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author이춘석/On-Device Lab(SR)/Staff Engineer/삼성전자 <chunseok.lee@samsung.com>2020-01-17 08:21:03 (GMT)
committerChunseok Lee <chunseok.lee@samsung.com>2020-02-03 08:19:53 (GMT)
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treed7963dbe235a666b4e6fac05d4a294a922cbebf4
parentc7be1c4664f92f28c1802077d3c48938c3b006de (diff)
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* Release Note 1.1.0 - Release Note for NNAS 1.1.0 Signed-off-by: Chunseok Lee <chunseok.lee@samsung.com> * apply comment Change-Id: I489330cbf3046bfdcd04be647c44a7f4e664d633 Signed-off-by: Chunseok Lee <chunseok.lee@samsung.com>
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+# NNAS 1.1.0 Release Note
+
+## Feature Highlights
+
+- `nncc`
+ - Available for Tizen Studio in Windows
+ - Available for Visual Studio in Windows
+- `nnfw`
+ - Interpreter supports more operations
+ - CPU Arithmetic kernels support broadcasing
+ - Fully Connected Operation supports hybrid quantization
+
+
+## nncc
+
+### Available for Tizen Studio in Windows
+We now support `nncc` in Tizen Studio as plugin. For detailed information and simple tutorial, please refer to [NNCC Installation Guide for Tizen Studio](../nncc/v1.1.0/nncc_in_tizen_studio).
+
+#### Known Issues
+- Output directory of nnpackage is fixed to `res/shared`.
+
+### Available for Visual Studio in Windows
+We now support `nncc` in Visual Studio as Tizen extension program. For detailed information and simple tutorial, please refer to [NNCC Installation Guide for Visual Studio](../nncc/v1.1.0/nncc_in_visual_studio).
+
+#### Known Issues
+- `nncc` in Visual Studio extension program only accepts `model.pb` and `model.info` in `model` folder.
+ - If user want to create nnpackage using `model2.pb` and `model2.info`, user should change the names as `model.pb` and `model.info` first.
+- Output directory of nnpackage is fixed to `res/shared/model`.
+
+## nnfw
+
+ ### The following operations are supported on Interpreter :
+ - Activation : Relu, Relu1, Relu6, Tanh
+ - Logistics
+ - Gather
+ - Instance Normalization
+ - Transpose Convolution
+ ### CPU Arithmetic kernels support broadcasing
+ ### Fully Connected Operation supports hybrid quantization
+ Note that this support is only for acl_neon backend. See [hybrid quatization document](https://www.tensorflow.org/lite/performance/post_training_quantization#weight_quantization) for more about hybrid quantization. \ No newline at end of file