Toolchain Docker History
Manual History Version
- v0.20.2
- v0.20.1
- v0.20.0
- v0.19.0
- v0.18.2
- v0.17.2
- v0.16.0
- v0.15.5
- v0.14.2
- v0.13.1
- 520 v0.12.1
- 720 v0.12.1
- 520 v0.11.0
- 720 v0.11.0
- 520 v0.10.0
- 720 v0.10.0
- 520 v0.9.0
- 720 v0.9.0
- v0.7.0
Toolchain Change log
- [v0.25.0]
- IP evaluator add arguments
weight_bandwidth
anddma_bandwidth
. - 730 toolchain full upgrade.
- Optimize batch compiler efficiency.
- Optimize batch compiler memory management algorithm.
- Support fmap over 4D.
- Support more operators (Abs, Log, Pow, Sign).
- Support mix accuracy mode.
- Update environment packages.
- Fix bugs.
- IP evaluator add arguments
- [v0.24.0]
ktc.ModelConfig.analysis
rename 'fm_cut' to 'compiler_tiling'.ktc.ModelConfig.analysis
changedatapath_bitwidth_mode
andweight_bitwidth_mode
to support mix-bitwidth mode "mix light" and "mix balance". (exclude 520).- Support ONNX opset 18.
- Optimize customized node support.
- Support multiple output operators.
- Support per-channel quantization
- WebGUI Auto-detect model input node information, make convert onnx or tflite to nef more easier.
- Docker update the parallel package version.
- Fix known bugs and improve performance.
- [v0.23.1]
- Compiler may raise error on unsupported CPU nodes.
- Bug fixes for compiler, dynasty and ktc.
- [v0.23.0]
ktc.kneron_inference
now requiresinput_names
which is optional previously.ktc.ModelConfig.evaluate()
now only generate html report instead of the previous txt report.bie
format update for better supporting new models. Due to this update, the previous generatedbie
files are no longer supported.- Batch compiler now support 730 hardware.
- Provide more information in IP evaluator report.
- Optimize the quantization snr calculation.
- Optimize the compiler for better on-chip performance.
- Supporting latest models with loop node inside.
- Bug fixes and other improvements.
- [v0.22.0]
ktc.ModelConfig.evaluate
- Change function parameter
output_folder
tooutput_dir
. - Change default output location to
/data1/kneronflow
. ktc.ModelConfig.analysis
- Change function parameter
output_bie
tooutput_dir
, which should be a folder path instead of the file path before. Defaults to/data1/kneronflow
. - Remove deprecated parameters
bitwidth_mode
,outlier
andskip_verify
. - Add parameters
model_in_bitwidth_mode
,model_out_bitwidth_mode
,datapath_bitwidth_mode
andweight_bitwidth_mode
. ktc.ModelConfig
- Add
radix_json_path
toktc.ModelConfig.__init__
which providesktc.compile
ability to compile with onnx and a special json file. Defaults toNone
. - Add
debug
toktc.ModelConfig.__init__
to avoid removing debug output files. Defaults toFalse
. ktc.compile
,ktc.encrpyt_compile
- Change default output location to
/data1/kneronflow
. - Add
debug
parameter to avoid removing debug output files. Defaults toFalse
. - Provided a function
ktc.convert_channel_last_to_first
to help converting channel last inputs to channel first(image only). - Remove unessential output files. Some functions add
debug
parameters to avoid removing debug output files.ktc.kneron_inference
can usedump
parameter avoid removing debug output files. - Bug fixes and performance improvements.
- [v0.21.0]
- Change input format from channel last to the same input shape of ONNX.
- Change compiler generated
ioinfo.csv
intoioinfo.json
for platforms other than 520. - Remove deprecated command line scripts, e.g. fpAnalyserCompilerIpevaluator_520.py, fpAnalyserBatchCompile_520.py.
- Add html report for
analysis
API. - Add helper utilities under compiler folder.
- Add
parallel
andw3m
into docker environment. - Bug fixes.
- Documentation updates.
- [v0.20.2]
- Fix combining nef error.
- [v0.20.1]
- Update toolchain example to MobileNet v2.
- Fix knerex bias adjustment.
- Fix knerex shared weight with same name support.
- Fix other bugs.
- [v0.20.0]
- Support text procssing models.
- Set flatbuffer as the default 720 compiling mode.
- Refactor compiler and analyser inner structure.
- Due to the structure change, batch compiler do not backwark support previous bie files.
- Refactor toolchain manual.
- Bug fixes.
- [v0.19.0]
- Add 730 hardware support.
- Minor bug fixes.
- [v0.18.2]
- ktc: Add
mode
,optimize
,export_dynasty_dump
argument to analysis. - ktc: Set
skip_verify
in analysis as deprecated. - regression: Add optimize option for optimization level selection.
- regression: Fix interface to asure platform is integer.
- converter: Add 720 batch process with
--opt-720
flag. - converter: Add enable shared weight duplication flag
-d
. By default, shared weights are no longer duplicated. - converter: Remove
-s
flag since it is now the default behavious. - converter: Optimize debug output.
- compiler: Fix RDMA not correctly executed.
- E2E simulator: Change dynasty library fetching method.
- Minor bug fixes.
- ktc: Add
- [v0.18.1]
- docker: Update numpy from 1.18.5 to 1.21.
- ktc: Add
km_cut
argument to analysis. - converter: Add operator checking before optimizaiton.
- E2E simulator: Change dynasty library fetching method.
- Minor bug fixes.
- [v0.18.0]
- ONNX is updated to 1.7.0.
- Introduce WebGUI.
- Adjust 720 and 530 IP Evaluator default hardware specification.
- Add more analysis options.
- [v0.17.0]
- Optimize analysis API. Now we verify the model while analysing the fixed point performance.
- E2E simulator no longer requires
radix
parameter.
- [v0.16.0]
- Introduce 530 toolchain.
- Optimizer supports pixel modification for wider input range adjustment.
- FP analysis supports
mmse
mode. - Compiler supports
hardware_cut_opt
option. - Compiler supports combining nef files.
- [v0.15.0]
- Document now is written for Python API. The original script document can be found in Command Line Script Tools.
- Compiler now support weight compress option.
- [v0.14.0]
- ONNX is updated to 1.6.0
- Pytorch is updated to 1.7.1
- Introduce toolchain Python API.
- [v0.13.0]
- 520 toolchain and 720 toolchain now is combined into one. But the scripts names and paths are the same as before. You don't need to learn it again.
- E2E simulator has been updated to a new version. Usage changed. Please check its document.
- [v0.12.0] Introduce
convert_model.py
which simplify the conversion process. - [v0.11.0] Batch compile now generate
.nef
files to simplify the output. - [v0.10.0]
input_params.json
andbatch_input_params.json
have been simplified a lot. Please check the document for details.simulator.sh
,emulator.sh
and draw yolo image scripts are no longer available from/workspace/scripts
. They have been moved to E2E simulator. Please check its document.
- [v0.9.0] In the example, the mount folder
/docker_mount
is separated from the interactive folder/data1
to avoid unexpected file changes. Users need to copy data between the mount folder and the interactive folder. Of course you can still mount on/data1
. But please be careful that the results folder under/data1
may be overwritten.