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…ty and robustness
Fixed chain bridging bug Added changelog and updated documentation
changed node library naming
…put_tensors to be more robust
… raw torch tensors and pack them later outputs are automatically modified so the overall function will output raw torch tensors now. added tests for testing packed expr generation
…e parent class. tightened leapp python requirements to >=3.10
- Added GraphConfigs for graph-level metadata passed through leapp.compile_graph(...). - Emits graph-level config fields under pipeline.configs, e.g. frequency and flattened extra values. - Added TemporalAxis for marking a tensor axis as temporal through TensorSemantics.element_names. - Serializes temporal axes with the reserved __temporal_axis__ sentinel and temporal_period_ms. - Exported GraphConfigs and TemporalAxis from the public leapp package. - Updated semantic metadata docs and API docs with graph-level semantics and temporal-axis examples. - Added functional coverage for GraphConfigs and TemporalAxis YAML output. Co-authored-by: lgulich <22480644+lgulich@users.noreply.github.com> * updated tensor semantics api for temporal axis --------- Co-authored-by: lgulich <22480644+lgulich@users.noreply.github.com>
* Add static auto-layout graph visualization (#8) * Add static graph visualization auto-layout * Document leapp-visualization package split * Plan leapp-visualization package split * Split graph visualization into leapp-visualization package * Address graph visualization review feedback * Gate visualization on Python 3.11 * Remove SVG rendering from graph visualization Raster and vector output were two independent rendering pipelines that had to be kept visually equivalent by hand. Per PR review feedback, drop the SVG renderer and keep PNG as the single graph visualization artifact. * Install leapp-visualization from source instead of an index * added lincense, fixed formatting. updated some docs --------- Co-authored-by: lgulich <22480644+lgulich@users.noreply.github.com>
…nput tinting bugs in visualization
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0.6.0
A feature release that greatly improves the the graph drawing and visualization. Users No longer need to spend time reordering the graph. Instead a new static graph is generated using fast-sugiyama for automatic layouts. This release also introduces export as pt2 format. This format is the currently supported export format by pytorch and should allow for better post export optimization without sacrificing portability. Finally, in this release we introduce temporal semantics as part of the semantic data annotation suite. This update forces the python version to be >=3.10
Features:
TemporalAxis(period_ms=...), emitted in YAML as__temporal_axis__plustemporal_period_ms.GraphConfigsfor graph-level config metadata underpipeline.configs.torch.exportexport support viaexport_with="exported-program"and theexport_with="pt2"alias.InferenceManager.Internal refactors:
TracedData.>=3.10.Fixed
fill_andcopy_.Changed / Docs