[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