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python3Packages.mamba-ssm: init at 2.2.2
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parent
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commit
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69
pkgs/development/python-modules/causal-conv1d/default.nix
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69
pkgs/development/python-modules/causal-conv1d/default.nix
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@ -0,0 +1,69 @@
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{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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ninja,
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setuptools,
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torch,
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cudaPackages,
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rocmPackages,
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config,
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cudaSupport ? config.cudaSupport,
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which,
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}:
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buildPythonPackage rec {
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pname = "causal-conv1d";
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version = "1.4.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "Dao-AILab";
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repo = "causal-conv1d";
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rev = "refs/tags/v${version}";
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hash = "sha256-p5x5u3zEmEMN3mWd88o3jmcpKUnovTvn7I9jIOj/ie0=";
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};
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build-system = [
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ninja
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setuptools
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torch
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];
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nativeBuildInputs = [ which ];
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buildInputs = (
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lib.optionals cudaSupport (
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with cudaPackages;
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[
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cuda_cudart # cuda_runtime.h, -lcudart
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cuda_cccl
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libcusparse # cusparse.h
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libcusolver # cusolverDn.h
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cuda_nvcc
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libcublas
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]
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)
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);
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dependencies = [
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torch
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];
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# pytest tests not enabled due to nvidia GPU dependency
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pythonImportsCheck = [ "causal_conv1d" ];
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env = {
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CAUSAL_CONV1D_FORCE_BUILD = "TRUE";
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} // lib.optionalAttrs cudaSupport { CUDA_HOME = "${lib.getDev cudaPackages.cuda_nvcc}"; };
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meta = with lib; {
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description = "Causal depthwise conv1d in CUDA with a PyTorch interface";
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homepage = "https://github.com/Dao-AILab/causal-conv1d";
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license = licenses.bsd3;
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maintainers = with maintainers; [ cfhammill ];
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# The package requires CUDA or ROCm, the ROCm build hasn't
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# been completed or tested, so broken if not using cuda.
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broken = !cudaSupport;
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};
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}
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77
pkgs/development/python-modules/mamba-ssm/default.nix
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77
pkgs/development/python-modules/mamba-ssm/default.nix
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@ -0,0 +1,77 @@
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{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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causal-conv1d,
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einops,
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ninja,
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setuptools,
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torch,
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transformers,
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triton,
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cudaPackages,
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rocmPackages,
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config,
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cudaSupport ? config.cudaSupport,
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which,
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}:
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buildPythonPackage rec {
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pname = "mamba";
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version = "2.2.2";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "state-spaces";
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repo = "mamba";
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rev = "refs/tags/v${version}";
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hash = "sha256-R702JjM3AGk7upN7GkNK8u1q4ekMK9fYQkpO6Re45Ng=";
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};
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build-system = [
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ninja
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setuptools
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torch
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];
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nativeBuildInputs = [ which ];
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buildInputs = (
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lib.optionals cudaSupport (
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with cudaPackages;
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[
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cuda_cudart # cuda_runtime.h, -lcudart
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cuda_cccl
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libcusparse # cusparse.h
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libcusolver # cusolverDn.h
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cuda_nvcc
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libcublas
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]
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)
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);
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dependencies = [
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causal-conv1d
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einops
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torch
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transformers
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triton
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];
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env = {
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MAMBA_FORCE_BUILD = "TRUE";
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} // lib.optionalAttrs cudaSupport { CUDA_HOME = "${lib.getDev cudaPackages.cuda_nvcc}"; };
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# pytest tests not enabled due to nvidia GPU dependency
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pythonImportsCheck = [ "mamba_ssm" ];
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meta = with lib; {
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description = "Linear-Time Sequence Modeling with Selective State Spaces";
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homepage = "https://github.com/state-spaces/mamba";
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license = licenses.asl20;
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maintainers = with maintainers; [ cfhammill ];
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# The package requires CUDA or ROCm, the ROCm build hasn't
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# been completed or tested, so broken if not using cuda.
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broken = !cudaSupport;
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};
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}
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@ -2050,6 +2050,8 @@ self: super: with self; {
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cattrs = callPackage ../development/python-modules/cattrs { };
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causal-conv1d = callPackage ../development/python-modules/causal-conv1d { };
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cbor2 = callPackage ../development/python-modules/cbor2 { };
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cbor = callPackage ../development/python-modules/cbor { };
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@ -7539,6 +7541,8 @@ self: super: with self; {
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malduck = callPackage ../development/python-modules/malduck { };
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mamba-ssm = callPackage ../development/python-modules/mamba-ssm { };
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managesieve = callPackage ../development/python-modules/managesieve { };
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mando = callPackage ../development/python-modules/mando { };
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