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cudaPackagesGoogle: deprecate as only used by tensorflow
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@ -22,7 +22,7 @@
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, tensorboard
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, config
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, cudaSupport ? config.cudaSupport
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, cudaPackagesGoogle
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, cudaPackages
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, zlib
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, python
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, keras-applications
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@ -43,7 +43,7 @@ assert ! (stdenv.isDarwin && cudaSupport);
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let
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packages = import ./binary-hashes.nix;
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inherit (cudaPackagesGoogle) cudatoolkit cudnn;
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inherit (cudaPackages) cudatoolkit cudnn;
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in buildPythonPackage {
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pname = "tensorflow" + lib.optionalString cudaSupport "-gpu";
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inherit (packages) version;
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@ -199,10 +199,6 @@ in buildPythonPackage {
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"tensorflow.python.framework"
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];
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passthru = {
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cudaPackages = cudaPackagesGoogle;
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};
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meta = with lib; {
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description = "Computation using data flow graphs for scalable machine learning";
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homepage = "http://tensorflow.org";
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@ -19,8 +19,8 @@
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# https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/iRCt5m4qUz0
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, config
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, cudaSupport ? config.cudaSupport
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, cudaPackagesGoogle
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, cudaCapabilities ? cudaPackagesGoogle.cudaFlags.cudaCapabilities
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, cudaPackages
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, cudaCapabilities ? cudaPackages.cudaFlags.cudaCapabilities
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, mklSupport ? false, mkl
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, tensorboardSupport ? true
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# XLA without CUDA is broken
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@ -50,15 +50,15 @@ let
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# __ZN4llvm11SmallPtrSetIPKNS_10AllocaInstELj8EED1Ev in any of the
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# translation units, so the build fails at link time
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stdenv =
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if cudaSupport then cudaPackagesGoogle.backendStdenv
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if cudaSupport then cudaPackages.backendStdenv
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else if originalStdenv.isDarwin then llvmPackages.stdenv
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else originalStdenv;
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inherit (cudaPackagesGoogle) cudatoolkit nccl;
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inherit (cudaPackages) cudatoolkit nccl;
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# use compatible cuDNN (https://www.tensorflow.org/install/source#gpu)
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# cudaPackages.cudnn led to this:
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# https://github.com/tensorflow/tensorflow/issues/60398
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cudnnAttribute = "cudnn_8_6";
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cudnn = cudaPackagesGoogle.${cudnnAttribute};
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cudnn = cudaPackages.${cudnnAttribute};
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gentoo-patches = fetchzip {
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url = "https://dev.gentoo.org/~perfinion/patches/tensorflow-patches-2.12.0.tar.bz2";
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hash = "sha256-SCRX/5/zML7LmKEPJkcM5Tebez9vv/gmE4xhT/jyqWs=";
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@ -490,8 +490,8 @@ let
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broken =
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stdenv.isDarwin
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|| !(xlaSupport -> cudaSupport)
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|| !(cudaSupport -> builtins.hasAttr cudnnAttribute cudaPackagesGoogle)
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|| !(cudaSupport -> cudaPackagesGoogle ? cudatoolkit);
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|| !(cudaSupport -> builtins.hasAttr cudnnAttribute cudaPackages)
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|| !(cudaSupport -> cudaPackages ? cudatoolkit);
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} // lib.optionalAttrs stdenv.isDarwin {
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timeout = 86400; # 24 hours
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maxSilent = 14400; # 4h, double the default of 7200s
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@ -594,7 +594,6 @@ in buildPythonPackage {
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# Regression test for #77626 removed because not more `tensorflow.contrib`.
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passthru = {
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cudaPackages = cudaPackagesGoogle;
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deps = bazel-build.deps;
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libtensorflow = bazel-build.out;
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};
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@ -3,7 +3,6 @@
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recurseIntoAttrs,
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cudaPackages,
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cudaPackagesGoogle,
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cudaPackages_10_0,
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cudaPackages_10_1,
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@ -7136,10 +7136,6 @@ with pkgs;
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cudaPackages_12_3 = callPackage ./cuda-packages.nix { cudaVersion = "12.3"; };
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cudaPackages_12 = cudaPackages_12_2; # Latest supported by cudnn
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# Use the older cudaPackages for tensorflow and jax, as determined by cudnn
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# compatibility: https://www.tensorflow.org/install/source#gpu
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cudaPackagesGoogle = cudaPackages_11;
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cudaPackages = recurseIntoAttrs cudaPackages_12;
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# TODO: move to alias
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@ -14879,6 +14879,8 @@ self: super: with self; {
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tensorflow-bin = callPackage ../development/python-modules/tensorflow/bin.nix {
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inherit (pkgs.config) cudaSupport;
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# https://www.tensorflow.org/install/source#gpu
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cudaPackages = pkgs.cudaPackages_11;
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};
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tensorflow-build = let
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@ -14886,6 +14888,8 @@ self: super: with self; {
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protobufTF = pkgs.protobuf_21.override {
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abseil-cpp = pkgs.abseil-cpp_202301;
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};
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# https://www.tensorflow.org/install/source#gpu
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cudaPackagesTF = pkgs.cudaPackages_11;
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grpcTF = (pkgs.grpc.overrideAttrs (
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oldAttrs: rec {
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# nvcc fails on recent grpc versions, so we use the latest patch level
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@ -14931,6 +14935,7 @@ self: super: with self; {
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inherit (pkgs.darwin.apple_sdk.frameworks) Foundation Security;
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flatbuffers-core = pkgs.flatbuffers;
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flatbuffers-python = self.flatbuffers;
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cudaPackages = compat.cudaPackagesTF;
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protobuf-core = compat.protobufTF;
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protobuf-python = compat.protobuf-pythonTF;
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grpc = compat.grpcTF;
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