Merge branch 'ershi/update-changelog-links' into 'main'

Fix some CHANGELOG links

See merge request omniverse/warp!544

CHANGELOG.md

@@ -314,14 +314,14 @@
 - Fix for incorrect lower-case when setting USD stage "up_axis" in examples
 - Fix for incompatible gradient types when wrapping PyTorch tensor as a vector or matrix type
 - Fix for adding open edges when building cloth constraints from meshes in `wp.sim.ModelBuilder.add_cloth_mesh()`
-- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://omniverse.gitlab-master-pages.nvidia.com/usdrt/docs/usdrt_prim_selection.html for examples
+- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://docs.omniverse.nvidia.com/kit/docs/usdrt/latest/docs/usdrt_prim_selection.html for examples
 - Add support for user defined gradient functions, see `@wp.func_replay`, and `@wp.func_grad` decorators
 - Add support for more OG attribute types in `omni.warp.from_omni_graph()`
 - Add support for creating NanoVDB `wp.Volume` objects from dense NumPy arrays
 - Add support for `wp.volume_sample_grad_f()` which returns the value + gradient efficiently from an NVDB volume
 - Add support for LLVM fp16 intrinsics for half-precision arithmetic
 - Add implementation of stochastic gradient descent, see `wp.optim.SGD`
-- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/_build/html/modules/fem.html)
+- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/modules/fem.html)
 - Optimizations for `omni.warp` extension load time (2.2s to 625ms cold start)
 - Make all `omni.ui` dependencies optional so that Warp unit tests can run headless
 - Deprecation of `wp.tid()` outside of kernel functions, users should pass `tid()` values to `wp.func` functions explicitly

exts/omni.warp.core/docs/CHANGELOG.md

@@ -292,14 +292,14 @@
 - Fix for incorrect lower-case when setting USD stage "up_axis" in examples
 - Fix for incompatible gradient types when wrapping PyTorch tensor as a vector or matrix type
 - Fix for adding open edges when building cloth constraints from meshes in `wp.sim.ModelBuilder.add_cloth_mesh()`
-- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://omniverse.gitlab-master-pages.nvidia.com/usdrt/docs/usdrt_prim_selection.html for examples
+- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://docs.omniverse.nvidia.com/kit/docs/usdrt/latest/docs/usdrt_prim_selection.html for examples
 - Add support for user defined gradient functions, see `@wp.func_replay`, and `@wp.func_grad` decorators
 - Add support for more OG attribute types in `omni.warp.from_omni_graph()`
 - Add support for creating NanoVDB `wp.Volume` objects from dense NumPy arrays
 - Add support for `wp.volume_sample_grad_f()` which returns the value + gradient efficiently from an NVDB volume
 - Add support for LLVM fp16 intrinsics for half-precision arithmetic
 - Add implementation of stochastic gradient descent, see `wp.optim.SGD`
-- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/_build/html/modules/fem.html)
+- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/modules/fem.html)
 - Optimizations for `omni.warp` extension load time (2.2s to 625ms cold start)
 - Make all `omni.ui` dependencies optional so that Warp unit tests can run headless
 - Deprecation of `wp.tid()` outside of kernel functions, users should pass `tid()` values to `wp.func` functions explicitly

exts/omni.warp/docs/CHANGELOG.md

@@ -292,14 +292,14 @@
 - Fix for incorrect lower-case when setting USD stage "up_axis" in examples
 - Fix for incompatible gradient types when wrapping PyTorch tensor as a vector or matrix type
 - Fix for adding open edges when building cloth constraints from meshes in `wp.sim.ModelBuilder.add_cloth_mesh()`
-- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://omniverse.gitlab-master-pages.nvidia.com/usdrt/docs/usdrt_prim_selection.html for examples
+- Add support for `wp.fabricarray` to directly access Fabric data from Warp kernels, see https://docs.omniverse.nvidia.com/kit/docs/usdrt/latest/docs/usdrt_prim_selection.html for examples
 - Add support for user defined gradient functions, see `@wp.func_replay`, and `@wp.func_grad` decorators
 - Add support for more OG attribute types in `omni.warp.from_omni_graph()`
 - Add support for creating NanoVDB `wp.Volume` objects from dense NumPy arrays
 - Add support for `wp.volume_sample_grad_f()` which returns the value + gradient efficiently from an NVDB volume
 - Add support for LLVM fp16 intrinsics for half-precision arithmetic
 - Add implementation of stochastic gradient descent, see `wp.optim.SGD`
-- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/_build/html/modules/fem.html)
+- Add `wp.fem` framework for solving weak-form PDE problems (see https://nvidia.github.io/warp/modules/fem.html)
 - Optimizations for `omni.warp` extension load time (2.2s to 625ms cold start)
 - Make all `omni.ui` dependencies optional so that Warp unit tests can run headless
 - Deprecation of `wp.tid()` outside of kernel functions, users should pass `tid()` values to `wp.func` functions explicitly