1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
{
lib,
buildPythonPackage,
fetchFromGitHub,
ninja,
setuptools,
torch,
cudaPackages,
rocmPackages,
config,
cudaSupport ? config.cudaSupport,
which,
}:
buildPythonPackage rec {
pname = "causal-conv1d";
version = "1.4.0";
pyproject = true;
src = fetchFromGitHub {
owner = "Dao-AILab";
repo = "causal-conv1d";
rev = "refs/tags/v${version}";
hash = "sha256-p5x5u3zEmEMN3mWd88o3jmcpKUnovTvn7I9jIOj/ie0=";
};
build-system = [
ninja
setuptools
torch
];
nativeBuildInputs = [ which ];
buildInputs = (
lib.optionals cudaSupport (
with cudaPackages;
[
cuda_cudart # cuda_runtime.h, -lcudart
cuda_cccl
libcusparse # cusparse.h
libcusolver # cusolverDn.h
cuda_nvcc
libcublas
]
)
);
dependencies = [
torch
];
# pytest tests not enabled due to nvidia GPU dependency
pythonImportsCheck = [ "causal_conv1d" ];
env = {
CAUSAL_CONV1D_FORCE_BUILD = "TRUE";
} // lib.optionalAttrs cudaSupport { CUDA_HOME = "${lib.getDev cudaPackages.cuda_nvcc}"; };
meta = with lib; {
description = "Causal depthwise conv1d in CUDA with a PyTorch interface";
homepage = "https://github.com/Dao-AILab/causal-conv1d";
license = licenses.bsd3;
maintainers = with maintainers; [ cfhammill ];
# The package requires CUDA or ROCm, the ROCm build hasn't
# been completed or tested, so broken if not using cuda.
broken = !cudaSupport;
};
}
|
