delphinium

What's Changed

• fix conv1d io_parallel resource by @jmitrevs in #403
• Speed up CI tests by @thesps in #407
• Fix GlobalPooling1D Layers by @jmduarte in #399
• Fix batched multiple inputs by @jmduarte in #414
• Fixed 'qkeras_mnist_dense' example build problem #423 by @siorpaes in #424
• Update for pyyaml 6.0 by @thesps in #435
• axi_stream_driver update by @nicologhielmetti in #420
• Reshape fixes: don't repack stream for flatten; remove final reshape by @jmduarte in #443
• Fix Conv2D with io_type = io_parallel & Strategy: Resource by @thesps in #448
• Support applying Softmax over multidimensional tensors by @vloncar in #384
• Disable some unsupported layers by @thesps in #447
• Fixes: quantized_relu & unsigned profiling part II by @thesps in #441
• GarNet and GarNetStack in config.py by @yiiyama in #344
• support ZeroPadding layers by @jmduarte in #480
• New backend development framework by @vloncar in #395
• Register ApplyAlpha layer templates by @thesps in #499
• Parsing extended by @nicologhielmetti in #501
• Remove intermediate casting in product by @jmitrevs in #490
• Add QKeras as a package dependency by @vloncar in #511
• Copy flows from config by @thesps in #510
• VivadoAccelerator backend updates by @thesps in #508
• Optimized look-up table by @nemerchiedde in #527
• Upsampling2D test case by @ChiRuiChen in #520
• Support UpSampling1D by @vloncar in #475
• RNN support (part 1) by @vloncar in #521
• Quartus Custom Matrix Multiplication & Quantization by @bo3z in #523
• Vivado-equivalent implementation of Softmax on Quartus by @bo3z in #540
• Ensure 2 bits for scale in po2 quantizers by @vloncar in #531
• Link update by @bkmgit in #519
• Fix removal of nodes ingested by multiple downstream nodes by @jmduarte in #544
• Enable SeparableConv2d by @jmduarte in #547
• Extension API by @vloncar in #528
• change string ReuseFactor to int by @jmitrevs in #416
• Make the size of bn scale and bias what they really are by @jmitrevs in #532
• Raise runtime error when a layer is named input by @jmduarte in #482
• fix insertion before a node with multiple inputs + support additional broadcasting by @jmduarte in #551
• Pointwise conv1d/2d resource by @jmduarte in #471
• Quartus Embedding Layer by @bo3z in #548
• Fix for QActivations passed as an argument by @AdrianAlan in #553
• Don't override precision directly in the QKeras optimizer by @vloncar in #567
• Remove the in/out size from top function by @vloncar in #559
• Transpose2d, Concatenate2d, and up to 3 Clones for io_stream by @jmduarte in #402
• Remove io_serial as io_stream and add some more info in docs. by @Duchstf in #334
• Update docs for v0.6.0 by @thesps in #453
• Use correct number of args for multiple outputs by @apfusco in #487
• Fixed a few typos in the documentation by @pitmonticone in #467
• returning integer from _compute_n_samples by @JochiSt in #537
• Providing support for Alveo boards by @selwyn96 in #552
• Make layer names case sensitive in config. by @jmitrevs in #577
• Add issue and PR templates by @jmduarte in #582
• Vivado Backend GRU/LSTM support by @drankincms in #560
• Update CI template syntax by @thesps in #593
• Update flow dependencies by @vloncar in #588
• Fix parsing of ZeroPadding layers by @vloncar in #595
• remove cppname by @jmitrevs in #562
• Remove email helpline from the docs by @vloncar in #601
• Fixes for GRU/LSTM in Vivado backend by @drankincms in #598
• Remove io_serial by @vloncar in #609
• Fix test_graph by @vloncar in #611
• Override parent backend optimizer passes with derived backend passes by @thesps in #597
• Enforce function pipelining when using io_parallel with Resource strategy by @vloncar in #605
• FIFO depth optimization by @nicologhielmetti in #509
• Add tracing support for the quartus backend by @jmitrevs in #583
• Quartus streaming support for Activations, Dense & Batch Normalization by @bo3z in #557
• QConv alpha != 1 bug fix by @bo3z in #612
• Quartus Stream Embedding by @bo3z in #625
• change master to main by @jmitrevs in #602
• Edit order of the optimizers in the flow so that BramFactor is followed by @jmitrevs in #621
• Softmax LUT Optimization by @bo3z in #570
• Quartus Synthesis Flow Improvement by @bo3z in #618
• Quartus Extensions by @bo3z in #628
• Quartus GRU by @bo3z in #596
• Quartus Merge layers by @bo3z in #634
• fix nondefault project name handling by @jmitrevs in #626
• Fix parsing of logic synthesis reports by @vloncar in #639
• Fix conv1d stream implementation hls directives by @Jonathan-Shoemaker in #635
• Implementation and optimizations linked to Simple-RNN and LSTM for qu… by @nemerchiedde in #575
• Softsign optimization by @nemerchiedde in #585
• Parallel CNNs, Pooling & Image Layers for Quartus Backend by @bo3z in #561
• Quartus Streaming Softsign (PR #585 contd.) by @bo3z in #655
• Remove final reshapes even for Quartus by @jmitrevs in #661
• Unrolled CNN implementation by @vloncar in #600
• the strategy was not propagated in the pytest by @jmitrevs in #663
• Fix keras model loading issue with loading model with KerasH5 by @calad0i in #664
• append applied_flows container before filling instead of after by @jmitrevs in #641
• set version using setuptools_scm by @jmduarte in #479
• Argmax Softmax by @bo3z in #627
• Fix version extraction in Sphinx config by @vloncar in #669
• Add requested citations to README by @jmduarte in #615
• skip BatchNorm fusion when input/output is used multiple times by @jmduarte in #481
• Use wider accum_t for (average) pooling by @vloncar in #681
• Quartus Streaming Conv, Pooling & Image layers by @bo3z in #656
• Create branch on PR by @jmduarte in #636
• Delete example-prjs directory by @jmduarte in #682
• Adiabatically turn on pre-commit by @jmduarte in #678
• Add causal padding by @cgutsche in #688
• Update pre-commit GitHub Action by @jmduarte in #689
• New config_from_keras_model by @vloncar in #690
• remove obsolete np.int and np.float by @jmitrevs in #703
• Update p-clang-format to work on mac by @jmduarte in #704
• Fix function call in Alveo tcl script by @vloncar in #694
• add readme for contrib by @jmitrevs in #706
• WIP Add custom KL loss layer HLS implementation by @katyagovorkova in #606
• Fix incorrectly linted build() command by @vloncar in #709
• For encoded convolution, add check for when min_width would have been larger than in_width by @jmitrevs in #610
• fifo_depth_optimization flow require ip, not writer, before running by @jmitrevs in #642
• update isort to fix pre-commit by @jmduarte in #719
• Fixed sign parsing for ac_fixed and ac_int by @jmitrevs in #727
• Correctly expand dims of pointwise layer by @vloncar in #715
• Support keepdims in GlobalPooling layers by @vloncar in #716
• Register layer attributes in VivadoAccelerator backend by @vloncar in #724
• Add quantized sigmoid, fix quantized tanh for QKeras by @jmitrevs in #569
• print_vivado_report function for nicer reports by @vloncar in #730
• Quartus bram factor by @jmitrevs in #700
• Fix inplace variables by @jmitrevs in #714
• Fix for cloned stream that is subsequently flattened by @jmduarte in #708
• Vitis HLS backend by @vloncar in #629
• Update documentation for v0.7.0 release by @jmduarte in #710
• Fix release notes + version in docs by @jmduarte in #742
• Fix precommits by @jmitrevs in #741
• mv dependabot.yml by @jmduarte in #743
• Bump actions/setup-python from 2 to 4 by @dependabot in #748
• fix Vitis pragmas messed up by pre-commit by @jmitrevs in #751
• Additional cleanup of the codebase by @vloncar in #750
• Fix for BatchNormalization layers with center=False or scale=False by @jmduarte in #754
• Remove references to GPL since we now use a different license by @jmitrevs in #761
• Fix pooling layers when padding is applied from the left/top by @JanFSchulte in #757
• Further update documentation for 0.7.0 by @jmitrevs in #744
• Update pypi-publish.yml by @jmduarte in #763
• Fix pypi version by @jmduarte in #766
• add a default weight_size by @jmitrevs in #772
• CNNs with binary inputs and weights need fixes by @jmitrevs in #749
• Minor documentation updates by @jmitrevs in #774

New Contributors

• @siorpaes made their first contribution in #424
• @nemerchiedde made their first contribution in #527
• @ChiRuiChen made their first contribution in #520
• @bo3z made their first contribution in #523
• @bkmgit made their first contribution in #519
• @apfusco made their first contribution in #487
• @pitmonticone made their first contribution in #467
• @JochiSt made their first contribution in #537
• @selwyn96 made their first contribution in #552
• @Jonathan-Shoemaker made their first contribution in #635
• @calad0i made their first contribution in #664
• @cgutsche made their first contribution in #688
• @dependabot made their first contribution in #748
• @JanFSchulte made their first contribution in #757

Full Changelog: v0.6.0...v0.7.0