/home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/u35987/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) WARNING:tensorflow:From train.py:30: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. WARNING:tensorflow:From train.py:31: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead. 2019-12-18 12:28:26.294160: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX2 AVX512F FMA To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags. User settings: KMP_AFFINITY=granularity=fine,compact,1,0 KMP_BLOCKTIME=0 KMP_DUPLICATE_LIB_OK=True KMP_SETTINGS=TRUE OMP_NUM_THREADS=6 Effective settings: KMP_ABORT_DELAY=0 KMP_ADAPTIVE_LOCK_PROPS='1,1024' KMP_ALIGN_ALLOC=64 KMP_ALL_THREADPRIVATE=128 KMP_ATOMIC_MODE=2 KMP_BLOCKTIME=0 KMP_CPUINFO_FILE: value is not defined KMP_DETERMINISTIC_REDUCTION=false KMP_DEVICE_THREAD_LIMIT=2147483647 KMP_DISP_HAND_THREAD=false KMP_DISP_NUM_BUFFERS=7 KMP_DUPLICATE_LIB_OK=true KMP_ENABLE_TASK_THROTTLING=true KMP_FORCE_MONOTONIC_DYNAMIC_SCHEDULE=false KMP_FORCE_REDUCTION: value is not defined KMP_FOREIGN_THREADS_THREADPRIVATE=true KMP_FORKJOIN_BARRIER='2,2' KMP_FORKJOIN_BARRIER_PATTERN='hyper,hyper' KMP_FORKJOIN_FRAMES=true KMP_FORKJOIN_FRAMES_MODE=3 KMP_GTID_MODE=3 KMP_HANDLE_SIGNALS=false KMP_HOT_TEAMS_MAX_LEVEL=1 KMP_HOT_TEAMS_MODE=0 KMP_INIT_AT_FORK=true KMP_ITT_PREPARE_DELAY=0 KMP_LIBRARY=throughput KMP_LOCK_KIND=tas KMP_MALLOC_POOL_INCR=1M KMP_MWAIT_HINTS=0 KMP_NUM_LOCKS_IN_BLOCK=1 KMP_PLAIN_BARRIER='2,2' KMP_PLAIN_BARRIER_PATTERN='hyper,hyper' KMP_REDUCTION_BARRIER='1,1' KMP_REDUCTION_BARRIER_PATTERN='hyper,hyper' KMP_SCHEDULE='static,balanced;guided,iterative' KMP_SETTINGS=true KMP_SPIN_BACKOFF_PARAMS='4096,100' KMP_STACKOFFSET=64 KMP_STACKPAD=0 KMP_STACKSIZE=12M KMP_STORAGE_MAP=false KMP_TASKING=2 KMP_TASKLOOP_MIN_TASKS=0 KMP_TASK_STEALING_CONSTRAINT=1 KMP_TEAMS_THREAD_LIMIT=24 KMP_TOPOLOGY_METHOD=all KMP_USER_LEVEL_MWAIT=false KMP_USE_YIELD=1 KMP_VERSION=false KMP_WARNINGS=true OMP_AFFINITY_FORMAT='OMP: pid %P tid %i thread %n bound to OS proc set {%A}' OMP_ALLOCATOR=omp_default_mem_alloc OMP_CANCELLATION=false OMP_DEBUG=disabled OMP_DEFAULT_DEVICE=0 OMP_DISPLAY_AFFINITY=false OMP_DISPLAY_ENV=false OMP_DYNAMIC=false OMP_MAX_ACTIVE_LEVELS=1 OMP_MAX_TASK_PRIORITY=0 OMP_NESTED: deprecated; max-active-levels-var=1 OMP_NUM_THREADS='6' OMP_PLACES: value is not defined OMP_PROC_BIND='intel' OMP_SCHEDULE='static' OMP_STACKSIZE=12M OMP_TARGET_OFFLOAD=DEFAULT OMP_THREAD_LIMIT=2147483647 OMP_TOOL=enabled OMP_TOOL_LIBRARIES: value is not defined OMP_WAIT_POLICY=PASSIVE KMP_AFFINITY='noverbose,warnings,respect,granularity=fine,compact,1,0' 2019-12-18 12:28:26.325062: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3400000000 Hz 2019-12-18 12:28:26.327371: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a763508d70 executing computations on platform Host. Devices: 2019-12-18 12:28:26.327416: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): , WARNING:tensorflow:From train.py:32: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. WARNING:tensorflow:From /home/u35987/.local/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py:1354: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where 2019-12-18 12:29:10.088583: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. terminate called after throwing an instance of 'Xbyak::Error' what(): code is too big /var/spool/torque/mom_priv/jobs/448609.v-qsvr-1.aidevcloud.SC: line 14: 20331 Aborted python train.py