python3Packages.torchao, python3Packages.torchtune: disable tests that fail on darwin, adopt (#471546)
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@@ -200,6 +200,8 @@ buildPythonPackage rec {
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badPlatforms = [
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# Many tests segfault. Supporting this platform will need additional work
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"aarch64-linux"
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# Compilation errors on Darwin
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lib.systems.inspect.patterns.isDarwin
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];
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};
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}
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@@ -168,7 +168,7 @@ buildPythonPackage rec {
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"test_save_load_int8woqtensors_0_cpu"
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"test_save_load_int8woqtensors_1_cpu"
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]
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++ lib.optionals (stdenv.hostPlatform.isDarwin) [
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# AssertionError: Scalars are not equal!
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"test_comm"
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"test_fsdp2"
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@@ -176,8 +176,7 @@ buildPythonPackage rec {
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"test_precompute_bitnet_scale"
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"test_qlora_fsdp2"
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"test_uneven_shard"
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]
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++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
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# RuntimeError: No packed_weights_format was selected
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"TestIntxOpaqueTensor"
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"test_accuracy_kleidiai"
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@@ -185,15 +184,31 @@ buildPythonPackage rec {
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# RuntimeError: quantized engine NoQEngine is not supported
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"test_smooth_linear_cpu"
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"test_smooth_linear_edge_cases"
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# TypeError: Trying to convert Float8_e4m3fn to the MPS backend but it does not have support for that dtype.
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"test_subclass_slice_subclass2_shape0_device_mps"
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"test_subclass_slice_subclass2_shape1_device_mps"
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# torch._inductor.exc.InductorError: KeyError: torch.float8_e4m3fn
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"test_optim_default_dtype_bf16_optim_name_AdamFp8_device_mps"
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"test_optim_smoke_optim_name_AdamWFp8_bfloat16_device_mps"
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"test_optim_smoke_optim_name_AdamWFp8_float32_device_mps"
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"test_param_groups_optim_name_AdamFp8_device_mps"
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"test_subclass_slice_subclass0_shape0_device_mps"
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"test_optim_smoke_optim_name_AdamFp8_bfloat16_device_mps"
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"test_optim_smoke_optim_name_AdamFp8_float32_device_mps"
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"test_subclass_slice_subclass0_shape1_device_mps"
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]
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++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64) [
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# Flaky: [gw0] node down: keyboard-interrupt
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"test_int8_weight_only_quant_with_freeze_0_cpu"
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"test_int8_weight_only_quant_with_freeze_1_cpu"
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"test_int8_weight_only_quant_with_freeze_2_cpu"
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# Illegal instruction in subclass_4bit.py::dequantize
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"test_subclass_slice"
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];
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disabledTestPaths = lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64) [
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disabledTestPaths = lib.optionals stdenv.hostPlatform.isDarwin [
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# Require unpackaged 'coremltools'
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"test/prototype/test_groupwise_lowbit_weight_lut_quantizer.py"
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@@ -208,6 +223,9 @@ buildPythonPackage rec {
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homepage = "https://github.com/pytorch/ao";
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changelog = "https://github.com/pytorch/ao/releases/tag/v${version}";
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license = lib.licenses.bsd3;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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maintainers = with lib.maintainers; [
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GaetanLepage
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sarahec
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];
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};
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}
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@@ -85,6 +85,9 @@ buildPythonPackage rec {
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writableTmpDirAsHomeHook
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];
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# Exclude `regression` which depends on a specific llama model and `recipies` which are sample code
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enabledTestPaths = [ "tests/torchtune" ];
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disabledTests = [
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# AssertionError (tensors are not equal)
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"test_stop_tokens"
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@@ -111,6 +114,21 @@ buildPythonPackage rec {
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++ lib.optionals (stdenv.hostPlatform.isLinux && stdenv.hostPlatform.isAarch64) [
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# Fatal Python error: Segmentation fault
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"test_forward_gqa"
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]
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++ lib.optionals stdenv.hostPlatform.isDarwin [
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# tests/torchtune/training/test_distributed.py
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"test_init_from_env_no_dup"
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"test_init_from_env_dup"
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];
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disabledTestPaths = lib.optionals stdenv.hostPlatform.isDarwin [
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# fail due to floating-point precision differences
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"tests/torchtune/models/flux/test_flux_autoencoder.py::TestFluxAutoencoder::test_encode"
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"tests/torchtune/modules/peft/test_dora.py::TestDoRALinear::test_qdora_parity[True-dtype1]"
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"tests/torchtune/modules/peft/test_lora.py::TestLoRALinear::test_qlora_parity[True-dtype1]"
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# hangs
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"tests/torchtune/utils"
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];
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meta = {
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@@ -118,6 +136,9 @@ buildPythonPackage rec {
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homepage = "https://github.com/meta-pytorch/torchtune";
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changelog = "https://github.com/meta-pytorch/torchtune/releases/tag/${src.tag}";
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license = lib.licenses.bsd3;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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maintainers = with lib.maintainers; [
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GaetanLepage
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sarahec
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];
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};
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}
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