debian/compiler/changelog
index 2763ac55b..ddca70a17 100644
--- a/infra/debian/compiler/changelog
+++ b/infra/debian/compiler/changelog
@@ -1,3 +1,50 @@
+one (1.21.0) bionic; urgency=medium
+
+  * 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
+
+ -- seongwoo <mhs4670go@naver.com>  Wed, 06 Sep 2022 12:00:00 +0900
+
+one (1.20.0) bionic; urgency=medium
+
+  * luci-interpreter supports multiple kernels with PAL layer including Cortext-M
+  * luci-interpreter supports integer tensor for partly kernels
+  * luci import support constant without coping to reduce memory for luci-interpreter
+  * Reduce duplicate codes to package released modules
+  * Limited support for ONNX LSTM/RNN unrolling while importing
+  * Limited support for ARM32 cross build
+  * Support new operator: SVDF
+  * New virtual CircleVariable to support tensor with variable
+  * Support quantization of BatchMatMul Op
+  * Support mixed(UINT8 + INT16) quantization
+  * Support backward propagation of quantization parameters
+  * Upgrade default python to version 3.8
+  * Support TensorFlow 2.8.0, ONNX-TF 1.10.0, ONNX 1.11.0
+  * Upgrade circle schema to follow tflite schema v3b
+  * Refactor to mio-tflite280, mio-circle04 with version and helpers methods
+  * Use one flatbuffers 2.0 version
+  * Drop support for TensorFlow 1.x
+  * Fix for several bugs, performance enhancements, and typos
+
+ -- seongwoo <mhs4670go@naver.com>  Tue, 26 Apr 2022 12:00:00 +0900
+
 one (1.19.0) bionic; urgency=medium
 
   * `circle-quantizer` supports input/output type option