arjundd/meddlr-data · Datasets at Hugging Face

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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",)
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 07:37:54] meddlr INFO: Running with full config:
AUG_TEST:
UNDERSAMPLE:
ACCELERATIONS: (6,)
AUG_TRAIN:
MOTION_P: 0.2
MRI_RECON:
AUG_SENSITIVITY_MAPS: True
SCHEDULER_P:
IGNORE: False
TRANSFORMS: ()
NOISE_P: 0.2
UNDERSAMPLE:
ACCELERATIONS: (6,)
CALIBRATION_SIZE: 20
CENTER_FRACTIONS: ()
MAX_ATTEMPTS: 30
NAME: PoissonDiskMaskFunc
USE_MOTION: False
USE_NOISE: False
CUDNN_BENCHMARK: False
DATALOADER:
ALT_SAMPLER:
PERIOD_SUPERVISED: 1
PERIOD_UNSUPERVISED: 1
DATA_KEYS: ()
DROP_LAST: True
FILTER:
BY: ()
GROUP_SAMPLER:
AS_BATCH_SAMPLER: False
BATCH_BY: ()
NUM_WORKERS: 8
PREFETCH_FACTOR: 2
SAMPLER_TRAIN:
SUBSAMPLE_TRAIN:
NUM_TOTAL: -1
NUM_TOTAL_BY_GROUP: ()
NUM_UNDERSAMPLED: 0
NUM_VAL: -1
NUM_VAL_BY_GROUP: ()
SEED: 1000
DATASETS:
TEST: ('mridata_knee_2019_test',)
TRAIN: ('mridata_knee_2019_train',)
VAL: ('mridata_knee_2019_val',)
DESCRIPTION:
BRIEF:
ENTITY_NAME: ss_recon
EXP_NAME:
PROJECT_NAME: ss_recon
TAGS: ()
MODEL:
A2R:
META_ARCHITECTURE: GeneralizedUnrolledCNN

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",)

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 07:37:54] meddlr INFO: Running with full config:

AUG_TEST:

UNDERSAMPLE:

ACCELERATIONS: (6,)

AUG_TRAIN:

MOTION_P: 0.2

MRI_RECON:

AUG_SENSITIVITY_MAPS: True

SCHEDULER_P:

IGNORE: False

TRANSFORMS: ()

NOISE_P: 0.2

UNDERSAMPLE:

ACCELERATIONS: (6,)

CALIBRATION_SIZE: 20

CENTER_FRACTIONS: ()

MAX_ATTEMPTS: 30

NAME: PoissonDiskMaskFunc

USE_MOTION: False

USE_NOISE: False

CUDNN_BENCHMARK: False

DATALOADER:

ALT_SAMPLER:

PERIOD_SUPERVISED: 1

PERIOD_UNSUPERVISED: 1

DATA_KEYS: ()

DROP_LAST: True

FILTER:

BY: ()

GROUP_SAMPLER:

AS_BATCH_SAMPLER: False

BATCH_BY: ()

NUM_WORKERS: 8

PREFETCH_FACTOR: 2

SAMPLER_TRAIN:

SUBSAMPLE_TRAIN:

NUM_TOTAL: -1

NUM_TOTAL_BY_GROUP: ()

NUM_UNDERSAMPLED: 0

NUM_VAL: -1

NUM_VAL_BY_GROUP: ()

SEED: 1000

DATASETS:

TEST: ('mridata_knee_2019_test',)

TRAIN: ('mridata_knee_2019_train',)

VAL: ('mridata_knee_2019_val',)

DESCRIPTION:

BRIEF:

ENTITY_NAME: ss_recon

EXP_NAME:

PROJECT_NAME: ss_recon

TAGS: ()

MODEL:

A2R:

META_ARCHITECTURE: GeneralizedUnrolledCNN