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New metal backend for apple systems. This is now the default backend for macos builds.
New onnx-dml backend to use DirectML under windows, has better net compatibility than dx12 and is faster than opencl. See the README for use instructions, a separate download of the DirectML dll is required.
Full attention policy support in cuda, cudnn, metal, onnx, blas, dnnl, and eigen backends.
Partial attention policy support in onednn backend (good enough for T79).
Non multigather (legacy) search code and --multigather option are removed.
Now the onnx backends can use fp16 when running with a network file (not with .onnx model files). This is the default for onnx-cuda and onnx-dml, can be switched on or off with by setting the fp16 backend option to true or false respectively.
The onednn package comes with the latest dnnl compiled to allow running on an intel gpu by adding gpu=0 to the backend options.
The default net is now 791556 for most backends except opencl and dx12 that get 753723 (as they lack attention policy support).
Support for using pgn book with long lines in training: selfplay can start at a random point in the book.
New "simple" time manager.
Support for double Fischer random chess (dfrc).
Added TC-dependent output to the backendbench assistant.
Starting with this version, the check backend compares policy for valid moves after softmax.
The onnx backend now allows selecting gpu to use.
Improved error messages for unsupported network files.
Some assorted fixes and code cleanups.
This discussion was created from the release v0.29.0.
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In this release:
--multigather
option are removed.fp16
backend option totrue
orfalse
respectively.gpu=0
to the backend options.This discussion was created from the release v0.29.0.
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