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python3Packages.tensorly: init at 0.4.5
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45
pkgs/development/python-modules/tensorly/default.nix
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45
pkgs/development/python-modules/tensorly/default.nix
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{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, pytest
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, nose
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, isPy27
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, numpy
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, scipy
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, sparse
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, pytorch
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}:
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buildPythonPackage rec {
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pname = "tensorly";
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version = "0.4.5";
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disabled = isPy27;
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src = fetchFromGitHub {
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owner = pname;
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repo = pname;
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rev = version;
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sha256 = "1ml91yaxwx4msisxbm92yf22qfrscvk58f3z2r1jhi96pw2k4i7x";
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};
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propagatedBuildInputs = [ numpy scipy sparse ];
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checkInputs = [ pytest nose pytorch ];
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# also has a cupy backend, but the tests are currently broken
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# (e.g. attempts to access cupy.qr instead of cupy.linalg.qr)
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# and this backend also adds a non-optional CUDA dependence,
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# as well as tensorflow and mxnet backends, but the tests don't
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# seem to exercise these backend by default
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checkPhase = ''
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runHook preCheck
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nosetests -e "test_cupy"
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runHook postCheck
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'';
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meta = with lib; {
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description = "Tensor learning in Python";
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homepage = https://tensorly.org/;
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license = licenses.bsd3;
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maintainers = [ maintainers.bcdarwin ];
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};
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}
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@ -6581,6 +6581,8 @@ in {
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cudaSupport = true;
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cudaSupport = true;
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};
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};
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tensorly = callPackage ../development/python-modules/tensorly { };
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tflearn = callPackage ../development/python-modules/tflearn { };
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tflearn = callPackage ../development/python-modules/tflearn { };
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simpleai = callPackage ../development/python-modules/simpleai { };
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simpleai = callPackage ../development/python-modules/simpleai { };
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