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December 12, 2023 04:29
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| ============================================================================================================================== FAILURES =============================================================================================================================== | |
| ___________________________________________________________________________________________________ TestControlFlowTraced.test_cond_vmap_multiple_args_with_closure ___________________________________________________________________________________________________ | |
| test/functorch/test_control_flow.py:1714: in test_cond_vmap_multiple_args_with_closure | |
| res = torch.vmap(fn)(a, b) | |
| torch/_functorch/apis.py:188: in wrapped | |
| return vmap_impl(func, in_dims, out_dims, randomness, chunk_size, *args, **kwargs) | |
| torch/_functorch/vmap.py:287: in vmap_impl | |
| return wrapper() | |
| torch/_dynamo/eval_frame.py:501: in _fn | |
| return fn(*args, **kwargs) | |
| torch/_dynamo/external_utils.py:17: in inner | |
| return fn(*args, **kwargs) | |
| torch/_functorch/vmap.py:283: in wrapper | |
| return _flat_vmap( | |
| torch/_functorch/vmap.py:44: in fn | |
| return f(*args, **kwargs) | |
| torch/_functorch/vmap.py:398: in _flat_vmap | |
| batched_outputs = func(*batched_inputs, **kwargs) | |
| test/functorch/test_control_flow.py:1707: in fn | |
| return torch.cond( | |
| torch/_higher_order_ops/cond.py:151: in cond | |
| return torch.compile(cond_op, backend="eager", fullgraph=True)( | |
| torch/_dynamo/eval_frame.py:501: in _fn | |
| return fn(*args, **kwargs) | |
| torch/_dynamo/eval_frame.py:667: in catch_errors | |
| return callback(frame, cache_entry, hooks, frame_state) | |
| torch/_dynamo/convert_frame.py:383: in _convert_frame_assert | |
| compiled_product = _compile( | |
| torch/_dynamo/convert_frame.py:665: in _compile | |
| raise InternalTorchDynamoError(str(e)).with_traceback( | |
| torch/_dynamo/convert_frame.py:646: in _compile | |
| guarded_code = compile_inner(code, one_graph, hooks, transform) | |
| torch/_dynamo/utils.py:244: in time_wrapper | |
| r = func(*args, **kwargs) | |
| torch/_dynamo/convert_frame.py:562: in compile_inner | |
| out_code = transform_code_object(code, transform) | |
| torch/_dynamo/bytecode_transformation.py:1033: in transform_code_object | |
| transformations(instructions, code_options) | |
| torch/_dynamo/convert_frame.py:151: in _fn | |
| return fn(*args, **kwargs) | |
| torch/_dynamo/convert_frame.py:527: in transform | |
| tracer.run() | |
| torch/_dynamo/symbolic_convert.py:2096: in run | |
| super().run() | |
| torch/_dynamo/symbolic_convert.py:781: in run | |
| and self.step() | |
| torch/_dynamo/symbolic_convert.py:744: in step | |
| getattr(self, inst.opname)(inst) | |
| torch/_dynamo/symbolic_convert.py:463: in wrapper | |
| return inner_fn(self, inst) | |
| torch/_dynamo/symbolic_convert.py:1205: in CALL_FUNCTION_EX | |
| if not isinstance( | |
| torch/_dynamo/variables/base.py:133: in __instancecheck__ | |
| instance = instance.realize() | |
| torch/_dynamo/variables/lazy.py:56: in realize | |
| self._cache.realize(self.parents_tracker) | |
| torch/_dynamo/variables/lazy.py:22: in realize | |
| self.vt = VariableBuilder(tx, self.source)(self.value) | |
| torch/_dynamo/variables/builder.py:245: in __call__ | |
| vt = self._wrap(value) | |
| torch/_dynamo/variables/builder.py:387: in _wrap | |
| return type_dispatch(self, value) | |
| torch/_dynamo/variables/builder.py:842: in wrap_listlike | |
| output = [ | |
| torch/_dynamo/variables/builder.py:843: in <listcomp> | |
| VariableBuilder(self.tx, GetItemSource(self.get_source(), i))(item) | |
| torch/_dynamo/variables/builder.py:245: in __call__ | |
| vt = self._wrap(value) | |
| torch/_dynamo/variables/builder.py:387: in _wrap | |
| return type_dispatch(self, value) | |
| torch/_dynamo/variables/builder.py:842: in wrap_listlike | |
| output = [ | |
| torch/_dynamo/variables/builder.py:843: in <listcomp> | |
| VariableBuilder(self.tx, GetItemSource(self.get_source(), i))(item) | |
| torch/_dynamo/variables/builder.py:245: in __call__ | |
| vt = self._wrap(value) | |
| torch/_dynamo/variables/builder.py:387: in _wrap | |
| return type_dispatch(self, value) | |
| torch/_dynamo/variables/builder.py:1070: in wrap_tensor | |
| tensor_variable = wrap_fx_proxy( | |
| torch/_dynamo/variables/builder.py:1320: in wrap_fx_proxy | |
| return wrap_fx_proxy_cls(target_cls=TensorVariable, **kwargs) | |
| torch/_dynamo/variables/builder.py:1454: in wrap_fx_proxy_cls | |
| specialized_props = target_cls.specialize(example_value) | |
| torch/_dynamo/variables/tensor.py:162: in specialize | |
| [ | |
| torch/_dynamo/variables/tensor.py:165: in <listcomp> | |
| if value.is_contiguous(memory_format=x) | |
| E torch._dynamo.exc.InternalTorchDynamoError: NYI: querying is_contiguous inside of vmap for memory_format other than torch.contiguous_format | |
| E | |
| E from user code: | |
| E File "/home/guilhermeleobas/git/pytorch/torch/_dynamo/external_utils.py", line 17, in inner | |
| E return fn(*args, **kwargs) | |
| E | |
| E Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information | |
| E | |
| E | |
| E You can suppress this exception and fall back to eager by setting: | |
| E import torch._dynamo | |
| E torch._dynamo.config.suppress_errors = True | |
| E | |
| E | |
| E To execute this test, run the following from the base repo dir: | |
| E python test/functorch/test_control_flow.py -k test_cond_vmap_multiple_args_with_closure | |
| E | |
| E This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 |
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