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@c0d1f1ed c0d1f1ed released this 04 Jul 19:07
· 824 commits to main since this release
v1.2.2
b62f1b8

[1.2.2] - 2024-07-04

  • Support for NumPy >= 2.0

[1.2.1] - 2024-06-14

  • Fix generic function caching
  • Fix Warp not being initialized when constructing arrays with wp.array()
  • Fix wp.is_mempool_access_supported() not resolving the provided device arguments to wp.context.Device

[1.2.0] - 2024-06-06

  • Add a not-a-number floating-point constant that can be used as wp.NAN or wp.nan.
  • Add wp.isnan(), wp.isinf(), and wp.isfinite() for scalars, vectors, matrices, etc.
  • Improve kernel cache reuse by hashing just the local module constants. Previously, a
    module's hash was affected by all wp.constant() variables declared in a Warp program.
  • Revised module compilation process to allow multiple processes to use the same kernel cache directory.
    Cached kernels will now be stored in hash-specific subdirectory.
  • Add runtime checks for wp.MarchingCubes on field dimensions and size
  • Fix memory leak in wp.Mesh BVH (GH-225)
  • Use C++17 when building the Warp library and user kernels
  • Increase PTX target architecture up to sm_75 (from sm_70), enabling Turing ISA features
  • Extended NanoVDB support (see warp.Volume):
    • Add support for data-agnostic index grids, allocation at voxel granularity
    • New wp.volume_lookup_index(), wp.volume_sample_index() and generic wp.volume_sample()/wp.volume_lookup()/wp.volume_store() kernel-level functions
    • Zero-copy aliasing of in-memory grids, support for multi-grid buffers
    • Grid introspection and blind data access capabilities
    • warp.fem can now work directly on NanoVDB grids using warp.fem.Nanogrid
    • Fixed wp.volume_sample_v() and wp.volume_store_*() adjoints
    • Prevent wp.volume_store() from overwriting grid background values
  • Improve validation of user-provided fields and values in warp.fem
  • Support headless rendering of wp.render.OpenGLRenderer via pyglet.options["headless"] = True
  • wp.render.RegisteredGLBuffer can fall back to CPU-bound copying if CUDA/OpenGL interop is not available
  • Clarify terms for external contributions, please see CONTRIBUTING.md for details
  • Improve performance of wp.sparse.bsr_mm() by ~5x on benchmark problems
  • Fix for XPBD incorrectly indexing into of joint actuations joint_act arrays
  • Fix for mass matrix gradients computation in wp.sim.FeatherstoneIntegrator()
  • Fix for handling of --msvc_path in build scripts
  • Fix for wp.copy() params to record dest and src offset parameters on wp.Tape()
  • Fix for wp.randn() to ensure return values are finite
  • Fix for slicing of arrays with gradients in kernels
  • Fix for function overload caching, ensure module is rebuilt if any function overloads are modified
  • Fix for handling of bool types in generic kernels
  • Publish CUDA 12.5 binaries for Hopper support, see https://github.com/nvidia/warp?tab=readme-ov-file#installing for details
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