forked from mirrors/nixpkgs
afe8ee8b47
The proper name for a python package is the one in the setuptools setup() call, which can also be seen on pypi. Correct: https://pypi.org/project/torch/ Wrong: https://pypi.org/project/pytorch/ Includes a treewide rename of the attribute and creates aliases for the old name.
104 lines
2.9 KiB
Nix
104 lines
2.9 KiB
Nix
{ buildPythonPackage
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, expecttest
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, fetchFromGitHub
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, lib
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, ninja
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, pytestCheckHook
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, python
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, torch
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, pybind11
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, which
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}:
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buildPythonPackage rec {
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pname = "functorch";
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version = "0.2.0";
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format = "setuptools";
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src = fetchFromGitHub {
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owner = "pytorch";
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repo = pname;
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rev = "refs/tags/v${version}";
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hash = "sha256-33skKk5aAIHn+1149ifolXPA+tpQ+WROAZvwPeGBbrA=";
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};
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# Somewhat surprisingly pytorch is actually necessary for the build process.
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# `setup.py` imports `torch.utils.cpp_extension`.
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nativeBuildInputs = [
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ninja
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torch
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which
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];
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buildInputs = [
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pybind11
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];
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preCheck = ''
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rm -rf functorch/
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'';
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checkInputs = [
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expecttest
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pytestCheckHook
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];
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# See https://github.com/pytorch/functorch/issues/835.
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disabledTests = [
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# RuntimeError: ("('...', '') is in PyTorch's OpInfo db ", "but is not in functorch's OpInfo db. Please regenerate ", '... and add the new tests to ', 'denylists if necessary.')
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"test_coverage_bernoulli_cpu_float32"
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"test_coverage_column_stack_cpu_float32"
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"test_coverage_diagflat_cpu_float32"
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"test_coverage_flatten_cpu_float32"
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"test_coverage_linalg_lu_factor_cpu_float32"
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"test_coverage_linalg_lu_factor_ex_cpu_float32"
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"test_coverage_multinomial_cpu_float32"
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"test_coverage_nn_functional_dropout2d_cpu_float32"
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"test_coverage_nn_functional_feature_alpha_dropout_with_train_cpu_float32"
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"test_coverage_nn_functional_feature_alpha_dropout_without_train_cpu_float32"
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"test_coverage_nn_functional_kl_div_cpu_float32"
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"test_coverage_normal_cpu_float32"
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"test_coverage_normal_number_mean_cpu_float32"
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"test_coverage_pca_lowrank_cpu_float32"
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"test_coverage_round_decimals_0_cpu_float32"
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"test_coverage_round_decimals_3_cpu_float32"
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"test_coverage_round_decimals_neg_3_cpu_float32"
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"test_coverage_scatter_reduce_cpu_float32"
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"test_coverage_svd_lowrank_cpu_float32"
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# > self.assertEqual(len(functorch_lagging_op_db), len(op_db))
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# E AssertionError: Scalars are not equal!
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# E
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# E Absolute difference: 19
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# E Relative difference: 0.03525046382189239
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"test_functorch_lagging_op_db_has_opinfos_cpu"
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# RuntimeError: PyTorch not compiled with LLVM support!
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"test_bias_gelu"
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"test_binary_ops"
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"test_broadcast1"
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"test_broadcast2"
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"test_float_double"
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"test_float_int"
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"test_fx_trace"
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"test_int_long"
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"test_issue57611"
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"test_slice1"
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"test_slice2"
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"test_transposed1"
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"test_transposed2"
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"test_unary_ops"
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];
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pythonImportsCheck = [ "functorch" ];
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meta = with lib; {
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description = "JAX-like composable function transforms for PyTorch";
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homepage = "https://pytorch.org/functorch";
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license = licenses.bsd3;
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maintainers = with maintainers; [ samuela ];
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# See https://github.com/NixOS/nixpkgs/pull/174248#issuecomment-1139895064.
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platforms = platforms.x86_64;
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};
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}
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