efficiently computing jacobians and hessians
computing per-sample-gradients (or other per-sample quantities)



We’re excited to announce that, as a first step towards closer integration with PyTorch, functorch has moved to inside the PyTorch library and no longer requires the installation of a separate functorch package. After installing PyTorch via conda or pip, you’ll be able to `import functorch’ in your program. Learn more with our detailed instructions, nightly and release notes.
(Beta) Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIs (ITT) integration