91 lines
2.1 KiB
Nix
91 lines
2.1 KiB
Nix
{ lib
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, fetchFromGitHub
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, bazel_0_26
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, buildBazelPackage
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, buildPythonPackage
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, git
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, python
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, six
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, absl-py
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, semantic-version
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, contextlib2
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, wrapt
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, tensorflow
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, tensorflow-probability
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, tensorflow-estimator
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}:
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let
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version = "1.33";
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# first build all binaries and generate setup.py using bazel
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bazel-build = buildBazelPackage {
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bazel = bazel_0_26;
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name = "dm-sonnet-bazel-${version}";
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src = fetchFromGitHub {
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owner = "deepmind";
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repo = "sonnet";
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rev = "v${version}";
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sha256 = "1nqsja1s8jrkq6v1whgh7smk17313mjr9vs3k5c1m8px4yblzhqc";
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};
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nativeBuildInputs = [
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git # needed to fetch the bazel deps (protobuf in particular)
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];
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# see https://github.com/deepmind/sonnet/blob/master/docs/INSTALL.md
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bazelTarget = ":install";
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fetchAttrs = {
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sha256 = "09dzxs2v5wpiaxrz7qj257q1fbx0gxwbk0jyx58n81m5kys7yj9k";
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};
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buildAttrs = {
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preBuild = ''
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patchShebangs .
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'';
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installPhase = ''
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# do not generate a wheel, instead just copy the generated files to $out to be installed by buildPythonPackage
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sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/install
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# the target directory "dist" does not actually matter since we're not generating a wheel
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bazel-bin/install dist
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'';
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};
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};
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# now use pip to install the package prepared by bazel
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in buildPythonPackage {
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pname = "dm-sonnet";
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inherit version;
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src = bazel-build;
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propagatedBuildInputs = [
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six
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absl-py
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semantic-version
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contextlib2
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wrapt
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tensorflow
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tensorflow-probability
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tensorflow-estimator
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];
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# not sure how to properly run the real test suite -- through bazel?
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checkPhase = ''
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${python.interpreter} -c "import sonnet"
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'';
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meta = with lib; {
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description = "TensorFlow-based neural network library";
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homepage = "https://sonnet.dev";
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license = licenses.asl20;
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maintainers = with maintainers; [ timokau ];
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platforms = platforms.linux;
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broken = true; # depends on older TensorFlow version than is currently packaged
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};
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}
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