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gnu: python-pytorch-for-r-torch: Reuse python-pytorch.
* gnu/packages/machine-learning.scm (python-pytorch-for-r-torch): Use definition on python-pytorch, thereby updating to 1.10.2.
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@ -3034,52 +3034,7 @@ (define-public python-pytorch
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Note: currently this package does not provide GPU support.")
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(license license:bsd-3)))
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(define-public python-pytorch-for-r-torch
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(package
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(inherit python-pytorch)
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(name "python-pytorch")
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(version "1.9.0")
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/pytorch/pytorch")
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(commit (string-append "v" version))
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(recursive? #t)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"0cznsh68hwk5761gv7iijb4g6jgjpvs3bbixwpzzmkbkbn2q96c1"))
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(patches (search-patches "python-pytorch-1.9.0-system-libraries.patch"
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"python-pytorch-runpath.patch"))
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(modules '((guix build utils)))
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(snippet
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'(begin
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;; XXX: Let's be clear: this package is a bundling fest. We
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;; delete as much as we can, but there's still a lot left.
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(for-each (lambda (directory)
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(delete-file-recursively
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(string-append "third_party/" directory)))
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'("benchmark" "cpuinfo" "eigen"
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;; FIXME: QNNPACK (of which XNNPACK is a fork)
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;; needs these.
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;; "FP16" "FXdiv" "gemmlowp" "psimd"
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"gloo" "googletest" "ios-cmake" "NNPACK"
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"onnx" "protobuf" "pthreadpool"
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"pybind11" "python-enum" "python-peachpy"
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"python-six" "tbb" "XNNPACK" "zstd"))
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;; Adjust references to the onnx-optimizer headers.
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(substitute* "caffe2/onnx/backend.cc"
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(("onnx/optimizer/")
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"onnxoptimizer/"))))))
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(arguments
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(substitute-keyword-arguments (package-arguments python-pytorch)
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((#:phases phases '%standard-phases)
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`(modify-phases ,phases
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;; No module named 'onnx.optimizer'
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(delete 'sanity-check)))))))
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(define-public python-pytorch-for-r-torch python-pytorch)
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(define-public python-hmmlearn
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(package
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