can be customized via env.var

* remove obsolete netron params

* set default ip and port

* set host and port as fixed params

* consistency

* Add MoveMulPastMaxPool transformation to streamlining (#285)

* Add MoveMulPastMaxPool transform to streamlining

* Add second call to transformation within streamlining

* [Docker] set Netron version to >=4.7.9

Co-authored-by: Neil Kim Nielsen <37108154+neilnielsen@users.noreply.github.com>
Co-authored-by: Felix Jentzsch <45395194+fpjentzsch@users.noreply.github.com>
Co-authored-by: Yaman Umuroglu <yamanu@xilinx.com>

* Move python package installations into the finn_dev Dockerfile

* Delete previous run results to avoid "File exists" error.

* [Docker] pin new packages to versions

Co-authored-by: Yaman Umuroglu <yaman.umuroglu@xilinx.com>

* [Util] Add mobilenet to test.py in util

* [Test] Add first draft of brevitas export unit test into test suite

* [Test] Shorten import of mobilenet and add example picture

* [Docker] Temporarily set brevitas commit version to auphelia brevitas fork

* [Test] Add transformation and execution function to mobilnet test

* [Docker] Change brevitas repo back to Xilinx repo

* [Test] Add transformations and execution to mobilenet test

* [Docker] Update brevitas commit version

* [Test] Insert Topk into mobilenet test

* [Test] Use Top5 to verify mobilenet functionality of execution in FINN

* [CustomOp] Remove rounding in QuantAvgPool2d

* [Test] Add first streamlining transformations to mobilenet test

* [Notebook] Add end2end notebook for mobilenet-v1

* [Test] Add transformation to streamline mobilenet-v1

* [Test & Notebook] Update streamlining and lowering of mobilenet-v1

* [Test] Add test setup for move flatten transformation

* [Test] Add tidy up trafo mobilenet test

* [Streamline] Add reorder fct to move flatten past matmul, mul or add

* [Test] Update test to check functional verification after MoveFlatten trafo

* [Test] Add new trafos to mobilenet test

* [Streamline] Add drafts for move transformations to reorder trafos

* [Test] Delete obsolete test and update mobilenet test

* [Streamline] Fix missing return in MoveTransposePastScalarMul

* [Test] Update mobilenet test with new transformations

* [Test] Add mul value to make model outputs comparable (mobilenet-v1)

* [Test&Notebook] Update mobilenet-v1 streamlining

* [Test] Add preprocessing as exportable pytorch module for mobilenet and merge models

* [Util] Add pytorch modules for imagenet normalize preprocessing

* [Util] Add functions to resize and centercrop a PIL image

* [Test] Refactor mobilenet test

* [Test] Set input finn dtype and fix bug with saving onnx checkpoints

* [Test] First draft of end2end test mobilenet (prepare model for flow)

* [Test] Add streamlining and lowering to end2end mobilenet test

* [Test] Add hls conversion and dataflow partitioning to mobilenet end2end test

* [Transform] ConvertToHLSLayers add support for QuantAvgPool2d with data layout NHWC

* [Test] Save golden output for end2end mobilenet

* [Test] Add folding and draft for verification to end2end mobilenet

* [Transform] Fix bug in insertion of pool batch node

* [Test] Add time measurement to end2end mobilenet

* [Test] Add ip gen and rtlsim to end2end mobilenet test

* [Transform] Add missing import HLS conversion

* [Test] Clean dataflow partition of mobilenet before saving

* [Docker] mount imgnet val if specified

* [Util] add some ImageNet val utils

* [Test] add validation test for MobileNet-v1

* [Util] support logging QuantTensors in forward hook

* [Test] add debug option for tensorwise comparison in validate_mobilenet

* [Test] Delete streamlining part from mobilenet export test

* [Test] pre-commit test_brevitas_mobilenet

* [Util] Set resample=0 in PIL resize function

* [Doc] document the imagenet val env.var

* [Test] mark mobilenet val test as xfail

* [Test] correct typo in MobileNet-v1 val test

* [Test] fix MobileNet-v1 validation test for multiple imgs

* [Util] fix get_val_images for ImageNet validation

* [Util] more ImageNet testing utils

* [Test] use new utils in MobileNet-v1 tests

* [Util] update ImageNet utils to use torchvision utils

* [Test] test preproc only in test_brevitas_mobilenet_preproc

* [Util] add option to control get_val_images order

* [Test] different classes for mobilenet comparison

* [StreamingFC] clip thresholds larger than acc

* [VVAU] add accumulator minimization and threshold clipping

* [HLSCustomOp] clip thresholds on both sides if needed

* [Transform] call acc minimization for VVAU too

* [Test] reorder tests for end2end mobilenet

* [Test] fixes to MobileNet validation after merge

* [Test] MobileNet-v1: temp fix for export + add fifo set and build

* [Transform] fix num inp vectors for InferLabelSelect

* [Test] MobileNet: bring back labelselect, use dataflow partition

* [Deps] update Brevitas to get mobilenet export fix

* [Test] bring back export for mobilenet-v1 end2end

* [Test] MobileNet-v1: add extra_fold, reorder tests

* [Test] MobileNet-v1: additional marks + bugfix

* [Test] MobileNet-v1: fix build dir

* [LabelSelect] fix cppsim bug

* [SetFIFODepths] allow overriding auto for large FIFOs

* [Test] MobileNet-v1: add more config options to mnv1 end2end test

* [Vitis] enable Vivado physopts with PERFORMANCE_BEST

* [Test] MobileNet-v1 edn2end: aim for higher perf

* [Build] add more build options + minor improvements

including Vitis build strategy, large FIFO mem mode + ability to
spec custom fifo depths

* [Docker] minor improvements in run-docker.sh

* [Docker] new attempt at handling XRT deps

* [Test] mark semi-failing MNv1 tests as xfail

* [Infra] fix entrypoint script working dirs

* [Build] allow specifying fxns as build steps

* [Build] print build log location

* [InsertFIFO] allow creating shallow FIFOs if desired

* [Build] create shallow FIFOs to use ApplyConfig, then remove as needed

* [Infra] use abspath for Dockerfile

* Revert "[Infra] use abspath for Dockerfile"

This reverts commit 010fb910b140e7539e1599862681a4d520171388.

* [Infra] better solution for run-docker.sh from outside

* [HLSCustomOp] add directory check after running IPGenBuilder

* [Build] rename to step_set_fifo_depths, fix non-auto depth case

* [Build] typo fix

Co-authored-by: auphelia <jakobapk@web.de>

* [Setup] basic updates to setup.cfg

* [Setup] pip install finn in entrypoint script

also clean up Dockerfile a bit, remove EXPOSE cmds from Dockerfile.finn_dev
-- these don't really have a function

* [Setup] add cleanup prior to pip install to remove cruft

can otherwise break finn during FINN->finn transition in setup.cfg

* [Deps] add pip install for pyverilator

causing problems on many systems