Closed saichandrapandraju closed 3 years ago
Hi @stas00 ,
I ran your notebook that you mentioned here in colab and it gave this error -
[1/3] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=cpu_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/usr/local/lib/python3.7/dist-packages/deepspeed/ops/csrc/includes -I/usr/local/cuda/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include/torch/csrc/api/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include/TH -isystem /usr/local/lib/python3.7/dist-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /usr/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_75,code=sm_75 --compiler-options '-fPIC' -O3 --use_fast_math -std=c++14 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_HALF2_OPERATORS__ -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_75,code=compute_75 -c /usr/local/lib/python3.7/dist-packages/deepspeed/ops/csrc/adam/custom_cuda_kernel.cu -o custom_cuda_kernel.cuda.o [2/3] c++ -MMD -MF cpu_adam.o.d -DTORCH_EXTENSION_NAME=cpu_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/usr/local/lib/python3.7/dist-packages/deepspeed/ops/csrc/includes -I/usr/local/cuda/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include/torch/csrc/api/include -isystem /usr/local/lib/python3.7/dist-packages/torch/include/TH -isystem /usr/local/lib/python3.7/dist-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /usr/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++14 -O3 -std=c++14 -L/usr/local/cuda/lib64 -lcudart -lcublas -g -Wno-reorder -march=native -fopenmp -D__AVX256__ -c /usr/local/lib/python3.7/dist-packages/deepspeed/ops/csrc/adam/cpu_adam.cpp -o cpu_adam.o [3/3] c++ cpu_adam.o custom_cuda_kernel.cuda.o -shared -L/usr/local/lib/python3.7/dist-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/usr/local/cuda/lib64 -lcudart -o cpu_adam.so Loading extension module cpu_adam... Time to load cpu_adam op: 26.246264457702637 seconds Killing subprocess 468 Traceback (most recent call last): File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/usr/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/usr/local/lib/python3.7/dist-packages/deepspeed/launcher/launch.py", line 171, in <module> main() File "/usr/local/lib/python3.7/dist-packages/deepspeed/launcher/launch.py", line 161, in main sigkill_handler(signal.SIGTERM, None) # not coming back File "/usr/local/lib/python3.7/dist-packages/deepspeed/launcher/launch.py", line 139, in sigkill_handler raise subprocess.CalledProcessError(returncode=last_return_code, cmd=cmd) subprocess.CalledProcessError: Command '['/usr/bin/python3', '-u', 'examples/seq2seq/run_seq2seq.py', '--local_rank=0', '--model_name_or_path', 'google/mt5-small', '--output_dir', 'output_dir', '--adam_eps', '1e-06', '--evaluation_strategy=steps', '--do_train', '--label_smoothing', '0.1', '--learning_rate', '3e-5', '--logging_first_step', '--logging_steps', '1000', '--max_source_length', '128', '--max_target_length', '128', '--num_train_epochs', '1', '--overwrite_output_dir', '--per_device_train_batch_size', '16', '--predict_with_generate', '--sortish_sampler', '--val_max_target_length', '128', '--warmup_steps', '500', '--max_train_samples', '2000', '--max_val_samples', '500', '--task', 'translation_en_to_ro', '--dataset_name', 'wmt16', '--dataset_config', 'ro-en', '--source_prefix', 'translate English to Romanian: ', '--deepspeed', 'ds_config.json', '--fp16']' died with <Signals.SIGKILL: 9>.
Here is the full notebook with outputs.
No need to duplicate the reports - we will debug it in the Deepspeed land, in this issue: https://github.com/microsoft/DeepSpeed/issues/885#issuecomment-805942536
Hi @stas00 ,
I ran your notebook that you mentioned here in colab and it gave this error -
Here is the full notebook with outputs.