re-enable torchinductor tests on osx; remove skips

Author: h-vetinari

recipe/meta.yaml

@@ -423,13 +423,9 @@ outputs:
         ]) %}
         # tests torch.compile; avoid on aarch because it adds >4h in test runtime in emulation;
         # they add a lot of runtime (15->60min on windows), so run them for only one python version
-        {% set tests = tests ~ " test/inductor/test_torchinductor.py" %}    # [py==312 and not (aarch64 or osx)]
+        {% set tests = tests ~ " test/inductor/test_torchinductor.py" %}    # [py==312 and not aarch64]
 
         {% set skips = "(TestTorch and test_print)" %}
-        # minor tolerance violations
-        {% set skips = skips ~ " or test_1_sized_with_0_strided_cpu_float32" %}         # [osx]
-        {% set skips = skips ~ " or test_batchnorm_nhwc_cpu" %}                         # [unix]
-        {% set skips = skips ~ " or test_layer_norm_backwards_eps" %}                   # [unix]
         # timeouts and failures on aarch, see https://github.com/conda-forge/pytorch-cpu-feedstock/pull/298#issuecomment-2555888508
         {% set skips = skips ~ " or test_pynode_destruction_deadlock" %}                # [aarch64]
         {% set skips = skips ~ " or (TestLinalgCPU and test_cholesky_cpu_float32)" %}   # [aarch64]
@@ -446,12 +442,6 @@ outputs:
         {% set skips = skips ~ " or test_addbmm or test_baddbmm or test_bmm" %}         # [aarch64]
         # doesn't crash, but gets different result on aarch + CUDA
         {% set skips = skips ~ " or illcondition_matrix_input_should_not_crash_cpu" %}  # [aarch64 and cuda_compiler_version != "None"]
-        # may crash spuriously
-        {% set skips = skips ~ " or (TestAutograd and test_profiler_seq_nr)" %}
-        {% set skips = skips ~ " or (TestAutograd and test_profiler_propagation)" %}
-        # tests that fail due to resource clean-up issues (non-unique temporary libraries), see
-        # https://github.com/conda-forge/pytorch-cpu-feedstock/pull/318#issuecomment-2620080859
-        {% set skips = skips ~ " or test_mutable_custom_op_fixed_layout" %}
         # trivial accuracy problems
         {% set skips = skips ~ " or test_BCELoss_weights_no_reduce_cuda" %}             # [linux and cuda_compiler_version != "None"]
         {% set skips = skips ~ " or test_ctc_loss_cudnn_tensor_cuda" %}                 # [linux and cuda_compiler_version != "None"]
@@ -483,10 +473,6 @@ outputs:
         {% set skips = skips ~ " or (TestLinalgCPU and test_inverse_errors_large_cpu)" %}   # [linux and blas_impl == "mkl" and cuda_compiler_version != "None"]
         # non-MKL problems
         {% set skips = skips ~ " or test_gather_scatter_cpu or test_index_put2_cpu" %}      # [linux and blas_impl != "mkl" and cuda_compiler_version != "None"]
-        # these tests are failing with low -n values
-        {% set skips = skips ~ " or test_base_does_not_require_grad_mode_nothing" %}
-        {% set skips = skips ~ " or test_base_does_not_require_grad_mode_warn" %}
-        {% set skips = skips ~ " or test_composite_registered_to_cpu_mode_nothing" %}
         # these tests are failing on windows
         {% set skips = skips ~ " or (TestMkldnnCPU and test_batch_norm_2d_cpu)" %}       # [win]
         {% set skips = skips ~ " or (TestNN and test_Conv1d_dilated)" %}                 # [win]
@@ -499,12 +485,6 @@ outputs:
         {% set skips = skips ~ " or (TestNN and test_Conv3d_pad_same_dilated)" %}        # [win]
         {% set skips = skips ~ " or (TestNN and test_Conv3d_stride)" %}                  # [win]
         {% set skips = skips ~ " or (TestNN and test_Conv3d_stride_padding)" %}          # [win]
-        # flaky test, fragile to GC behavior
-        {% set skips = skips ~ " or (TestTorch and test_tensor_cycle_via_slots)" %}
-        # unexpected success
-        {% set skips = skips ~ " or test_forward_nn_Bilinear_mps_float16" %}            # [osx and arm64]
-        # "quantized engine NoQEngine is not supported"
-        {% set skips = skips ~ " or test_qengine" %}                                    # [osx and arm64]
 
         # the whole test suite takes forever, but we should get a good enough coverage
         # for potential packaging problems by running a fixed subset