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|
{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
replaceVars,
# build-system
setuptools,
# nativeBuildInputs
cmake,
# buildInputs
cpuinfo,
llvmPackages,
# dependencies
torch,
# tests
bitsandbytes,
expecttest,
fire,
pytest-xdist,
pytestCheckHook,
parameterized,
tabulate,
transformers,
unittest-xml-reporting,
}:
buildPythonPackage rec {
pname = "torchao";
version = "0.14.1";
pyproject = true;
src = fetchFromGitHub {
owner = "pytorch";
repo = "ao";
tag = "v${version}";
hash = "sha256-L9Eoul7Nar/+gS44+hA8JbfxCgkMH5xAMCleggAZn7c=";
};
patches = lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
./use-system-cpuinfo.patch
(replaceVars ./use-llvm-openmp.patch {
inherit (llvmPackages) openmp;
})
];
build-system = [
setuptools
];
nativeBuildInputs = lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
cmake
];
dontUseCmakeConfigure = true;
buildInputs = lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
cpuinfo
];
propagatedBuildInputs = lib.optionals stdenv.hostPlatform.isDarwin [
# Otherwise, torch will fail to include `omp.h`:
# torch._inductor.exc.InductorError: CppCompileError: C++ compile error
# OpenMP support not found.
llvmPackages.openmp
];
dependencies = [
torch
];
env = {
USE_SYSTEM_LIBS = true;
};
# Otherwise, the tests are loading the python module from the source instead of the installed one
preCheck = ''
rm -rf torchao
'';
pythonImportsCheck = [
"torchao"
];
nativeCheckInputs = [
bitsandbytes
expecttest
fire
parameterized
pytest-xdist
pytestCheckHook
tabulate
transformers
unittest-xml-reporting
];
disabledTests = [
# Requires internet access
"test_on_dummy_distilbert"
# FileNotFoundError: [Errno 2] No such file or directory: 'checkpoints/meta-llama/Llama-2-7b-chat-hf/model.pth'
"test_gptq_mt"
# KeyError: '_guards_fn
"test_add"
"test_add_relu"
"test_allow_exported_model_train_eval"
"test_allow_exported_model_train_eval_idempotent"
"test_conv2d"
"test_disallow_eval_train"
"test_dynamic_linear"
"test_fold_bn_erases_bn_node"
"test_fold_bn_erases_bn_node"
"test_maxpool2d"
"test_move_exported_model_bn_device_cpu"
"test_move_exported_model_dropout"
"test_move_exported_model_dropout_inplace"
"test_preserve_nn_module_stack"
"test_qat_bn_conv2d"
"test_qat_conv2d"
"test_qat_conv2d_binary"
"test_qat_conv2d_binary2"
"test_qat_conv2d_binary_unary"
"test_qat_conv2d_unary"
"test_qat_conv_bn_bias_derived_qspec"
"test_qat_conv_bn_fusion"
"test_qat_conv_bn_fusion_literal_args"
"test_qat_conv_bn_fusion_no_conv_bias"
"test_qat_conv_bn_per_channel_weight_bias"
"test_qat_conv_bn_relu_fusion"
"test_qat_conv_bn_relu_fusion_no_conv_bias"
"test_qat_conv_transpose_bn"
"test_qat_conv_transpose_bn_relu"
"test_qat_per_channel_weight_custom_dtype"
"test_qat_preserve_source_fn_stack"
"test_qat_qconv2d"
"test_qat_qconv2d_add"
"test_qat_qconv2d_add_relu"
"test_qat_qconv2d_hardswish"
"test_qat_qconv2d_hardtanh"
"test_qat_qconv2d_relu"
"test_qat_qconv2d_relu6"
"test_qat_qconv2d_silu"
"test_qat_update_shared_qspec"
"test_qdq"
"test_qdq_per_channel"
"test_reentrant"
"test_static_linear"
]
++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64) [
# AssertionError: tensor(False) is not true
"test_quantize_per_token_cpu"
# RuntimeError: failed to initialize QNNPACK
"test_smooth_linear_cpu"
# torch._inductor.exc.InductorError: LoweringException: AssertionError: Expect L1_cache_size > 0 but got 0
"test_int8_weight_only_quant_with_freeze_0_cpu"
"test_int8_weight_only_quant_with_freeze_1_cpu"
"test_int8_weight_only_quant_with_freeze_2_cpu"
# FileNotFoundError: [Errno 2] No such file or directory: 'test.pth'
"test_save_load_int4woqtensors_2_cpu"
"test_save_load_int8woqtensors_0_cpu"
"test_save_load_int8woqtensors_1_cpu"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# AssertionError: Scalars are not equal!
"test_comm"
"test_fsdp2"
"test_fsdp2_correctness"
"test_precompute_bitnet_scale"
"test_qlora_fsdp2"
"test_uneven_shard"
# RuntimeError: No packed_weights_format was selected
"TestIntxOpaqueTensor"
"test_accuracy_kleidiai"
# RuntimeError: quantized engine NoQEngine is not supported
"test_smooth_linear_cpu"
"test_smooth_linear_edge_cases"
# TypeError: Trying to convert Float8_e4m3fn to the MPS backend but it does not have support for that dtype.
"test_subclass_slice_subclass2_shape0_device_mps"
"test_subclass_slice_subclass2_shape1_device_mps"
# torch._inductor.exc.InductorError: KeyError: torch.float8_e4m3fn
"test_optim_default_dtype_bf16_optim_name_AdamFp8_device_mps"
"test_optim_smoke_optim_name_AdamWFp8_bfloat16_device_mps"
"test_optim_smoke_optim_name_AdamWFp8_float32_device_mps"
"test_param_groups_optim_name_AdamFp8_device_mps"
"test_subclass_slice_subclass0_shape0_device_mps"
"test_optim_smoke_optim_name_AdamFp8_bfloat16_device_mps"
"test_optim_smoke_optim_name_AdamFp8_float32_device_mps"
"test_subclass_slice_subclass0_shape1_device_mps"
]
++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64) [
# Flaky: [gw0] node down: keyboard-interrupt
"test_int8_weight_only_quant_with_freeze_0_cpu"
"test_int8_weight_only_quant_with_freeze_1_cpu"
"test_int8_weight_only_quant_with_freeze_2_cpu"
# Illegal instruction in subclass_4bit.py::dequantize
"test_subclass_slice"
];
disabledTestPaths = lib.optionals stdenv.hostPlatform.isDarwin [
# Require unpackaged 'coremltools'
"test/prototype/test_groupwise_lowbit_weight_lut_quantizer.py"
# AttributeError: '_OpNamespace' 'mkldnn' object has no attribute '_is_mkldnn_acl_supported'
"test/quantization/pt2e/test_arm_inductor_quantizer.py"
"test/quantization/pt2e/test_x86inductor_fusion.py"
"test/quantization/pt2e/test_x86inductor_quantizer.py"
];
meta = {
description = "PyTorch native quantization and sparsity for training and inference";
homepage = "https://github.com/pytorch/ao";
changelog = "https://github.com/pytorch/ao/releases/tag/v${version}";
license = lib.licenses.bsd3;
maintainers = with lib.maintainers; [
GaetanLepage
sarahec
];
};
}
|
