Changelog

Source: NEWS.md

pjrt (development version)

Features

• The first time a PJRT plugin needs to be downloaded, interactive sessions now ask for confirmation before downloading (similar to torch). Non-interactive sessions no longer download automatically. The PJRT_INSTALL environment variable overrides this: set it to "1" to always download without asking, or "0" to never download.

Internal

• The test suite now only runs when the PJRT_TEST environment variable is set to "1", so it is skipped on CRAN (where the required PJRT plugin cannot be downloaded). CI sets PJRT_TEST=1.

pjrt 0.4.0

Features

• Added QR, LU, SVD, and symmetric eigendecomposition support on both CPU and CUDA via the FFI registration mechanism.
• Added an vignette on how to register custom calls via the FFI registration mechanisms with coverage of both CUDA and CPU-specific aspects.
• Added support for the bit64 package to better support long integers.
• pjrt_buffer(), pjrt_scalar(), and as_array() gain a check argument (default FALSE). When TRUE, the call errors instead of silently losing information: on input if data contains NAs, on output if the materialized R vector contains a value that’s indistinguishable from NA or that has wrapped through the integer container.
• as_array() on a ui32 buffer now returns a bit64::integer64 instead of a base integer, so values >= 2^31 round-trip losslessly rather than wrapping to negative.

pjrt 0.3.0

Features

• Added buffer_copy() function to copy buffer between devices.
• New pjrt_register_custom_call() allows external packages to register C/C++ XLA FFI handlers with the PJRT plugin. Registration is deferred until the plugin loads, so handlers can be registered during .onLoad().
• pjrt_device() now returns cached PJRTDevice instances, so repeated calls for the same device yield objects with stable identity (useful for hashing and caching, e.g. in {anvil}’s JIT).

Bug fixes

• The configure script now uses the protoc compiler from the same installation as the linked protobuf library, preventing version mismatches when multiple protobuf versions are installed.
• Compiling a program for a specific CPU device (e.g. cpu:1) now targets that device instead of silently falling back to cpu:0.
• Fixed device targeting when compiling against a distributed PJRT client, where global device IDs and local hardware ordinals diverge.

Error messages

• Improved error message when attempting to use CUDA on unsupported OS or platform.

pjrt 0.2.0

Asynchronous API

Operations such as host <-> device transfers and program execution were previously only synchronous. Now, they are asynchronous which has considerable performance benefits, especially on GPU. Specifically:

• pjrt_buffer() and pjrt_execute() return immediately, but the returned buffer is not necessarily ready. To await a transfer or computation of a buffer, use await(). However, this is handled within PJRT, so this function never has to be called by a user.
• as_array() is still synchronous, but there is now the asynchronous version as_array_async() but this is rarely needed. If used, it returns a PJRTArrayPromise object which can be converted to an R array/vector via value().
• To check whether a PJRTBuffer or PJRTArrayPromise is ready, use is_ready().

Features

• Added dtype support for PJRTBuffers via the tengen::dtype S3 generic. "bool" is now accepted as an alias for "i1"/"pred".
• Accept DataType objects in the dtype parameter of pjrt_buffer().
• Support device argument in pjrt_compile().

Bug fixes

• Protect from segfaults in raw to buffer conversion.
• Protect from segfault during device mismatch in pjrt_execute().

Platforms & Installation

• Added support for Linux ARM (aarch64) using CPU backend.
• Simplified CUDA installation via the cuda12.8 package, which now only requires compatible drivers to be installed.

Miscellaneous

• The printer for PJRTBuffer now uses "bool" instead of "pred" to avoid discrepancies with {anvl}.

pjrt 0.1.1

Bug fixes

• Fix formatting of +-Inf/NaN for f64

pjrt 0.1.0

• Initial release