[0.2.3] - 2022-06-13

• Fix for incorrect 4d array bounds checking
• Fix for wp.constant changes not updating module hash
• Fix for stale CUDA kernel cache when CPU kernels launched first
• Array gradients are now allocated along with the arrays and accessible as wp.array.grad, users should take care to always call wp.Tape.zero() to clear gradients between different invocations of wp.Tape.backward()
• Added wp.array.fill_() to set all entries to a scalar value (4-byte values only currently)

Breaking Changes

• Tape capture option has been removed, users can now capture tapes inside existing CUDA graphs (e.g.: inside Torch)
• Scalar loss arrays should now explicitly set requires_grad=True at creation time

[0.2.2] - 2022-05-30

• Fix for from import * inside Warp initialization
• Fix for body space velocity when using deforming Mesh objects with scale
• Fix for noise gradient discontinuities affecting wp.curlnoise()
• Fix for wp.from_torch() to correctly preserve shape
• Fix for URDF parser incorrectly passing density to scale parameter
• Optimizations for startup time from 3s -> 0.3s
• Add support for custom kernel cache location, Warp will now store generated binaries in the user's application directory
• Add support for cross-module function references, e.g.: call another modules @wp.func functions
• Add support for overloading @wp.func functions based on argument type
• Add support for calling built-in functions directly from Python interpreter outside kernels (experimental)
• Add support for auto-complete and docstring lookup for builtins in IDEs like VSCode, PyCharm, etc
• Add support for doing partial array copys, see wp.copy() for details
• Add support for accessing mesh data directly in kernels, see wp.mesh_get_point(), wp.mesh_get_index(), wp.mesh_eval_face_normal()
• Change to only compile for targets where kernel is launched (e.g.: will not compile CPU unless explicitly requested)

Breaking Changes

• Builtin methods such as wp.quat_identity() now call the Warp native implementation directly and will return a wp.quat object instead of NumPy array
• NumPy implementations of many builtin methods have been moved to warp.utils and will be deprecated
• Local @wp.func functions should not be namespaced when called, e.g.: previously wp.myfunc() would work even if myfunc() was not a builtin
• Removed wp.rpy2quat(), please use wp.quat_rpy() instead

[0.2.1] - 2022-05-11

• Fix for unit tests in Kit