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Tags: romesco/warp

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v1.6.2

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shi-eric Eric Shi
v1.6.2

Update project license from NVIDIA Software License to Apache License, Version 2.0

v1.6.1

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shi-eric Eric Shi
v1.6.1

Highlights:
- Fix unaligned loads with offset 2D tiles in `wp.tile_load()`.
- Fix FP64 accuracy of thread-level matrix-matrix multiplications.
- Fix per-vertex colors not being correctly written out to USD meshes when a
  constant color is being passed.
- Fix an error in capturing the `wp.sim.VBDIntegrator` with CUDA graphs when
  `handle_self_contact` is enabled.

See the full changelog for more details: https://github.com/NVIDIA/warp/releases/tag/v1.6.1

v1.6.0

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shi-eric Eric Shi
v1.6.0

Highlights:
- Add preview of Tile Cholesky factorization and solve APIs.
- Support for loading tiles from arrays whose shapes are not multiples of the tile dimensions.
- Support for higher-dimensional (up to 4D) tile shapes and memory operations.
- Add intersection-free self-contact support in wp.sim.VDBIntegrator.
- Support CUDA IPC on Linux.

See the full changelog for more details: https://github.com/NVIDIA/warp/releases/tag/v1.6.0

v1.5.1

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shi-eric Eric Shi
v1.5.1

Highlights:
- warp.sim: Fix a bug in which the color-balancing algorithm was not updating
  the colorings.
- Fix custom colors being not being updated when rendering meshes with
  static topology in OpenGL.
- Fix default arguments not being resolved for `wp.func` when called from
  Python's runtime.
- Fix the OpenGL renderer not being able to run without a CUDA device
  available.
- Fix incorrect CUDA driver function versions.

See the full changelog for more details: https://github.com/NVIDIA/warp/releases/tag/v1.5.1

v1.5.0

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shi-eric Eric Shi
v1.5.0

Highlights:
- Support for cooperative tile-based primitives using cuBLASDx and cuFFTDx
- Support for saving Volumes into `.nvdb` files with the `save_to_nvdb` method.
- Drop support for Python 3.7; Python 3.8 is now the minimum-supported version.
- warp.fem: Add Nédélec (first kind) and Raviart-Thomas vector-valued function spaces
  providing conforming discretization of `curl` and `div` operators, respectively.
- warp.sim: Add a graph coloring module that supports converting trimesh into a vertex graph and applying coloring.

See the full changelog for more details: https://github.com/NVIDIA/warp/releases/tag/v1.5.0

v1.4.2

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shi-eric Eric Shi
v1.4.2: Patch release with bug fixes

See CHANGELOG.md for details
- Make the output of `wp.print()` in backward kernels consistent for all
  supported data types.
- Fix printing vector and matrix adjoints in backward kernels.
- Fix kernel compile error when printing structs.
- Fix an incorrect user function being sometimes resolved when multiple
  overloads are available with array parameters with different `dtype` values.
- Fix error being raised when static and dynamic for-loops are written in
  sequence with the same iteration variable names (NVIDIA#331).
- Fix code generation of in-place multiplication and division operations
  (regression introduced in a69d061)(NVIDIA#342).

v1.4.1

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shi-eric Eric Shi
v1.4.1: Patch release with bug fixes

- Fix `iter_reverse()` not working as expected for ranges with steps other than 1 (NVIDIA#311).
- Fix potential out-of-bounds memory access when a `wp.sparse.BsrMatrix` object is reused for storing matrices of different shapes.
- Fix robustness to very low desired tolerance in `wp.fem.utils.symmetric_eigenvalues_qr`.
- Fix invalid code generation error messages when nesting dynamic and static for-loops.
- Fix caching of kernels with static expressions.
- Fix `ModelBuilder.add_builder(builder)` to correctly update `articulation_start` and thereby `articulation_count`
  when `builder` contains more than one articulation.
- Re-introduced the `wp.rand*()`, `wp.sample*()`, and `wp.poisson()` onto the Python scope to revert a breaking change.

v1.4.0

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shi-eric Eric Shi
v1.4.0: Feature release

See CHANGELOG.md for details
- Support for a new wp.static(expr) function that allows arbitrary
  Python expressions to be evaluated at the time of function/kernel
  definition
- Interoperability support for the PaddlePaddle ML framework
- Improved Jax interop support for sharding and matrix multiplication
- Numerous fixes related to kernel, function, and struct management

v1.3.3

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shi-eric Eric Shi
Release version 1.3.3 with bug fixes

v1.3.2

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shi-eric Eric Shi
Release version 1.3.2 with bug fixes