Apr 30 10:22:19   test_debug_info (__main__.DistAutogradTestWithSpawn) ... skip (0.005s) 
Apr 30 10:22:20   test_dist_autograd_profiling (__main__.DistAutogradTestWithSpawn) ... ok (1.291s) 
Apr 30 10:22:21   test_embedding_bag_with_no_grad_tensors (__main__.DistAutogradTestWithSpawn) ... [W pybind_utils.h:712] Warning: Using sparse tensors in TorchScript is experimental. Many optimization pathways have not been thoroughly tested with sparse tensors. Please include the fact that the network is running sparse tensors in any bug reports submitted. (function operator()) 
Apr 30 10:22:21 [W pybind_utils.h:712] Warning: Using sparse tensors in TorchScript is experimental. Many optimization pathways have not been thoroughly tested with sparse tensors. Please include the fact that the network is running sparse tensors in any bug reports submitted. (function operator()) 
Apr 30 10:22:21 [W pybind_utils.h:712] Warning: Using sparse tensors in TorchScript is experimental. Many optimization pathways have not been thoroughly tested with sparse tensors. Please include the fact that the network is running sparse tensors in any bug reports submitted. (function operator()) 
Apr 30 10:22:21 [W pybind_utils.h:712] Warning: Using sparse tensors in TorchScript is experimental. Many optimization pathways have not been thoroughly tested with sparse tensors. Please include the fact that the network is running sparse tensors in any bug reports submitted. (function operator()) 
Apr 30 10:22:21 ok (1.284s) 
Apr 30 10:22:22   test_error_in_context (__main__.DistAutogradTestWithSpawn) ... [E request_callback_impl.cpp:99] Received error while processing request type 15: size mismatch, m1: [3 x 3], m2: [6 x 6] at ../aten/src/TH/generic/THTensorMath.cpp:41 
Apr 30 10:22:22 [E request_callback_impl.cpp:99] Received error while processing request type 15: size mismatch, m1: [3 x 3], m2: [6 x 6] at ../aten/src/TH/generic/THTensorMath.cpp:41 
Apr 30 10:22:22 [E request_callback_impl.cpp:99] Received error while processing request type 15: size mismatch, m1: [3 x 3], m2: [6 x 6] at ../aten/src/TH/generic/THTensorMath.cpp:41 
Apr 30 10:22:22 [E request_callback_impl.cpp:99] Received error while processing request type 15: size mismatch, m1: [3 x 3], m2: [6 x 6] at ../aten/src/TH/generic/THTensorMath.cpp:41 
Apr 30 10:22:23 ok (1.243s) 
Apr 30 10:22:23   test_grad_copy_sparse_indices_extra_ref (__main__.DistAutogradTestWithSpawn) ... /Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py:1850: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 
Apr 30 10:22:23   warnings.warn("Argument order of nn.functional.embedding_bag was changed. " 
Apr 30 10:22:23 /Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py:1850: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 
Apr 30 10:22:23   warnings.warn("Argument order of nn.functional.embedding_bag was changed. " 
Apr 30 10:22:23 /Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py:1850: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 
Apr 30 10:22:23   warnings.warn("Argument order of nn.functional.embedding_bag was changed. " 
Apr 30 10:22:23 /Users/distiller/workspace/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py:1850: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 
Apr 30 10:22:23   warnings.warn("Argument order of nn.functional.embedding_bag was changed. " 
Apr 30 10:22:23 [W pybind_utils.h:712] Warning: Using sparse tensors in TorchScript is experimental. Many optimization pathways have not been thoroughly tested with sparse tensors. Please include the fact that the network is running sparse tensors in any bug reports submitted. (function operator())