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[01/08 07:36:30] meddlr INFO: Running in debug mode

[01/08 07:36:30] meddlr INFO: Environment info:

------------------- ----------------------------------------------------------------------------------------------

sys.platform linux

Python 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]

numpy 1.20.3

PyTorch 1.7.1 @/bmrNAS/people/arjun/miniconda3/envs/meddlr_env/lib/python3.7/site-packages/torch

PyTorch debug build False

CUDA available False

Pillow 8.4.0

torchvision 0.8.2 @/bmrNAS/people/arjun/miniconda3/envs/meddlr_env/lib/python3.7/site-packages/torchvision

SLURM_JOB_ID slurm not detected

------------------- ----------------------------------------------------------------------------------------------

PyTorch built with:

- GCC 7.3

- C++ Version: 201402

- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications

- Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)

- OpenMP 201511 (a.k.a. OpenMP 4.5)

- NNPACK is enabled

- CPU capability usage: AVX

- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

[01/08 07:36:30] meddlr INFO: Command line arguments: Namespace(auto_version=False, config_file='../configs/tests/basic.yaml', debug=True, devices=None, eval_only=False, num_gpus=1, opts=['DATALOADER.NUM_WORKERS', '8', 'SOLVER.MAX_ITER', '1600', 'SOLVER.CHECKPOINT_PERIOD', '200', 'TEST.EVAL_PERIOD', '200'], reproducible=False, restart_iter=False, resume=False)

[01/08 07:36:30] meddlr INFO: Contents of args.config_file=../configs/tests/basic.yaml:

# Basic testing config

# Use this for any testing you may want to do in the future.

# The model will be trained for 60 iterations (not epochs)

# on the mridata.org 2019 knee dataset.

MODEL:

UNROLLED:

NUM_UNROLLED_STEPS: 8

NUM_RESBLOCKS: 2

NUM_FEATURES: 128

DROPOUT: 0.

DATASETS:

TRAIN: ("mridata_knee_2019_train",)

VAL: ("mridata_knee_2019_val",)

TEST: ("mridata_knee_2019_test",)

DATALOADER:

NUM_WORKERS: 0 # for debugging purposes

SOLVER:

TRAIN_BATCH_SIZE: 1

TEST_BATCH_SIZE: 2

CHECKPOINT_PERIOD: 20

MAX_ITER: 80

TEST:

EVAL_PERIOD: 40

VIS_PERIOD: 20

TIME_SCALE: "iter"

OUTPUT_DIR: "results://tests/basic"

VERSION: 1

[01/08 07:37:52] meddlr INFO: Running in debug mode

[01/08 07:37:54] meddlr INFO: Environment info:

---------------------- ----------------------------------------------------------------------------------------------

sys.platform linux

Python 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]

numpy 1.20.3

PyTorch 1.7.1 @/bmrNAS/people/arjun/miniconda3/envs/meddlr_env/lib/python3.7/site-packages/torch

PyTorch debug build False

CUDA available True

GPU 0 GeForce RTX 2080 Ti

CUDA_HOME /usr/local/cuda

NVCC Cuda compilation tools, release 9.0, V9.0.176

Pillow 8.4.0

torchvision 0.8.2 @/bmrNAS/people/arjun/miniconda3/envs/meddlr_env/lib/python3.7/site-packages/torchvision

torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75

SLURM_JOB_ID 29543

---------------------- ----------------------------------------------------------------------------------------------

PyTorch built with:

- GCC 7.3

- C++ Version: 201402

- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications

- Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)

- OpenMP 201511 (a.k.a. OpenMP 4.5)

- NNPACK is enabled

- CPU capability usage: AVX2

- CUDA Runtime 10.2

- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37

- CuDNN 7.6.5

- Magma 2.5.2

- Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

[01/08 07:37:54] meddlr INFO: Command line arguments: Namespace(auto_version=False, config_file='../configs/tests/basic.yaml', debug=True, devices=None, eval_only=False, num_gpus=1, opts=['DATALOADER.NUM_WORKERS', '8', 'SOLVER.MAX_ITER', '1600', 'SOLVER.CHECKPOINT_PERIOD', '200', 'TEST.EVAL_PERIOD', '200'], reproducible=False, restart_iter=False, resume=False)

[01/08 07:37:54] meddlr INFO: Contents of args.config_file=../configs/tests/basic.yaml:

# Basic testing config

# Use this for any testing you may want to do in the future.

# The model will be trained for 60 iterations (not epochs)

# on the mridata.org 2019 knee dataset.

MODEL:

UNROLLED:

NUM_UNROLLED_STEPS: 8

NUM_RESBLOCKS: 2

NUM_FEATURES: 128

DROPOUT: 0.

DATASETS:

TRAIN: ("mridata_knee_2019_train",)

VAL: ("mridata_knee_2019_val",)