Merge pull request #329836 from GaetanLepage/torch

python311Packages.{torch,torch-bin}: 2.3.1 -> 2.4.0
This commit is contained in:
Someone
2024-08-16 22:16:43 +00:00
committed by GitHub
11 changed files with 195 additions and 206 deletions
@@ -28,7 +28,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "2.3.1";
version = "2.4.0";
in
buildPythonPackage {
inherit version;
@@ -102,7 +102,9 @@ buildPythonPackage {
#
# This is a quick hack to add `libnvrtc` to the runpath so that torch can find
# it when it is needed at runtime.
extraRunpaths = lib.optionals stdenv.hostPlatform.isLinux [ "${lib.getLib cudaPackages.cuda_nvrtc}/lib" ];
extraRunpaths = lib.optionals stdenv.hostPlatform.isLinux [
"${lib.getLib cudaPackages.cuda_nvrtc}/lib"
];
postPhases = lib.optionals stdenv.isLinux [ "postPatchelfPhase" ];
postPatchelfPhase = ''
while IFS= read -r -d $'\0' elf ; do
@@ -120,7 +122,7 @@ buildPythonPackage {
pythonImportsCheck = [ "torch" ];
passthru.tests = callPackage ./tests.nix {};
passthru.tests = callPackage ./tests.nix { };
meta = {
description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration";
@@ -7,81 +7,81 @@
version:
builtins.getAttr version {
"2.3.1" = {
"2.4.0" = {
x86_64-linux-38 = {
name = "torch-2.3.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-TkEPNC/YbHO+oO0kVQnV/15od72lSySfdaM9U1yHfy8=";
name = "torch-2.4.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.4.0%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-ikebcXQK+SpOG5kEW+qDHz2nMYfIw+PSErHm/jkxWyE=";
};
x86_64-linux-39 = {
name = "torch-2.3.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-3+phA2LA4qX/KNMi1qpl1l4D4TNJlhGaWjdwx9GCGsQ=";
name = "torch-2.4.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.4.0%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-iIObriuWfdOFeaqwu6lRDpKxHau8Th3V5jDF/WVfXac=";
};
x86_64-linux-310 = {
name = "torch-2.3.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-8N610vkypo7VRiW6FA7dvyryK+l47hm5tjyYat1kJbI=";
name = "torch-2.4.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.4.0%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-KL+6CE3KUqBsRl160PPMNyw1/FA/PquIHMF6X9gpFOc=";
};
x86_64-linux-311 = {
name = "torch-2.3.1-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-kl40rwkFBipItPgtDmZWNBrU1iaDSmqCRe9OruU3XJg=";
name = "torch-2.4.0-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.4.0%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-qf/zLTZeDHS2kJSAVIsuKRMUogStsptrtvLG0z+L4mw=";
};
x86_64-linux-312 = {
name = "torch-2.3.1-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-s8WG9Ksl6D7//M+5cHnpEyUym8IoFmVVxLuTlXdT1Oo=";
name = "torch-2.4.0-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.4.0%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-SaxVpkl93W0M3VG16ifY6+IMknMHeFXpyW6w3CifB8M=";
};
aarch64-darwin-38 = {
name = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-vuC9M9xYqo/Ip1J4dum5oOgSrQgSIFSlv/LOWr8AWxA=";
name = "torch-2.4.0-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-OvTeKmGPsGXnhATEuieoGKe3lX6u/yjGxmzn+1BLaLg=";
};
aarch64-darwin-39 = {
name = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-K7WveAxVvmj+EA/rBSjS7eus4dVcsuNR3nNYCbpzkes=";
name = "torch-2.4.0-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-iUD8i5ekxh/bXUajaPIfSjpWKheHnpMutRpexiMQyzE=";
};
aarch64-darwin-310 = {
name = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-none-macosx_11_0_arm64.whl";
hash = "sha256-fAmpQ2J3hChIS8+ZX2AEsElSEGruDvRf8LS6tIT1SY0=";
name = "torch-2.4.0-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp310-none-macosx_11_0_arm64.whl";
hash = "sha256-aFQYq5NzDvvucVKIIf9UAFWWlw3Ul78DyJIE+34/cd4=";
};
aarch64-darwin-311 = {
name = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-none-macosx_11_0_arm64.whl";
hash = "sha256-p91O04itHz1QK/CUU9X+WWx7Eh3n4M+soeIBd4Lpu6w=";
name = "torch-2.4.0-cp311-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp311-none-macosx_11_0_arm64.whl";
hash = "sha256-8Wm06m3JOzozMZYR/MR9wUBuTdU5hE3L0t7EwbluFm0=";
};
aarch64-darwin-312 = {
name = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-none-macosx_11_0_arm64.whl";
hash = "sha256-PDM9wuvBiVYVFO2gboHfIr+Ptk4jhHRrLLnwT5bR1Mg=";
name = "torch-2.4.0-cp312-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp312-none-macosx_11_0_arm64.whl";
hash = "sha256-karwC/4f+kTcW1KAnZqVEp/KECEuyjrCZCDrEXJ8Yog=";
};
aarch64-linux-38 = {
name = "torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-O3wUmPkE9n6x4zHy6+h0J3GiznG57pvAHelnJX6IHH0=";
name = "torch-2.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-nrqD+Kj5hUL5F+OQAMkD8VRlWs9jdcBzz81DBqFU64A=";
};
aarch64-linux-39 = {
name = "torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-22v/S6YnO1muRD3gS1rcNtakC7KJiGYTO/8tUvJ26v4=";
name = "torch-2.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-J4akfI2N7BdvxnnSqrmm9UnCVFJRC0llCrE0E1JmujM=";
};
aarch64-linux-310 = {
name = "torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-ZUT98pAYZowKbUobzJVZgsGtpwgGKBsBDLqTvc+9zyI=";
name = "torch-2.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-fBWeidTs8IQD+dE3PVVEIiQLmxFGoKGRKQadw1enKys=";
};
aarch64-linux-311 = {
name = "torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-Kq8ON3NMvF/mv8yBraNuy7iZ1N2+E0mL2EqsqKkchig=";
name = "torch-2.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-OBacsPHmcnw9rI2si5pI0HKkn2Q7kIqZFV7x2Bthves=";
};
aarch64-linux-312 = {
name = "torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-d9LeGklaHAf1ksM4oNWS5VzAudL4ADCeRqDqLA46KRk=";
name = "torch-2.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-7IY1E1C716vqNDb6b0Iws7C793oibkS6RhhA4gT8zXE=";
};
};
}
@@ -99,7 +99,7 @@ let
setBool = v: if v then "1" else "0";
# https://github.com/pytorch/pytorch/blob/v2.0.1/torch/utils/cpp_extension.py#L1744
# https://github.com/pytorch/pytorch/blob/v2.4.0/torch/utils/cpp_extension.py#L1953
supportedTorchCudaCapabilities =
let
real = [
@@ -119,6 +119,7 @@ let
"8.7"
"8.9"
"9.0"
"9.0a"
];
ptx = lists.map (x: "${x}+PTX") real;
in
@@ -206,13 +207,14 @@ let
# In particular, this triggered warnings from cuda's `aliases.nix`
"Magma cudaPackages does not match cudaPackages" =
cudaSupport && (effectiveMagma.cudaPackages.cudaVersion != cudaPackages.cudaVersion);
"Rocm support is currently broken because `rocmPackages.hipblaslt` is unpackaged. (2024-06-09)" = rocmSupport;
"Rocm support is currently broken because `rocmPackages.hipblaslt` is unpackaged. (2024-06-09)" =
rocmSupport;
};
in
buildPythonPackage rec {
pname = "torch";
# Don't forget to update torch-bin to the same version.
version = "2.3.1";
version = "2.4.0";
pyproject = true;
disabled = pythonOlder "3.8.0";
@@ -230,11 +232,16 @@ buildPythonPackage rec {
repo = "pytorch";
rev = "refs/tags/v${version}";
fetchSubmodules = true;
hash = "sha256-vpgtOqzIDKgRuqdT8lB/g6j+oMIH1RPxdbjtlzZFjV8=";
hash = "sha256-s49rtarGNNFpnNG+kfJtZLE8ND53Ma201I0cOjeFSts=";
};
patches =
lib.optionals cudaSupport [ ./fix-cmake-cuda-toolkit.patch ]
[
# Allow setting PYTHON_LIB_REL_PATH with an environment variable.
# https://github.com/pytorch/pytorch/pull/128419
./passthrough-python-lib-rel-path.patch
]
++ lib.optionals cudaSupport [ ./fix-cmake-cuda-toolkit.patch ]
++ lib.optionals (stdenv.isDarwin && stdenv.isx86_64) [
# pthreadpool added support for Grand Central Dispatch in April
# 2020. However, this relies on functionality (DISPATCH_APPLY_AUTO)
@@ -279,11 +286,12 @@ buildPythonPackage rec {
'message(FATAL_ERROR "Found NCCL header version and library version' \
'message(WARNING "Found NCCL header version and library version'
''
# Remove PyTorch's FindCUDAToolkit.cmake and to use CMake's default.
# We do not remove the entirety of cmake/Modules_CUDA_fix because we need FindCUDNN.cmake.
# Remove PyTorch's FindCUDAToolkit.cmake and use CMake's default.
# NOTE: Parts of pytorch rely on unmaintained FindCUDA.cmake with custom patches to support e.g.
# newer architectures (sm_90a). We do want to delete vendored patches, but have to keep them
# until https://github.com/pytorch/pytorch/issues/76082 is addressed
+ lib.optionalString cudaSupport ''
rm cmake/Modules/FindCUDAToolkit.cmake
rm -rf cmake/Modules_CUDA_fix/{upstream,FindCUDA.cmake}
''
# error: no member named 'aligned_alloc' in the global namespace; did you mean simply 'aligned_alloc'
# This lib overrided aligned_alloc hence the error message. Tltr: his function is linkable but not in header.
@@ -375,6 +383,10 @@ buildPythonPackage rec {
USE_SYSTEM_NCCL = USE_NCCL;
USE_STATIC_NCCL = USE_NCCL;
# Set the correct Python library path, broken since
# https://github.com/pytorch/pytorch/commit/3d617333e
PYTHON_LIB_REL_PATH = "${placeholder "out"}/${python.sitePackages}";
# Suppress a weird warning in mkl-dnn, part of ideep in pytorch
# (upstream seems to have fixed this in the wrong place?)
# https://github.com/intel/mkl-dnn/commit/8134d346cdb7fe1695a2aa55771071d455fae0bc
@@ -466,9 +478,7 @@ buildPythonPackage rec {
libcusolver
libcusparse
]
++ lists.optionals (cudaPackages ? cudnn) [
cudnn
]
++ lists.optionals (cudaPackages ? cudnn) [ cudnn ]
++ lists.optionals useSystemNccl [
# Some platforms do not support NCCL (i.e., Jetson)
nccl # Provides nccl.h AND a static copy of NCCL!
@@ -1,51 +1,15 @@
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 9194e520bb0..d05fdcfb6cb 100644
index c4cd4b2c2a..e983b21353 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1160,10 +1160,6 @@ if(BUILD_SHARED_LIBS)
${PROJECT_SOURCE_DIR}/cmake/Modules_CUDA_fix
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
- install(FILES
- ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUDAToolkit.cmake
- DESTINATION share/cmake/Caffe2/
- COMPONENT dev)
install(FILES
${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUSPARSELT.cmake
DESTINATION share/cmake/Caffe2/
diff --git a/cmake/public/cuda.cmake b/cmake/public/cuda.cmake
index c7595774d81..4fc43771810 100644
--- a/cmake/public/cuda.cmake
+++ b/cmake/public/cuda.cmake
@@ -61,9 +61,15 @@ find_package(CUDAToolkit REQUIRED)
cmake_policy(POP)
if(NOT CMAKE_CUDA_COMPILER_VERSION VERSION_EQUAL CUDAToolkit_VERSION)
- message(FATAL_ERROR "Found two conflicting CUDA versions:\n"
- "V${CMAKE_CUDA_COMPILER_VERSION} in '${CUDA_INCLUDE_DIRS}' and\n"
- "V${CUDAToolkit_VERSION} in '${CUDAToolkit_INCLUDE_DIRS}'")
+ if(CUDA_INCLUDE_DIRS IN_LIST CUDAToolkit_INCLUDE_DIR)
+ message(STATUS "CUDA_INCLUDE_DIRS is a substring of CUDAToolkit_INCLUDE_DIR. "
+ "Setting CUDA_INCLUDE_DIRS to CUDAToolkit_INCLUDE_DIR.")
+ set(CUDA_INCLUDE_DIRS "${CUDAToolkit_INCLUDE_DIR}")
+ else()
+ message(FATAL_ERROR "Found two conflicting CUDA installs:\n"
+ "V${CMAKE_CUDA_COMPILER_VERSION} in '${CUDA_INCLUDE_DIRS}' and\n"
+ "V${CUDAToolkit_VERSION} in '${CUDAToolkit_INCLUDE_DIR}'")
+ endif()
endif()
if(NOT TARGET CUDA::nvToolsExt)
diff --git a/tools/setup_helpers/cmake.py b/tools/setup_helpers/cmake.py
index fb19b66dfba..3f83bef32fe 100644
--- a/tools/setup_helpers/cmake.py
+++ b/tools/setup_helpers/cmake.py
@@ -207,6 +207,8 @@ class CMake:
"BUILDING_WITH_TORCH_LIBS",
"CUDA_HOST_COMPILER",
"CUDA_NVCC_EXECUTABLE",
+ "CUDAToolkit_ROOT",
+ "CUDAToolkit_INCLUDE_DIR",
"CUDA_SEPARABLE_COMPILATION",
"CUDNN_LIBRARY",
"CUDNN_INCLUDE_DIR",
@@ -1319,10 +1319,6 @@ if(BUILD_SHARED_LIBS)
DIRECTORY ${PROJECT_SOURCE_DIR}/cmake/Modules_CUDA_fix
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
- install(
- FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUDAToolkit.cmake
- DESTINATION share/cmake/Caffe2/
- COMPONENT dev)
install(
FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUSPARSELT.cmake
DESTINATION share/cmake/Caffe2/
@@ -0,0 +1,12 @@
diff --git a/tools/setup_helpers/cmake.py b/tools/setup_helpers/cmake.py
index 5481ce46031c..d50d9d547399 100644
--- a/tools/setup_helpers/cmake.py
+++ b/tools/setup_helpers/cmake.py
@@ -231,6 +231,7 @@ def generate(
"SELECTED_OP_LIST",
"TORCH_CUDA_ARCH_LIST",
"TRACING_BASED",
+ "PYTHON_LIB_REL_PATH",
)
}
)
@@ -16,7 +16,7 @@
buildPythonPackage rec {
pname = "torchaudio";
version = "2.3.1";
version = "2.4.0";
format = "wheel";
src =
@@ -7,81 +7,81 @@
version:
builtins.getAttr version {
"2.3.1" = {
"2.4.0" = {
x86_64-linux-38 = {
name = "torchaudio-2.3.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-4QoP0bNR6EnnzZ4ekw3KP/uMow+WI5vqEx8YP2WUXNs=";
name = "torchaudio-2.4.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.4.0%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-HbbFZ4nETaygQRxSMYg6d3Omqxbx6uSrXrUzRt71RTw=";
};
x86_64-linux-39 = {
name = "torchaudio-2.3.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-bOv8CdkcpAPASLnPKuPWS09UzzGghYTQ0/v3+VAewNw=";
name = "torchaudio-2.4.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.4.0%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-5wG1xXOR9ApLTdWQtt8eGt+83GwT6zfEW+Kay4pz5vQ=";
};
x86_64-linux-310 = {
name = "torchaudio-2.3.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-C0I/SuM1bxH2cj6MdyCKw/k2Gk+UHkzAjYbDLBN1lLw=";
name = "torchaudio-2.4.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.4.0%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-R+F2Pr3UEID6Otlv9OTyKHgxz6jd51IzrRMpxhOr2lA=";
};
x86_64-linux-311 = {
name = "torchaudio-2.3.1-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-LZE2vzybarltxC8m9suDbUXRFfV2bhav9Sg1yOfN5WU=";
name = "torchaudio-2.4.0-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.4.0%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-KcjEOkm0MDZnvyDNhcP26borSg+0tqrsLgKzstbMbOo=";
};
x86_64-linux-312 = {
name = "torchaudio-2.3.1-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-sAdz3eOqMNmxuYh1ZQQo+/tp/jC5jrtc7/vY/GHegSU=";
name = "torchaudio-2.4.0-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.4.0%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-gTwbojelvYBZo0BOav9xtc09SXmtCV3PreFZJoCFUDE=";
};
aarch64-darwin-38 = {
name = "torchaudio-2.3.1-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-zkXgWs1URpbGpvAj1P6GFK3ldRV5mhEDskGOhUg41KU=";
name = "torchaudio-2.4.0-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-/D+OzW8Lv8ZU07xSdWp8o1nx2ItPoCkOHNt2OjExt7k=";
};
aarch64-darwin-39 = {
name = "torchaudio-2.3.1-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-NujAtlMlccJ6CKQNrkKM00ryJQB/FbzXcnJkO2JmuB0=";
name = "torchaudio-2.4.0-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-H9ZwyAjjIsEBlXoHZR4pk1+G7DiSQ8DEOiTt16GFSEE=";
};
aarch64-darwin-310 = {
name = "torchaudio-2.3.1-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-H5E0sn5afwweMzgvwP4njlNpV2jLCvAujSK1AGx0oq0=";
name = "torchaudio-2.4.0-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-cz6dhZuI2r7+rwCOOrK4x4hbKUZgaLS3mkJ2a+RhnkY=";
};
aarch64-darwin-311 = {
name = "torchaudio-2.3.1-cp311-cp311-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp311-cp311-macosx_11_0_arm64.whl";
hash = "sha256-AZhPODmMpemOz7/q+3KuWyEx0LuKpGS1d3rds+SCaHc=";
name = "torchaudio-2.4.0-cp311-cp311-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp311-cp311-macosx_11_0_arm64.whl";
hash = "sha256-rLz5Ep/8/OgIJU4sv/EDNjxQXOBu1MQjGz9DahBnnU0=";
};
aarch64-darwin-312 = {
name = "torchaudio-2.3.1-cp312-cp312-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp312-cp312-macosx_11_0_arm64.whl";
hash = "sha256-XjZoVCCgehdhRunW4PqCJRmPEm4WegB4VTj4U4B+LUM=";
name = "torchaudio-2.4.0-cp312-cp312-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp312-cp312-macosx_11_0_arm64.whl";
hash = "sha256-rhOpXvb6vK2w7/NthfUEjXBHSi6XBPqchumQPLzsDUo=";
};
aarch64-linux-38 = {
name = "torchaudio-2.3.1-cp38-cp38-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp38-cp38-linux_aarch64.whl";
hash = "sha256-n9D0u8P9WF+9fZdqmI/m54P8suDbnXDaxg9AvgcsZQQ=";
name = "torchaudio-2.4.0-cp38-cp38-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp38-cp38-linux_aarch64.whl";
hash = "sha256-1/6efy/oJQ/eB7IDVsRNdw1fqjyid6vc2jr31IQEj7o=";
};
aarch64-linux-39 = {
name = "torchaudio-2.3.1-cp39-cp39-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp39-cp39-linux_aarch64.whl";
hash = "sha256-TjvKIy+CDGoPpTlEJAdsxRn64yKI5/9vbWi9cXlNw1Q=";
name = "torchaudio-2.4.0-cp39-cp39-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp39-cp39-linux_aarch64.whl";
hash = "sha256-yECJTeEqbdPqV8uw0AhhI6qkgAG6Otme9xT+AJ6ujrk=";
};
aarch64-linux-310 = {
name = "torchaudio-2.3.1-cp310-cp310-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp310-cp310-linux_aarch64.whl";
hash = "sha256-a1fnc6rXJ0PVCmSnQCoGy4vfzHCe/G2MJkKdlA5niOI=";
name = "torchaudio-2.4.0-cp310-cp310-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp310-cp310-linux_aarch64.whl";
hash = "sha256-F8tz1DNncdRVzY3ai0iRMHpTRriQpOax1Lc9VlJY/uE=";
};
aarch64-linux-311 = {
name = "torchaudio-2.3.1-cp311-cp311-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp311-cp311-linux_aarch64.whl";
hash = "sha256-yMcnyDQYJb0Y2RAXxMAPNrU7CPIXbNub3LDe8cRQsh0=";
name = "torchaudio-2.4.0-cp311-cp311-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp311-cp311-linux_aarch64.whl";
hash = "sha256-vpacCUZts14Nebiwnf9myu27lWm0LJA6LV4Nsq92Djw=";
};
aarch64-linux-312 = {
name = "torchaudio-2.3.1-cp312-cp312-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp312-cp312-linux_aarch64.whl";
hash = "sha256-Qq9sekMOYmjywCjgYHjUE5ErXsbvoooJfr3Tw8eWWd8=";
name = "torchaudio-2.4.0-cp312-cp312-manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.4.0-cp312-cp312-linux_aarch64.whl";
hash = "sha256-U00ZB7slLs0rqeHWHP9yIP1mCQ5j33s8EJzqd6GdTLg=";
};
};
}
@@ -72,14 +72,14 @@ let
in
buildPythonPackage rec {
pname = "torchaudio";
version = "2.3.1";
version = "2.4.0";
pyproject = true;
src = fetchFromGitHub {
owner = "pytorch";
repo = "audio";
rev = "refs/tags/v${version}";
hash = "sha256-PYaqRNKIhQ1DnFRZYyJJfBszVM2Bmu7A/lvvzJ6lL3g=";
hash = "sha256-ltBPoFDA7GS9XRHyWeTRn1YTVqdaE/38KnkG4fp7Th8=";
};
patches = [ ./0001-setup.py-propagate-cmakeFlags.patch ];
@@ -17,7 +17,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "0.18.1";
version = "0.19.0";
in
buildPythonPackage {
inherit version;
@@ -7,81 +7,81 @@
version:
builtins.getAttr version {
"0.18.1" = {
"0.19.0" = {
x86_64-linux-38 = {
name = "torchvision-0.18.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-ruiWHcuKQY6S0G1LPpr1KYcpOkjBQjHDxQyO6jdB5BI=";
name = "torchvision-0.19.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-5GynSUL5Of12jXr29wqhfAciLKj6abBXtAi05u29bys=";
};
x86_64-linux-39 = {
name = "torchvision-0.18.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-Hr9du9869EbITkK68u2+sb1vsMydO0kBr5acg5HRSl4=";
name = "torchvision-0.19.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-R2KGR72zWQyauWXvtwhTMA1eHGh1lRHumUpvH5fywSM=";
};
x86_64-linux-310 = {
name = "torchvision-0.18.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-6VulosYWk5KB4Bur8RZk1tFyXoG7pX74H4HD5X5NQVE=";
name = "torchvision-0.19.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-XuEDx+tH+LCIN+DkixePfsyR12nSthJAuQy1qi0Gznc=";
};
x86_64-linux-311 = {
name = "torchvision-0.18.1-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-KyrsLGjguhf57tiSF5b6Lbx6ST3qejtF0lwFWtQXSGg=";
name = "torchvision-0.19.0-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-NpTVJ7SPribGrEpDWWC4tXk9YcXxQgtr77lLM8mm/Ng=";
};
x86_64-linux-312 = {
name = "torchvision-0.18.1-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.18.1%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-zo1bmSBW8GQKOe9XNDQuQ8pKgBVH3if7jbwwVdk0WUc=";
name = "torchvision-0.19.0-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchvision-0.19.0%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-9M7FuSc1N6VG5V6eCI++01kM+2kn+IFX1K/s7iPBJek=";
};
aarch64-darwin-38 = {
name = "torchvision-0.18.1-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-scOGT6k3jIi86K0O81mfTyU5eJfOYS4cJFx0uXCS814=";
name = "torchvision-0.19.0-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-hU6WehapQJ6UG1u+WqNXsj9xWLzLneNa4g/UlF8F7NE=";
};
aarch64-darwin-39 = {
name = "torchvision-0.18.1-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-l1uFlMD1KIh1QIrLt0lG7qeGxbAI0SnA0EXQ6tI3Qrw=";
name = "torchvision-0.19.0-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-3RJ5Vx1LaNWlPZt6Na7fkcTLHgsICZ9qHv+nsluMlec=";
};
aarch64-darwin-310 = {
name = "torchvision-0.18.1-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-PmlOVLBUja2ZwSr2vwyOTzNQE305Hc0ZryKhxfiTIrM=";
name = "torchvision-0.19.0-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-7IdO+F3LJMaeYA9uJ2r4ksgM3j/9rrcnXv2kYyQrwqg=";
};
aarch64-darwin-311 = {
name = "torchvision-0.18.1-cp311-cp311-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp311-cp311-macosx_11_0_arm64.whl";
hash = "sha256-gLXXlN0P26eHrcIvGjZ6Xq1FIydoZHPLJg3ZQ2S8VqY=";
name = "torchvision-0.19.0-cp311-cp311-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp311-cp311-macosx_11_0_arm64.whl";
hash = "sha256-2/OqcaOJkkT8iEMD7TxGBKFggk/vrHfoIxelRj78HZs=";
};
aarch64-darwin-312 = {
name = "torchvision-0.18.1-cp312-cp312-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp312-cp312-macosx_11_0_arm64.whl";
hash = "sha256-K+bwv3xFXImlGh27b2aNNsbtxHn0mskS10XRDfVxVlc=";
name = "torchvision-0.19.0-cp312-cp312-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp312-cp312-macosx_11_0_arm64.whl";
hash = "sha256-wJ747RhPqHf2JRtiAibnT2grjx1rNBRWQo1JVbjZxnA=";
};
aarch64-linux-38 = {
name = "torchvision-0.18.1-cp38-cp38-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp38-cp38-linux_aarch64.whl";
hash = "sha256-lybDFqJQHfhQPlpdxGpjGv1MUVqViXLlt/e5yH0hJcA=";
name = "torchvision-0.19.0-cp38-cp38-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp38-cp38-linux_aarch64.whl";
hash = "sha256-B5ppbgsstS5L4wr6jps9fSgPAqK1/+3X6CH6Hv0aWo0=";
};
aarch64-linux-39 = {
name = "torchvision-0.18.1-cp39-cp39-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp39-cp39-linux_aarch64.whl";
hash = "sha256-VL/NNSq7OW1cnCN9IAFnwXi9E2BRsTjh6O9GzjZ8J3M=";
name = "torchvision-0.19.0-cp39-cp39-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp39-cp39-linux_aarch64.whl";
hash = "sha256-X5pZjc+CvfyORDbOdHY7OHfavsOzP5RhO5Tt4T4+Te4=";
};
aarch64-linux-310 = {
name = "torchvision-0.18.1-cp310-cp310-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp310-cp310-linux_aarch64.whl";
hash = "sha256-Vz/1I8c5QF7bCF9ly1kvSC0oow4psL5MS6CAQLOueF8=";
name = "torchvision-0.19.0-cp310-cp310-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp310-cp310-linux_aarch64.whl";
hash = "sha256-1GfUNABf0Foieiunr0xZG7Z+bUqXu9Bu2o2oP0Pp/Qc=";
};
aarch64-linux-311 = {
name = "torchvision-0.18.1-cp311-cp311-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp311-cp311-linux_aarch64.whl";
hash = "sha256-zrmTqILxrnrjc+05wo1+PoAiBbDlmn7YTvQCjwu6jX8=";
name = "torchvision-0.19.0-cp311-cp311-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp311-cp311-linux_aarch64.whl";
hash = "sha256-Tmqk+j8Lw1mfoHHBSeZRo+a91nyRYXlEePn5FHHEBqI=";
};
aarch64-linux-312 = {
name = "torchvision-0.18.1-cp312-cp312-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.18.1-cp312-cp312-linux_aarch64.whl";
hash = "sha256-E9JNkE9l5i1moeDEH67GMLwZOGe4pKARZnaeio6N+Ok=";
name = "torchvision-0.19.0-cp312-cp312-linux_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.19.0-cp312-cp312-linux_aarch64.whl";
hash = "sha256-vg8noouOnyrpijGvNKS90qW/FU2SvXOleXyNIVb7OrY=";
};
};
}
@@ -18,7 +18,7 @@ let
inherit (cudaPackages) backendStdenv;
pname = "torchvision";
version = "0.18.1";
version = "0.19.0";
in
buildPythonPackage {
inherit pname version;
@@ -27,7 +27,7 @@ buildPythonPackage {
owner = "pytorch";
repo = "vision";
rev = "refs/tags/v${version}";
hash = "sha256-aFm6CyoMA8HtpOAVF5Q35n3JRaOXYswWEqfooORUKsw=";
hash = "sha256-OVwdEqKEoZR1jtcg4ODyvIZvP9UQPodPv8qnTqbA/pc=";
};
nativeBuildInputs = [
@@ -76,6 +76,7 @@ buildPythonPackage {
meta = {
description = "PyTorch vision library";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
license = lib.licenses.bsd3;
platforms = with lib.platforms; linux ++ lib.optionals (!cudaSupport) darwin;
maintainers = with lib.maintainers; [ ericsagnes ];