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  1. Mar 23, 2021
  2. Feb 26, 2021
  3. Feb 24, 2021
  4. Feb 23, 2021
  5. Feb 22, 2021
  6. Feb 21, 2021
    • Yaman Umuroglu's avatar
      [Docs] update tutorials · 7776475f
      Yaman Umuroglu authored
      7776475f
    • Yaman Umuroglu's avatar
      Custom op notebook (#283) · a65e08b0
      Yaman Umuroglu authored
      
      * [Notebook] start custom op nb
      
      * [Notebook] update custom_op notebook
      
      * [Notebook] update the custom op notebook to reflect new reg system
      
      * [Notebook] Added more descriptive text into the notebook (#278)
      
      * [Web] update publications
      
      * Build step: measure rtlsim performance (#262)
      
      * [Build] introduce step_measure_rtlsim_performance
      
      * [Docs] document the rtlsim performance step
      
      * [Docs] add comments on CPU/RAM/storage recommandations
      
      * [Build, Test] enable rtlsim perf as part of build test too
      
      * [Build] print where intermediate outputs are generated
      
      * [Docs] remove ghpages content, add note
      
      * [Docker] use -c continue for build_custom mode
      
      * [Docs] minor fixes
      
      * Driver data packing + improvements (#261)
      
      * [Driver] add driver_base.py as own template file + comments
      
      * [Driver] also move validation to won template + use in transform
      
      * [Driver] more comments
      
      * [Driver] suggested updates from PYNQ team + async mode exec_on_buffers
      
      * [Driver] allow smaller batchsize in execute_on_buffers
      
      * [Driver] optimize buffer alloc a bit
      
      * [Driver] wait condition fix
      
      * [Deps] update finn-base
      
      * [Deps] update finn-base
      
      * [Driver] enable fast_mode, expose more benchmarks
      
      * [Deps] update finn-base
      
      * [Driver] handle case with no rt weights
      
      * [Build] auto-exit build_custom if no errors
      
      * [Driver] get Alveo clock during test
      
      * Add report_utilization to stitched project tcl script (#243)
      
      * [Vitis] use -mode batch for report gen Vivado launch
      
      * Feature/cybersecurity notebook (#259)
      
      * Created cybersecurity notebook and downloaded data with wget
      
      * Reorganized the cybersecurity notebook
      
      * Read the entire dataset as a pytorch tensor and trained a simple MLP on the UNSW_NB15 dataset
      
      * small changes to markdown
      
      * Training and testing have the same integer encoding
      
      * Added debugger tool
      
      * added loss visualization
      
      * aded 1hot encoder and separated dataloader
      
      Added 1-hot encoder with scikit learn.
      Seperated the dataloader into a python file.
      
      * changes to get 99.998% accuracy
      
      * changed loss plot
      
      * accuracy at 70% after 50 epochs
      
      However, loss is not ok
      
      * got 75% accuracy
      
      * see loss
      
      * added scheduled statistics
      
      * added iterator over all possible parameters
      
      * updates on automation
      
      debugging model error
      
      * Delete cybersecurity-checkpoint.ipynb
      
      * Delete cybersecurity_2-checkpoint.ipynb
      
      * Delete exemplofixe-checkpoint.ipynb
      
      * Delete UNSW_NB15_testing-set.csv
      
      * Delete UNSW_NB15_train.csv
      
      * Delete UNSW_NB15_training-set.csv
      
      * Delete UNSW_NB15_val.csv
      
      * general cleanup
      
      * general cleanup
      
      * updates with 75.7238% accuracy
      
      * added quantization of the dataset
      
      * debugging the quantization of the dataset
      
      * added plots for the debugging
      
      * debugging the quantization. Show the differences
      
      * update debugging
      
      * updates on debugging
      
      * updates on debugging quantization
      
      * updates on debug, uint32 df added
      
      * updates on debugging
      
      * added 2 pictures for the debugging
      
      * Added quantization of the dataset
      
      * aded results for training the model with the quantized dataset
      
      * added quantization of the dataset
      
      * added new notebook with model definition with brevitas
      
      * cleaning up documents
      
      * modified the model definition
      
      * Changed the loss function
      
      * Added debug with pdb
      
      * Successfully created neural network with Brevitas
      
      * Correctly quantize the dataset
      
      * Added export of onnx model
      
      * Added FINN validation of the Brevitas model
      
      * improved dataloader
      
      * general cleanup
      
      * General Cleanup
      
      * General Cleanup
      
      * Completed verifying the FINN model against Brevitas
      
      * Added new layer to MLP - Debugging
      
      * verified that the MLP model with new layer (QuantIdentity) outputs the same in Brevitas and in FINN for all 82332 test inputs
      
      * verified that the MLP model with new layer (QuantIdentity) outputs the same in Brevitas and in FINN for all 82332 test inputs
      
      * verified that model with new layer (QuantIdentity) outputs the same in Brevitas and in FINN for all 82332 inputs
      
      * verified that model with new layer and input shifted to accept {-1,1}, outputs the same in Brevitas (input is in {-1,+1}) and in FINN (input is in {-1,+1})  for the 82332 inputs
      
      * General cleanup and added text
      
      * General cleanup: improved text
      
      * General cleanup: fixed text typos
      
      * General cleanup: Added text
      
      * Delete cybersecurity.ipynb
      
      * Delete dataloader.py
      
      * Rename cybersecurity_Brevitas_1bit.ipynb to 1-cybersecurity-Brevitas-1bit.ipynb
      
      * Rename cybersecurity_Brevitas_Verification.ipynb to 2-cybersecurity-finn-verification.ipynb
      
      * Added the last notebook
      
      * Added last notebook describing the finn build
      
      * Added changed parameters to see differences
      
      * Added changed parameters and added text
      
      * Fixed typo
      
      * [Notebooks] reorganize into folders, add README for cybsec
      
      * [Notebook] add license header and refs to cybsec dataset quantizer
      
      * [Notebooks] rename cybsec notebook files
      
      * [Notebook] first pass thru cybsec part 1
      
      * [Notebook] refactor more of cybsec part 1
      
      * [Notebook] add option to use pretrained weights
      
      * fixed outline and typo
      
      * [Notebook] update cybsec notebook #2 and gitignore
      
      * [Notebook] start refactoring cybsec part 3
      
      * [ConvertToHLS] allow out_scale=2 for bipolar MT
      
      * [Build] add alternative set of steps for estimation only
      
      * [Transform] attempt to handle padding for IODMAs
      
      * [Transform] explicitly ignore IODMA nodes for InsertDWC
      
      * [Notebook] full pass over cybsec notebook 3
      
      * [Util] move vivado utils into finn-base
      
      * fixed outline
      
      * [HLSCustomOp] better err msg on ipgen failure
      
      Co-authored-by: default avatarAlina Vasilciuc <alinav@xlnx.xilinx.com>
      Co-authored-by: default avatarYaman Umuroglu <yamanu@xilinx.com>
      
      * [Notebook] add README, remove mobilenet notebook
      
      * [Docs] round of updates
      
      * [Docs] make stack image local
      
      * [Docs] apidocs updates
      
      * [Docs] update README for v0.5b
      
      * [Release] merge dev into master for v0.5b
      
      * [Docs] bring back missing img
      
      * [Docs] bring back missing images
      
      * Switch hlslib comparison functions (#263)
      
      * [Test] add lfc to end2end tests
      
      * [Deps] update hlslib to get comp:: fxns
      
      * [HLS] use comp:: comparators instead of std::
      
      * [VVAU] hlslib now uses inner prod dim instead of K
      
      * [Thres] manually workaround vivado_hls bug for T[0][0]=0
      
      * [Infra] add .vscode to .gitignore
      
      * [Build] separate HLS codegen and ipgen steps (#265)
      
      * [Docs] first version of developer docs
      
      * [Notebook] fix broken resource paths
      
      * Fix Im2Col attributes for newer finn-base (#276)
      
      * [Deps] update finn-base
      
      * [Refactor] fix im2col props for updated finn-base
      
      * [Docs ] Add FAQ page to the Documentation (#273)
      
      * [Docs] Add FAQ page into the Docs
      
      * [Docs] some minor text format changes.
      
      * [Docs] updates to FAQ
      
      Co-authored-by: default avatarYaman Umuroglu <yaman.umuroglu@xilinx.com>
      
      * [Notebook] Added more descriptive text into the notebook
      
      * Fix ZCU102 support in Vivado shell project (#280)
      
      * [ConvertToHLS] fix conversion for bipolar outputs
      
      * [Notebook] updates to custom op notebook
      
      Co-authored-by: default avatarYaman Umuroglu <yamanu@xilinx.com>
      Co-authored-by: default avatarTobi-Alonso <tobi.alonso@gmail.com>
      Co-authored-by: default avataralinavalinav <60705229+alinavalinav@users.noreply.github.com>
      Co-authored-by: default avatarAlina Vasilciuc <alinav@xlnx.xilinx.com>
      Co-authored-by: default avatarYaman Umuroglu <yaman.umuroglu@xilinx.com>
      Co-authored-by: default avatarFelix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
      
      Co-authored-by: default avatarjalezeta <51440887+jalezeta@users.noreply.github.com>
      Co-authored-by: default avatarTobi-Alonso <tobi.alonso@gmail.com>
      Co-authored-by: default avataralinavalinav <60705229+alinavalinav@users.noreply.github.com>
      Co-authored-by: default avatarAlina Vasilciuc <alinav@xlnx.xilinx.com>
      Co-authored-by: default avatarFelix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
      a65e08b0
  7. Feb 18, 2021
  8. Feb 12, 2021
  9. Feb 11, 2021
  10. Feb 08, 2021
  11. Feb 07, 2021
  12. Feb 06, 2021
  13. Feb 04, 2021
  14. Feb 01, 2021
  15. Jan 31, 2021
  16. Jan 26, 2021
  17. Jan 21, 2021
  18. Jan 20, 2021
  19. Jan 17, 2021
    • Yaman Umuroglu's avatar
      Switch hlslib comparison functions (#263) · 8497814b
      Yaman Umuroglu authored
      * [Test] add lfc to end2end tests
      
      * [Deps] update hlslib to get comp:: fxns
      
      * [HLS] use comp:: comparators instead of std::
      
      * [VVAU] hlslib now uses inner prod dim instead of K
      
      * [Thres] manually workaround vivado_hls bug for T[0][0]=0
      8497814b
  20. Jan 15, 2021
  21. Dec 17, 2020
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