python3Packages.e3nn: init at 0.6.0
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@@ -0,0 +1,78 @@
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{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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setuptools,
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setuptools-scm,
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# dependencies
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opt-einsum-fx,
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scipy,
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sympy,
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torch,
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# tests
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pytestCheckHook,
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llvmPackages,
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}:
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buildPythonPackage (finalAttrs: {
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pname = "e3nn";
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version = "0.6.0";
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pyproject = true;
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__structuredAttrs = true;
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src = fetchFromGitHub {
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owner = "e3nn";
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repo = "e3nn";
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tag = finalAttrs.version;
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hash = "sha256-gGl0DiLU8w0jqGWA/ZzvkxdZdZCvtXqtmEEZ2dIwZ2o=";
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};
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build-system = [
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setuptools
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setuptools-scm
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];
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dependencies = [
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opt-einsum-fx
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scipy
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sympy
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torch
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];
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pythonImportsCheck = [ "e3nn" ];
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nativeCheckInputs = [
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pytestCheckHook
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];
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disabledTests = [
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# RuntimeError: torch.compile does not support compiling torch.jit.script or
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# torch.jit.freeze models directly
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"test_identity"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# symbol not found in flat namespace '___kmpc_barrier'
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"test_activation"
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"test_input_weights_jit"
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"test_variance"
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];
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propagatedBuildInputs = lib.optionals stdenv.hostPlatform.isDarwin [
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# Otherwise, torch will fail to include `omp.h`:
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# torch._inductor.exc.InductorError: CppCompileError: C++ compile error OpenMP support not found
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llvmPackages.openmp
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];
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meta = {
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description = "Modular framework for neural networks with Euclidean symmetry";
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homepage = "https://github.com/e3nn/e3nn";
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changelog = "https://github.com/e3nn/e3nn/releases/tag/${finalAttrs.src.tag}";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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};
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})
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@@ -4905,6 +4905,8 @@ self: super: with self; {
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e3-testsuite = callPackage ../development/python-modules/e3-testsuite { };
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e3nn = callPackage ../development/python-modules/e3nn { };
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eagle100 = callPackage ../development/python-modules/eagle100 { };
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earn-e-p1 = callPackage ../development/python-modules/earn-e-p1 { };
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