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Owner
jmduarte
commented
Oct 8, 2023
jmduarte
commented
- Use code generation
Closed
8 tasks
…re-commit-ci-update-config [pre-commit.ci] pre-commit autoupdate
Bumps [pre-commit/action](https://github.com/pre-commit/action) from 3.0.0 to 3.0.1. - [Release notes](https://github.com/pre-commit/action/releases) - [Commits](pre-commit/action@v3.0.0...v3.0.1) --- updated-dependencies: - dependency-name: pre-commit/action dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
updates: - [github.com/psf/black: 24.1.1 → 24.2.0](psf/black@24.1.1...24.2.0)
Ideally restricting the version of tensorflow-model-optimization is temporary until it's fixed upstream.
…ependabot/github_actions/pre-commit/action-3.0.1 Bump pre-commit/action from 3.0.0 to 3.0.1
…tmachinelearning#964) * make fractional a property (plus similar modifications) * move quantizers to a new quantizers.py from types.py * remove explicit setting of fractional * remove setting for fractional that was missed * Clean up eq function and make everything a property * Add test for precision type creation * Nicer docstring for quantizers module * Move precision parsing test to test_types * Hardwire saturation bits of int type to 0 * Handle saturation bits for AC types correctly * Fix return value of __eq__ of PrecisionType base class --------- Co-authored-by: Vladimir Loncar <[email protected]>
…re-commit-ci-update-config [pre-commit.ci] pre-commit autoupdate
updates: - [github.com/asottile/pyupgrade: v3.15.0 → v3.15.1](asottile/pyupgrade@v3.15.0...v3.15.1)
…re-commit-ci-update-config [pre-commit.ci] pre-commit autoupdate
…_fix vitis backend tarball fix
…itis-tests Allow Vitis synthesis tests
…namespace, tar file and weight txt files
…eanup Fix cleanup of synthesis tests (leftover from 927)
…mduarte-patch-1 Fix sphinx by pinning tensorflow<=2.15
updates: - [github.com/psf/black: 24.8.0 → 24.10.0](psf/black@24.8.0...24.10.0) - [github.com/pre-commit/pre-commit-hooks: v4.6.0 → v5.0.0](pre-commit/pre-commit-hooks@v4.6.0...v5.0.0) - [github.com/asottile/pyupgrade: v3.17.0 → v3.18.0](asottile/pyupgrade@v3.17.0...v3.18.0) - [github.com/asottile/setup-cfg-fmt: v2.5.0 → v2.7.0](asottile/setup-cfg-fmt@v2.5.0...v2.7.0) - [github.com/mgedmin/check-manifest: 0.49 → 0.50](mgedmin/check-manifest@0.49...0.50)
…pre-commit-ci-update-config [pre-commit.ci] pre-commit autoupdate
…ion-api-part-2 hls4ml Optimization API [Part 2]
Hardcore weight txt path
…path_special_char_esc
quote the ${WEIGHT_DIR} to handle special characters
* snapshot adding oneapi * fix reduce constexpr * further updates * update the bridge and testbench * fix issues discovered when compiling * update bridge writing files * build library (but not tested) * fix a bug in testbench * snapshot after some debugging * remove forgotten debug printing * add build * pre-commit fixes * fix more pre-commit * fix more pre-commit errors * snapshot of work before reworking types * Use using to decide array type, some preliminary updates * snapshot unifying types * fix the testbench and bridge * snapshot updating nnet_utils (not finished) * define array in nnet_types for oneAPI * fix parallel conv2d * add back the streaming versions of algs, most unconverted * tentatively complete streaming for dense but not functional * first version that compiles streaming * change how the pipe value type is extracted * fix pre-commit error * always treat elu as ELU class * fix batchnorm * snapshot towards fixing conv * snapshot fixing test for streaming * fix conv1d * fix conv2d * fix reshape and flatten for oneAPI * initial oneAPI tests * remove nnet_dense_compressed from oneAPI * add merge functionality (untested) * fix merge for oneAPI * fix merge for oneAPI (missing commit) * add zeropadding * standardize paralellization spelling * fix pointwise for oneAPI * remove references to quartus * more replace quartus with oneapi * snapshot on the way towards implementing pooling * fix io_stream pooling for oneAPI * add fix for Conv2DBatchnorm * accidentally committed CMakeLists.txt in my debug setup * reshaping, not fully tested * fix cloning of streams * fix pytest library loading * remove unused template * fix some activation bugs * fix the overwriting of directories in the pytest * update version of test repository * try to fix docker issue * bump hls4ml-testing tag to 0.5.2 * try not restricting tensorflow-model-optimizatoin * Update to 0.5.3 for testing * bump to docker image 0.5.4, suggested by Ben * fix pre-commit warning * dial down N_TESTS_PER_YAML to 4 * revert tensorflow-model-optimization change * fix issue of saving in "obsolete" h5 format * fix embedding for oneAPI * First attempt at adding RNNs to oneAPI * fix bug in array size * fix order or indices * make queues static in bridge * fix logic error in repack stream * changing the style, but functionally identical * update pointwise optimizer for oneAPI * add oneAPI to test_multi_dense.py * fix updating weight types * initial changes of templates, for testing * fix weight naming, product selection * make im2col the default; fix winograd size * fix up streaming dense and convolution * fix prelu, some batchnorm * fix weight array of exponential types * move ACExponentialPrecisionDefinition to oneapi_types * attempt to fix batchnorm and recurrent * fixed BatchNormalizationQuantizedTanhConfigTemplate template selection * fix embedding_stream * fix lstm and simple rnn * fix GRU * fix winograd, and also disable it by default * fix threshold name * split bn_quant to be backend-specific * add type inference to oneAPI * add oneAPI to pytorch tests * fix pooling with padding for oneAPI and Quartus * Compilation for larger models enabled by increasing -fconstexpr-steps * add oneapi clone tests; remove reduntand multi_clone test * remove some attributes to avoid overwrite warnings * make extra handling for oneAPI like others (as in PR fastmachinelearning#1067) * remove warnings for extra optimizers that are not scheduled on purpose * update parametrized activations * fix reference to alpha that had not been switched to param * add oneapi documentation * add parallelization factor to the attributes for oneAPI --------- Co-authored-by: Lauri Laatu <[email protected]> Co-authored-by: Jan-Frederik Schulte <[email protected]>
…arning#1085) * update keras activation parsing, especially leaky relu * fix assert in pytest as in oneAPI branch
…ix_torch Fix softmax parsing in pytorch and add test
updates: - [github.com/asottile/pyupgrade: v3.18.0 → v3.19.0](asottile/pyupgrade@v3.18.0...v3.19.0)
…pre-commit-ci-update-config [pre-commit.ci] pre-commit autoupdate
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