Tract

* ONNX-ML: CategoryMapper and TreeEnsembleClassifier (partial, SoftmaxZero and Probits are missing). With NNEF support.
* cargo-deny enforces licences choices

* 0.12.0 is a misfire.

* API BREAKING: TypedFact::dt_shape & friends can not fail anymore, no longer return a result (remove `?`)
* Breaking: Rust minimal version bumped to 1.42

* Early, basic, correct but slow support for i8 by u8 matrix mult.
* Support for Apple Silicon, aka M1, aka aarch64 darwin (but not in CI yet)
* dynamic quantization convolution support
* release now ships cli musl builds for linux
* optimizations targetting small Cortex-A (like 7, 8, and 9)
* command line dump --profile --cost now computes flops
* ONNX: OneHot op support

* ONNX: new op: DynamicQuantizeLinear
* tract-data crate split from core, containing tensor, dim, and datum types.

* switch from error_chain to anyhow
* simplify trivial gathers to a slice
* generalize symbolic dimension a bit: support "2S" and the like
* deprecate "x" syntax in CLI, please use `,` instead

Breaking

* NNEF: tract-nnef no longer performs gunziping, but expect an uncompressed tar
stream. We found out is it counter-productive (weights matrices are more or
less random, they do not compress easily, and decompression is expensive).
NNEF networks in the wild are .tgz file. Using flate2, decompression is a
one-liner, but it must be done by the client code now.
* bumped extended nnef compat version (unchecked at this stage) to "alpha1"
* move pulse operators and translation to their own crate and nnef registry
* generalize TDim to support an arbitrary number of symbols
* concretize_stream_dim is superseded by concrentize_dims

Notable

* new crates, building on tract-opl introduction:
* *tract-pulse-opl*: pulse runtime (handful of ops, including Delay) is now separated from core
* *tract-onnx-opl*: onnx runtime (4 ops not belonging in core)
* *tract-pulse*: pulsification of models (model-translation time)
* tract-onnx is now limited to onnx model loading and conversion

* load a NNEF as a TypedModel using tract_nnef, and from the CLI
* dump a tract TypedModel to NNEF (with extensions for op not nnef compatbile)
* not a full coverage of nnef, but enough for most CNN (image categorizers zoo working)
* 80% of onnx tests are surviving a NNEF dump and reload at this stage