Heat

Highlights
- [906](https://github.com/helmholtz-analytics/heat/pull/906) PyTorch 1.11 support
- [595](https://github.com/helmholtz-analytics/heat/pull/595) Distributed 1-D convolution: `ht.convolve`
- [941](https://github.com/helmholtz-analytics/heat/pull/941) Parallel I/O: write to CSV file with `ht.save_csv`.
- [887](https://github.com/helmholtz-analytics/heat/pull/887) Binary operations between operands of equal shapes, equal `split` axes, but different distribution maps.
- Expanded memory-distributed [linear algebra](linalg), [manipulations](manipulations) modules.

Bug Fixes
- [826](https://github.com/helmholtz-analytics/heat/pull/826) Fixed `__setitem__` handling of distributed `DNDarray` values which have a different shape in the split dimension
- [846](https://github.com/helmholtz-analytics/heat/pull/846) Fixed an issue in `_reduce_op` when axis and keepdim were set.
- [846](https://github.com/helmholtz-analytics/heat/pull/846) Fixed an issue in `min`, `max` where DNDarrays with empty processes can't be computed.
- [868](https://github.com/helmholtz-analytics/heat/pull/868) Fixed an issue in `__binary_op` where data was falsely distributed if a DNDarray has single element.
- [916](https://github.com/helmholtz-analytics/heat/pull/916) Fixed an issue in `random.randint` where the size parameter does not accept ints.

New features

Arithmetics
- [945](https://github.com/helmholtz-analytics/heat/pull/945) `ht.divide` now supports `out` and `where` kwargs
Communication
- [868](https://github.com/helmholtz-analytics/heat/pull/868) New `MPICommunication` method `Split`
- [940](https://github.com/helmholtz-analytics/heat/pull/940) and [#967](https://github.com/helmholtz-analytics/heat/pull/967) Duplicate `MPI.COMM_WORLD` and `MPI_SELF` to make library more independent.

DNDarray
- [856](https://github.com/helmholtz-analytics/heat/pull/856) New `DNDarray` method `__torch_proxy__`
- [885](https://github.com/helmholtz-analytics/heat/pull/885) New `DNDarray` method `conj`
<a name="linalg"></a> Linear Algebra
- [840](https://github.com/helmholtz-analytics/heat/pull/840) New feature: `vecdot()`
- [842](https://github.com/helmholtz-analytics/heat/pull/842) New feature: `vdot`
- [846](https://github.com/helmholtz-analytics/heat/pull/846) New features `norm`, `vector_norm`, `matrix_norm`
- [850](https://github.com/helmholtz-analytics/heat/pull/850) New Feature `cross`
- [877](https://github.com/helmholtz-analytics/heat/pull/877) New feature `det`
- [875](https://github.com/helmholtz-analytics/heat/pull/875) New feature `inv`
Logical
- [862](https://github.com/helmholtz-analytics/heat/pull/862) New feature `signbit`
<a name="manipulations"></a> Manipulations
- [829](https://github.com/helmholtz-analytics/heat/pull/829) New feature: `roll`
- [853](https://github.com/helmholtz-analytics/heat/pull/853) New Feature: `swapaxes`
- [854](https://github.com/helmholtz-analytics/heat/pull/854) New Feature: `moveaxis`
Printing
- [816](https://github.com/helmholtz-analytics/heat/pull/816) New feature: Local printing (`ht.local_printing()`) and global printing options
- [816](https://github.com/helmholtz-analytics/heat/pull/816) New feature: print only on process 0 with `print0(...)` and `ht.print0(...)`
Random
- [858](https://github.com/helmholtz-analytics/heat/pull/858) New Feature: `standard_normal`, `normal`
Rounding
- [827](https://github.com/helmholtz-analytics/heat/pull/827) New feature: `sign`, `sgn`
Statistics
- [928](https://github.com/helmholtz-analytics/heat/pull/928) New feature: `bucketize`, `digitize`
General
- [876](https://github.com/helmholtz-analytics/heat/pull/876) Fix examples (Lasso and kNN)
- [894](https://github.com/helmholtz-analytics/heat/pull/894) Change inclusion of license file
- [948](https://github.com/helmholtz-analytics/heat/pull/948) Improve CSV write performance.
- [960](https://github.com/helmholtz-analytics/heat/pull/960) Bypass unnecessary communication by replacing `factories.array` with` DNDarray` contruct in random.py

- [864](https://github.com/helmholtz-analytics/heat/pull/864) Dependencies: constrain `torchvision` version range to match supported `pytorch` version range.

Highlights
- Slicing/indexing overhaul for a more NumPy-like user experience. Warning for distributed arrays: [breaking change!](breaking-changes) Indexing one element along the distribution axis now implies the indexed element is communicated to all processes.
- More flexibility in handling non-load-balanced distributed arrays.
- More distributed operations, incl. [meshgrid](https://github.com/helmholtz-analytics/heat/pull/794).

Breaking Changes
- [758](https://github.com/helmholtz-analytics/heat/pull/758) Indexing a distributed `DNDarray` along the `DNDarray.split` dimension now returns a non-distributed `DNDarray`, i.e. the indexed element is MPI-broadcasted.
Example on 2 processes:
python
a = ht.arange(5 * 5, split=0).reshape((5, 5))
print(a.larray)
>>> [0] tensor([[ 0, 1, 2, 3, 4],
>>> [0] [ 5, 6, 7, 8, 9],
>>> [0] [10, 11, 12, 13, 14]], dtype=torch.int32)
>>> [1] tensor([[15, 16, 17, 18, 19],
>>> [1] [20, 21, 22, 23, 24]], dtype=torch.int32)
b = a[:, 2]
print(b.larray)
>>> [0] tensor([ 2, 7, 12], dtype=torch.int32)
>>> [1] tensor([17, 22], dtype=torch.int32)
print(b.shape)
>>> [0] (5,)
>>> [1] (5,)
print(b.split)
>>> [0] 0
>>> [1] 0
c = a[4]
print(c.larray)
>>> [0] tensor([20, 21, 22, 23, 24], dtype=torch.int32)
>>> [1] tensor([20, 21, 22, 23, 24], dtype=torch.int32)
print(c.shape)
>>> [0] (5,)
>>> [1] (5,)
print(c.split)
>>> [0] None
>>> [1] None


Bug Fixes
- [758](https://github.com/helmholtz-analytics/heat/pull/758) Fix indexing inconsistencies in `DNDarray.__getitem__()`
- [768](https://github.com/helmholtz-analytics/heat/pull/768) Fixed an issue where `deg2rad` and `rad2deg`are not working with the 'out' parameter.
- [785](https://github.com/helmholtz-analytics/heat/pull/785) Removed `storage_offset` when finding the mpi buffer (`communication. MPICommunication.as_mpi_memory()`).
- [785](https://github.com/helmholtz-analytics/heat/pull/785) added allowance for 1 dimensional non-contiguous local tensors in `communication. MPICommunication.mpi_type_and_elements_of()`
- [787](https://github.com/helmholtz-analytics/heat/pull/787) Fixed an issue where Heat cannot be imported when some optional dependencies are not available.
- [790](https://github.com/helmholtz-analytics/heat/pull/790) catch incorrect device after `bcast` in `DNDarray.__getitem__`
- [796](https://github.com/helmholtz-analytics/heat/pull/796) `heat.reshape(a, shape, new_split)` now always returns a distributed `DNDarray` if `new_split is not None` (inlcuding when the original input `a` is not distributed)
- [811](https://github.com/helmholtz-analytics/heat/pull/811) Fixed memory leak in `DNDarray.larray`
- [820](https://github.com/helmholtz-analytics/heat/pull/820) `randn` values are pushed away from 0 by the minimum value the given dtype before being transformed into the Gaussian shape
- [821](https://github.com/helmholtz-analytics/heat/pull/821) Fixed `__getitem__` handling of distributed `DNDarray` key element
- [831](https://github.com/helmholtz-analytics/heat/pull/831) `__getitem__` handling of `array-like` 1-element key

Feature additions
Exponential
- [812](https://github.com/helmholtz-analytics/heat/pull/712) New feature: `logaddexp`, `logaddexp2`

Linear Algebra
- [718](https://github.com/helmholtz-analytics/heat/pull/718) New feature: `trace()`
- [768](https://github.com/helmholtz-analytics/heat/pull/768) New feature: unary positive and negative operations
- [820](https://github.com/helmholtz-analytics/heat/pull/820) `dot` can handle matrix-vector operation now

Manipulations
- [796](https://github.com/helmholtz-analytics/heat/pull/796) `DNDarray.reshape(shape)`: method now allows shape elements to be passed in as single arguments.

Trigonometrics / Arithmetic
- [806](https://github.com/helmholtz-analytics/heat/pull/809) New feature: `square`
- [809](https://github.com/helmholtz-analytics/heat/pull/809) New feature: `acosh`, `asinh`, `atanh`

Misc.
- [761](https://github.com/helmholtz-analytics/heat/pull/761) New feature: `result_type`
- [788](https://github.com/helmholtz-analytics/heat/pull/788) Added the partition interface `DNDarray` for use with DPPY
- [794](https://github.com/helmholtz-analytics/heat/pull/794) New feature: `meshgrid`
- [821](https://github.com/helmholtz-analytics/heat/pull/821) Enhancement: it is no longer necessary to load-balance an imbalanced `DNDarray` before gathering it onto all processes. In short: `ht.resplit(array, None)` now works on imbalanced arrays as well.

New features / Highlights
- [660](https://github.com/helmholtz-analytics/heat/pull/660) NN module for data parallel neural networks
- [699](https://github.com/helmholtz-analytics/heat/pull/699) Support for complex numbers; New functions: `angle`, `real`, `imag`, `conjugate`
- [702](https://github.com/helmholtz-analytics/heat/pull/702) Support channel stackoverflow
- [728](https://github.com/helmholtz-analytics/heat/pull/728) `DASO` optimizer
- [757](https://github.com/helmholtz-analytics/heat/pull/757) Major documentation overhaul, custom docstrings formatting

Bug fixes
- [706](https://github.com/helmholtz-analytics/heat/pull/706) Bug fix: prevent `__setitem__`, `__getitem__` from modifying key in place
- [709](https://github.com/helmholtz-analytics/heat/pull/709) Set the encoding for README.md in setup.py explicitly.
- [716](https://github.com/helmholtz-analytics/heat/pull/716) Bugfix: Finding clusters by spectral gap fails when multiple diffs identical
- [732](https://github.com/helmholtz-analytics/heat/pull/732) Corrected logic in `DNDarray.__getitem__` to produce the correct split axis
- [734](https://github.com/helmholtz-analytics/heat/pull/734) Fix division by zero error in `__local_op` with out != None on empty local arrays.
- [735](https://github.com/helmholtz-analytics/heat/pull/735) Set return type to bool in relational functions.
- [744](https://github.com/helmholtz-analytics/heat/pull/744) Fix split semantics for reduction operations
- [756](https://github.com/helmholtz-analytics/heat/pull/756) Keep track of sent items while balancing within `sort()`
- [764](https://github.com/helmholtz-analytics/heat/pull/764) Fixed an issue where `repr` was giving the wrong output.
- [767](https://github.com/helmholtz-analytics/heat/pull/767) Corrected `std` to not use numpy

DNDarray
- [680](https://github.com/helmholtz-analytics/heat/pull/680) New property: `larray`: extract local torch.Tensor
- [683](https://github.com/helmholtz-analytics/heat/pull/683) New properties: `nbytes`, `gnbytes`, `lnbytes`
- [687](https://github.com/helmholtz-analytics/heat/pull/687) New property: `balanced`

Factories
- [707](https://github.com/helmholtz-analytics/heat/pull/707) New feature: `asarray()`

I/O
- [559](https://github.com/helmholtz-analytics/heat/pull/559) Enhancement: `save_netcdf` allows naming dimensions, creating unlimited dimensions, using existing dimensions and variables, slicing

Linear Algebra
- [658](https://github.com/helmholtz-analytics/heat/pull/658) Bugfix: `matmul` on GPU will cast away from `int`s to `float`s for the operation and cast back upon its completion. This may result in numerical inaccuracies for very large `int64` DNDarrays

Logical
- [711](https://github.com/helmholtz-analytics/heat/pull/711) `isfinite()`, `isinf()`, `isnan()`
- [743](https://github.com/helmholtz-analytics/heat/pull/743) `isneginf()`, `isposinf()`

Manipulations
- [677](https://github.com/helmholtz-analytics/heat/pull/677) New features: `split`, `vsplit`, `dsplit`, `hsplit`
- [690](https://github.com/helmholtz-analytics/heat/pull/690) New feature: `ravel`
- [690](https://github.com/helmholtz-analytics/heat/pull/690) Enhancement: `reshape` accepts shape arguments with one unknown dimension
- [690](https://github.com/helmholtz-analytics/heat/pull/690) Enhancement: reshape accepts shape arguments with one unknown dimension.
- [706](https://github.com/helmholtz-analytics/heat/pull/706) Bug fix: prevent `__setitem__`, `__getitem__` from modifying key in place

Neural Networks
- [660](https://github.com/helmholtz-analytics/heat/pull/660) New submodule: `nn.DataParallel` for creating and training data parallel neural networks
- [660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: Synchronous and Asynchronous gradient updates availble for `ht.nn.DataParallel`
- [660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: `utils.data.datatools.DataLoader` for created a local `torch.utils.data.Dataloader` for use with `ht.nn.DataParallel`
- [660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: `utils.data.datatools.Dataset` for created a local `torch.utils.data.Dataset` for use with `ht.nn.DataParallel`
- [660](https://github.com/helmholtz-analytics/heat/pull/660) Added MNIST example to `example/nn` to show the use of `ht.nn.DataParallel`. The `MNISTDataset` can be found in `ht.utils.data.mnist.py`
- [660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: Data loader for H5 datasets which shuffles data in the background during training (`utils.data.partial_dataset.PartialH5Dataset`)
- [728](https://github.com/helmholtz-analytics/heat/pull/728) New feature: `nn.DataParallelMultiGPU` which uses `torch.distributed` for local communication (for use with `optim.DASO`)
- [728](https://github.com/helmholtz-analytics/heat/pull/728) New feature: `optim.DetectMetricPlateau` detects when a given metric plateaus.

Relational
- [792](https://github.com/helmholtz-analytics/heat/pull/792) API extension (aliases): `greater`,`greater_equal`, `less`, `less_equal`, `not_equal`

Statistical Functions
- [679](https://github.com/helmholtz-analytics/heat/pull/679) New feature: ``histc()`` and ``histogram()``

Types
- [712](https://github.com/helmholtz-analytics/heat/pull/712) New function: `issubdtype`
- [738](https://github.com/helmholtz-analytics/heat/pull/738) `iscomplex()`, `isreal()`


Bug fixes
- [709](https://github.com/helmholtz-analytics/heat/pull/709) Set the encoding for README.md in setup.py explicitly.
- [716](https://github.com/helmholtz-analytics/heat/pull/716) Bugfix: Finding clusters by spectral gap fails when multiple diffs identical
- [732](https://github.com/helmholtz-analytics/heat/pull/732) Corrected logic in `DNDarray.__getitem__` to produce the correct split axis
- [734](https://github.com/helmholtz-analytics/heat/pull/734) Fix division by zero error in `__local_op` with out != None on empty local arrays.
- [735](https://github.com/helmholtz-analytics/heat/pull/735) Set return type to bool in relational functions.
- [744](https://github.com/helmholtz-analytics/heat/pull/744) Fix split semantics for reduction operations
- [756](https://github.com/helmholtz-analytics/heat/pull/756) Keep track of sent items while balancing within `sort()`
- [764](https://github.com/helmholtz-analytics/heat/pull/764) Fixed an issue where `repr` was giving the wrong output.

Enhancements
Manipulations
- [690](https://github.com/helmholtz-analytics/heat/pull/690) Enhancement: reshape accepts shape arguments with one unknown dimension.
- [706](https://github.com/helmholtz-analytics/heat/pull/706) Bug fix: prevent `__setitem__`, `__getitem__` from modifying key in place
Unit testing / CI
- [717](https://github.com/helmholtz-analytics/heat/pull/717) Switch CPU CI over to Jenkins and pre-commit to GitHub action.
- [720](https://github.com/helmholtz-analytics/heat/pull/720) Ignore test files in codecov report and allow drops in code coverage.
- [725](https://github.com/helmholtz-analytics/heat/pull/725) Add tests for expected warnings.
- [736](https://github.com/helmholtz-analytics/heat/pull/736) Reference Jenkins CI tests and set development status to Beta.

- [678](https://github.com/helmholtz-analytics/heat/pull/678) Bugfix: Internal functions now use explicit device parameters for DNDarray and torch.Tensor initializations.
- [684](https://github.com/helmholtz-analytics/heat/pull/684) Bug fix: distributed `reshape` now works on booleans as well.

- [488](https://github.com/helmholtz-analytics/heat/pull/488) Enhancement: Rework of the test device selection.
- [569](https://github.com/helmholtz-analytics/heat/pull/569) New feature: distributed `percentile()` and `median()`
- [572](https://github.com/helmholtz-analytics/heat/pull/572) New feature: distributed `pad()`
- [573](https://github.com/helmholtz-analytics/heat/pull/573) Bugfix: matmul fixes: early out for 2 vectors, remainders not added if inner block is 1 for split 10 case
- [575](https://github.com/helmholtz-analytics/heat/pull/558) Bugfix: Binary operations use proper type casting
- [575](https://github.com/helmholtz-analytics/heat/pull/558) Bugfix: ``where()`` and ``cov()`` convert ints to floats when given as parameters
- [577](https://github.com/helmholtz-analytics/heat/pull/577) Add ``DNDarray.ndim`` property
- [578](https://github.com/helmholtz-analytics/heat/pull/578) Bugfix: Bad variable in ``reshape()``
- [580](https://github.com/helmholtz-analytics/heat/pull/580) New feature: distributed ``fliplr()``
- [581](https://github.com/helmholtz-analytics/heat/pull/581) New Feature: ``DNDarray.tolist()``
- [583](https://github.com/helmholtz-analytics/heat/pull/583) New feature: distributed ``rot90()``
- [593](https://github.com/helmholtz-analytics/heat/pull/593) New feature distributed ``arctan2()``
- [594](https://github.com/helmholtz-analytics/heat/pull/594) New feature: Advanced indexing
- [594](https://github.com/helmholtz-analytics/heat/pull/594) Bugfix: distributed ``__getitem__`` and ``__setitem__`` memory consumption heavily reduced
- [596](https://github.com/helmholtz-analytics/heat/pull/596) New feature: distributed ``outer()``
- [598](https://github.com/helmholtz-analytics/heat/pull/598) Type casting changed to PyTorch style casting (i.e. intuitive casting) instead of safe casting
- [600](https://github.com/helmholtz-analytics/heat/pull/600) New feature: ``shape()``
- [608](https://github.com/helmholtz-analytics/heat/pull/608) New features: distributed ``stack()``, ``column_stack()``, ``row_stack()``
- [614](https://github.com/helmholtz-analytics/heat/pull/614) New feature: printing of DNDarrays and ``__repr__`` and ``__str__`` functions
- [615](https://github.com/helmholtz-analytics/heat/pull/615) New feature: distributed `skew()`
- [615](https://github.com/helmholtz-analytics/heat/pull/615) New feature: distributed `kurtosis()`
- [618](https://github.com/helmholtz-analytics/heat/pull/618) Printing of unbalanced DNDarrays added
- [620](https://github.com/helmholtz-analytics/heat/pull/620) New feature: distributed `knn`
- [624](https://github.com/helmholtz-analytics/heat/pull/624) Bugfix: distributed `median()` indexing and casting
- [629](https://github.com/helmholtz-analytics/heat/pull/629) New features: distributed `asin`, `acos`, `atan`, `atan2`
- [631](https://github.com/helmholtz-analytics/heat/pull/631) Bugfix: get_halo behaviour when rank has no data.
- [634](https://github.com/helmholtz-analytics/heat/pull/634) New features: distributed `kmedians`, `kmedoids`, `manhattan`
- [633](https://github.com/helmholtz-analytics/heat/pull/633) Documentation: updated contributing.md
- [635](https://github.com/helmholtz-analytics/heat/pull/635) `DNDarray.__getitem__` balances and resplits the given key to None if the key is a DNDarray
- [638](https://github.com/helmholtz-analytics/heat/pull/638) Fix: arange returns float32 with single input of type float & update skipped device tests
- [639](https://github.com/helmholtz-analytics/heat/pull/639) Bugfix: balanced array in demo_knn, changed behaviour of knn
- [648](https://github.com/helmholtz-analytics/heat/pull/648) Bugfix: tensor printing with PyTorch 1.6.0
- [651](https://github.com/helmholtz-analytics/heat/pull/651) Bugfix: `NotImplemented` is now `NotImplementedError` in `core.communication.Communication` base class
- [652](https://github.com/helmholtz-analytics/heat/pull/652) Feature: benchmark scripts and jobscript generation
- [653](https://github.com/helmholtz-analytics/heat/pull/653) Printing above threshold gathers the data without a buffer now
- [653](https://github.com/helmholtz-analytics/heat/pull/653) Bugfixes: Update unittests argmax & argmin + force index order in mpi_argmax & mpi_argmin. Add device parameter for tensor creation in dndarray.get_halo().
- [659](https://github.com/helmholtz-analytics/heat/pull/659) New feature: distributed `random.permutation` + `random.randperm`
- [662](https://github.com/helmholtz-analytics/heat/pull/662) Bugfixes: `minimum()` and `maximum()` split semantics, scalar input, different input dtype
- [664](https://github.com/helmholtz-analytics/heat/pull/664) New feature / enhancement: distributed `random.random_sample`, `random.random`, `random.sample`, `random.ranf`, `random.random_integer`
- [666](https://github.com/helmholtz-analytics/heat/pull/666) New feature: distributed prepend/append for `diff()`.
- [667](https://github.com/helmholtz-analytics/heat/pull/667) Enhancement `reshape`: rename axis parameter
- [678](https://github.com/helmholtz-analytics/heat/pull/678) New feature: distributed `tile`
- [670](https://github.com/helmholtz-analytics/heat/pull/670) New Feature: `bincount()`
- [674](https://github.com/helmholtz-analytics/heat/pull/674) New feature: `repeat`
- [670](https://github.com/helmholtz-analytics/heat/pull/670) New Feature: distributed `bincount()`
- [672](https://github.com/helmholtz-analytics/heat/pull/672) Bug / Enhancement: Remove `MPIRequest.wait()`, rewrite calls with capital letters. lower case `wait()` now falls back to the `mpi4py` function

- Update documentation theme to "Read the Docs"
- [429](https://github.com/helmholtz-analytics/heat/pull/429) Create submodule for Linear Algebra functions
- [429](https://github.com/helmholtz-analytics/heat/pull/429) Implemented QR
- [429](https://github.com/helmholtz-analytics/heat/pull/429) Implemented a tiling class to create Square tiles along the diagonal of a 2D matrix
- [429](https://github.com/helmholtz-analytics/heat/pull/429) Added PyTorch Jitter to inner function of matmul for increased speed
- [483](https://github.com/helmholtz-analytics/heat/pull/483) Bugfix: Underlying torch tensor moves to the right device on array initialisation
- [483](https://github.com/helmholtz-analytics/heat/pull/483) Bugfix: DNDarray.cpu() changes heat device to cpu
- [496](https://github.com/helmholtz-analytics/heat/pull/496) New feature: flipud()
- [498](https://github.com/helmholtz-analytics/heat/pull/498) Feature: flip()
- [499](https://github.com/helmholtz-analytics/heat/pull/499) Bugfix: MPI datatype mapping: `torch.int16` now maps to `MPI.SHORT` instead of `MPI.SHORT_INT`
- [501](https://github.com/helmholtz-analytics/heat/pull/501) New Feature: flatten
- [506](https://github.com/helmholtz-analytics/heat/pull/506) Bugfix: setup.py has correct version parsing
- [507](https://github.com/helmholtz-analytics/heat/pull/507) Bugfix: sanitize_axis changes axis of 0-dim scalars to None
- [511](https://github.com/helmholtz-analytics/heat/pull/511) New feature: reshape
- [515](https://github.com/helmholtz-analytics/heat/pull/515) ht.var() now returns the unadjusted sample variance by default, Bessel's correction can be applied by setting ddof=1.
- [518](https://github.com/helmholtz-analytics/heat/pull/518) Implementation of Spectral Clustering.
- [519](https://github.com/helmholtz-analytics/heat/pull/519) Bugfix: distributed slicing with empty list or scalar as input; distributed nonzero() of empty (local) tensor.
- [520](https://github.com/helmholtz-analytics/heat/pull/520) Bugfix: Resplit returns correct values now.
- [520](https://github.com/helmholtz-analytics/heat/pull/520) Feature: SplitTiles class, used in new resplit, tiles with theoretical and actual split axes
- [521](https://github.com/helmholtz-analytics/heat/pull/521) Add documentation for the dtype reduce_op in Heat's core
- [522](https://github.com/helmholtz-analytics/heat/pull/522) Added CUDA-aware MPI detection for MVAPICH, MPICH and ParaStation.
- [524](https://github.com/helmholtz-analytics/heat/pull/524) New Feature: cumsum & cumprod
- [526](https://github.com/helmholtz-analytics/heat/pull/526) float32 is now consistent default dtype for factories.
- [531](https://github.com/helmholtz-analytics/heat/pull/531) Tiling objects are not separate from the DNDarray
- [534](https://github.com/helmholtz-analytics/heat/pull/534) `eye()` supports all 2D split combinations and matrix configurations.
- [535](https://github.com/helmholtz-analytics/heat/pull/535) Introduction of BaseEstimator and clustering, classification and regression mixins.
- [536](https://github.com/helmholtz-analytics/heat/pull/536) Getting rid of the docs folder
- [541](https://github.com/helmholtz-analytics/heat/pull/541) Introduction of basic halo scheme for inter-rank operations
- [558](https://github.com/helmholtz-analytics/heat/pull/558) `sanitize_memory_layout` assumes default memory layout of the input tensor
- [558](https://github.com/helmholtz-analytics/heat/pull/558) Support for PyTorch 1.5.0 added
- [562](https://github.com/helmholtz-analytics/heat/pull/562) Bugfix: split semantics of ht.squeeze()
- [567](https://github.com/helmholtz-analytics/heat/pull/567) Bugfix: split differences for setitem are now assumed to be correctly given, error will come from torch upon the setting of the value