[compiled autograd] finish classifying tests (#134290)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/134290
Approved by: https://github.com/yf225
ghstack dependencies: #134186, #134200, #134205, #134286
diff --git a/test/inductor/test_compiled_autograd.py b/test/inductor/test_compiled_autograd.py
index 6a657b0..340d0ac 100644
--- a/test/inductor/test_compiled_autograd.py
+++ b/test/inductor/test_compiled_autograd.py
@@ -2483,6 +2483,18 @@
"test_save_none_for_backward", # assertIsNone
"test_saved_variables_deprecated", # warnings.warn
"test_autograd_node_isinstance", # assertIsInstance
+ "test_set_materialize_non_diff_grads", # assertIsNone
+ "test_backward_dict_grad_for_nontensor", # torch/_custom_op/autograd.py in skip files
+ "test_backward_dict_invalid_keys", # torch/_custom_op/autograd.py in skip files
+ "test_backward_dict_requires_keys_for_input_optional_tensors", # torch/_custom_op/autograd.py in skip files
+ "test_backward_dict_requires_keys_for_input_tensors", # torch/_custom_op/autograd.py in skip files
+ "test_backward_grads_are_tensor_or_none", # torch/_custom_op/autograd.py in skip files
+ "test_backward_impl_on_existing_op", # torch/_custom_op/autograd.py in skip files
+ "test_backward_returns_dict", # torch/_custom_op/autograd.py in skip files
+ "test_backward_tensorlist_input_requires_list_grads", # torch/_custom_op/autograd.py in skip files
+ "test_backward_tensorlist_input_requires_list_grads_none_or_Tensor", # torch/_custom_op/autograd.py in skip files
+ "test_backward_tensorlist_input_requires_list_grads_with_same_numel", # torch/_custom_op/autograd.py in skip files
+ "test_save_for_backward_inputs_are_namedtuple", # torch/_custom_op/autograd.py in skip files
}
test_contexts = {
@@ -2523,7 +2535,7 @@
"test_reentrant_child_error", # hangs when enabled with graph breaks
"test_accumulate_grad", # create_graph
"test_anomaly_assign_parent_cleanup", # create_graph
- "test_anomaly_mode_no_check_nan", # AnomalyMode
+ "test_anomaly_mode_no_check_nan", # anomaly mode
"test_backward_create_graph_warns", # create_graph
"test_backward_with_nonleaf_inputs", # create_graph
"test_create_graph_and_full_backward_hook_cycle", # create_graph
@@ -2568,6 +2580,11 @@
"test_reentrant_with_callbacks_depth_0", # probably hangs with graph breaks
"test_reentrant_with_callbacks_depth_1", # probably hangs with graph breaks
"test_save_output_nr", # output_nr grad passed as None
+ "test_setup_context_when_forward_has_default_args", # autograd.Function with class methods
+ "test_simple_reentrant", # hangs with graph breaks
+ "test_lobpcg", # create_graph
+ "test_grad_nonleaf_register_hook", # IndexError: list index out of range (NB: x.grad = y where both x and y are input tensors)
+ "test_backward_twice_without_saved_values", # https://github.com/pytorch/pytorch/issues/129938
# Category: Dynamo
"test_accumulate_grad_tensor_reference", # Out of bounds: frame_state_entry.stride[i] is None
"test_custom_function_exception", # torch.no_grad(), torch._dynamo.exc.Unsupported: missing: WITH_EXCEPT_START
@@ -2579,6 +2596,7 @@
"test_custom_function_non_tensor_inputs_outputs", # gradient batching rule not implemented for aten::sym_size.int
"test_return_duplicate", # gradient batching rule not implemented for aten::sym_size.int
"test_return_duplicate_inplace", # gradient batching rule not implemented for aten::sym_size.int
+ "test_setitem", # CopySlices accuracy error
# Category: Inductor
"test_input_buffer_accum", # does not support sparse_grad=True: https://github.com/pytorch/pytorch/issues/120267
"test_graph_save_on_cpu", # does not support pin_memory: https://github.com/pytorch/pytorch/issues/134173
@@ -2586,30 +2604,12 @@
"test_saving_variable_to_disk", # torch.save should no-op and be recorded in the graph
"test_wrapped_number_saved_variable_hooks", # Proxy tensor should carryover is_wrapped_number_ of its original
"test_grad_batched_grad", # torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi
+ "test_scalar_grad_mixed_device", # Fake Tensors aren't propagating device properly for 0-dim grads
# Category: Divergence from eager
"test_invalid_gradients", # can't give autograd error due to inaccurate output metadata of lifted backward
"test_autograd_node_isinstance", # backward ctx is a fake cls and not directly a Node instance
+ "test_unpack_hooks_exec_count", # saved tensor packed twice
# Uncategorized
- "test_set_materialize_non_diff_grads", # torch._dynamo.exc.Unsupported: 'inline in skipfiles: TestCase.assertIsNone
- "test_setup_context_when_forward_has_default_args", # torch._dynamo.exc.Unsupported: call_function args
- "test_simple_reentrant", # torch._dynamo.exc.Unsupported: call_method SkipFunctionVariable() sum [] {}
- "test_lobpcg", # torch._dynamo.exc.Unsupported: 'call_function LOBPCGAutogradFunction.backward in skip_files
- "test_backward_dict_grad_for_nontensor", # AssertionError: "non-Tensor-like types" does not match "'skip function
- "test_backward_dict_invalid_keys", # AssertionError: "to have keys {'x'}" does not match "'skip function
- "test_backward_dict_requires_keys_for_input_optional_tensors", # AssertionError: "to have keys {.*'y'.*}"
- "test_backward_dict_requires_keys_for_input_tensors", # AssertionError: "to have keys {.*'y'.*}" does not
- "test_backward_grads_are_tensor_or_none", # AssertionError: "either None or a Tensor" does not match "'
- "test_backward_impl_on_existing_op", # torch._dynamo.exc.Unsupported: 'skip function
- "test_backward_returns_dict", # AssertionError: "to be a dict" does not match "'skip function
- "test_backward_tensorlist_input_requires_list_grads", # AssertionError: "list of gradients" does not
- "test_backward_tensorlist_input_requires_list_grads_none_or_Tensor", # AssertionError: "None or Tensor"
- "test_backward_tensorlist_input_requires_list_grads_with_same_numel", # AssertionError: "3 gradients
- "test_save_for_backward_inputs_are_namedtuple", # torch._dynamo.exc.Unsupported: 'skip function
- "test_setitem", # AssertionError: Tensor-likes are not close!
- "test_grad_nonleaf_register_hook", # IndexError: list index out of range (NB: x.grad = y where both x and y are input tensors)
- "test_unpack_hooks_exec_count", # pack/unpack saved tensor hooks firing more than once
- "test_scalar_grad_mixed_device", # Fake Tensors aren't propagating device properly for 0-dim grads
- "test_backward_twice_without_saved_values", # https://github.com/pytorch/pytorch/issues/129938
}
if not HAS_CUDA:
