Description of problem: 镜像缺少tensorflow keras相关依赖，导致自带用例执行失败 Version-Release number of selected component (if applicable): 容器镜像信息： [root@localhost modelscope]# docker images REPOSITORY TAG IMAGE ID CREATED SIZE registry.openanolis.cn/openanolis/modelscope 1.10.0-an8 736efcaf9a7c 5 weeks ago 25.3GB How reproducible: 以gpu的方式创建并启动容器 docker create --gpus all -it -v /tmp:/tmp 736efcaf9a7c 进入容器后clone modelscope社区代码 git clone https://github.com/modelscope/modelscope.git cd modelscope 执行测试用例： [root@1a186991ac23 modelscope]# python3 /tmp/modelscope/tests/export/test_export_csanmt_model.py Traceback (most recent call last): File "/tmp/modelscope/tests/export/test_export_csanmt_model.py", line 8, in <module> import tensorflow as tf File "/opt/conda/lib/python3.8/site-packages/tensorflow/__init__.py", line 37, in <module> from tensorflow.python.tools import module_util as _module_util File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 45, in <module> from tensorflow.python.feature_column import feature_column_lib as feature_column File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/feature_column/feature_column_lib.py", line 18, in <module> from tensorflow.python.feature_column.feature_column import * File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/feature_column/feature_column.py", line 143, in <module> from tensorflow.python.layers import base File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/layers/base.py", line 16, in <module> from tensorflow.python.keras.legacy_tf_layers import base File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/keras/__init__.py", line 25, in <module> from tensorflow.python.keras import models File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/keras/models.py", line 22, in <module> from tensorflow.python.keras.engine import functional File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/keras/engine/functional.py", line 32, in <module> from tensorflow.python.keras.engine import training as training_lib File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 52, in <module> from tensorflow.python.keras.saving import hdf5_format File "/opt/conda/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 37, in <module> import h5py File "/opt/conda/lib/python3.8/site-packages/h5py/__init__.py", line 46, in <module> from ._conv import register_converters as _register_converters File "h5py/h5t.pxd", line 14, in init h5py._conv File "h5py/h5t.pyx", line 293, in init h5py.h5t File "/opt/conda/lib/python3.8/site-packages/numpy/__init__.py", line 320, in __getattr__ raise AttributeError("module {!r} has no attribute " AttributeError: module 'numpy' has no attribute 'typeDict' Steps to Reproduce: 同上 Actual results: 缺依赖执行失败 Expected results: 用例执行成功 Additional info: 对比ubuntu： root@ee8906738fa2:/tmp/modelscope# python3 /tmp/modelscope/tests/export/test_export_csanmt_model.py 2024-01-29 00:38:41.108613: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2024-01-29 00:38:41.108657: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 2024-01-29 00:38:41.108698: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2024-01-29 00:38:41.118416: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-01-29 00:38:42.049777: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2024-01-29 00:38:45,097 - modelscope - INFO - PyTorch version 2.1.0+cu118 Found. 2024-01-29 00:38:45,099 - modelscope - INFO - TensorFlow version 2.14.0 Found. 2024-01-29 00:38:45,099 - modelscope - INFO - Loading ast index from /mnt/workspace/.cache/modelscope/ast_indexer 2024-01-29 00:38:45,327 - modelscope - INFO - Loading done! Current index file version is 1.10.0, with md5 44f0b88effe82ceea94a98cf99709694 and a total number of 946 components indexed Testing TestExportTfModel.test_export_csanmt /opt/conda/lib/python3.10/tempfile.py:860: ResourceWarning: Implicitly cleaning up <TemporaryDirectory '/tmp/tmprbhxd_d7'> _warnings.warn(warn_message, ResourceWarning) 2024-01-29 00:38:51,798 - modelscope - WARNING - Model revision not specified, use revision: v1.0.1 Downloading: 100%|███████████████████████████████████████████| 345k/345k [00:00<00:00, 12.1MB/s] Downloading: 100%|███████████████████████████████████████████| 373k/373k [00:00<00:00, 13.0MB/s] Downloading: 100%|████████████████████████████████████████████| 69.0/69.0 [00:00<00:00, 804kB/s] Downloading: 100%|██████████████████████████████████████████▉| 783M/783M [01:05<00:00, 12.6MB/s] Downloading: 100%|█████████████████████████████████████████| 20.5k/20.5k [00:00<00:00, 3.55MB/s] Downloading: 100%|█████████████████████████████████████████| 2.01M/2.01M [00:00<00:00, 7.95MB/s] Downloading: 100%|█████████████████████████████████████████| 2.07k/2.07k [00:00<00:00, 23.1MB/s] Downloading: 100%|█████████████████████████████████████████| 62.5k/62.5k [00:00<00:00, 4.68MB/s] Downloading: 100%|█████████████████████████████████████████| 62.9k/62.9k [00:00<00:00, 4.89MB/s] Downloading: 100%|█████████████████████████████████████████| 9.32k/9.32k [00:00<00:00, 61.6MB/s] Downloading: 100%|█████████████████████████████████████████| 60.7k/60.7k [00:00<00:00, 4.91MB/s] Downloading: 100%|███████████████████████████████████████████| 320k/320k [00:00<00:00, 8.91MB/s] Downloading: 100%|███████████████████████████████████████████| 152k/152k [00:00<00:00, 7.91MB/s] Downloading: 100%|███████████████████████████████████████████| 138k/138k [00:00<00:00, 5.80MB/s] Downloading: 100%|███████████████████████████████████████████| 327k/327k [00:00<00:00, 6.10MB/s] 2024-01-29 00:40:03,023 - modelscope - INFO - initialize model from /mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base {'hidden_size': 512, 'filter_size': 2048, 'num_heads': 8, 'num_encoder_layers': 24, 'num_decoder_layers': 3, 'attention_dropout': 0, 'residual_dropout': 0, 'relu_dropout': 0, 'layer_preproc': 'layer_norm', 'layer_postproc': 'none', 'shared_embedding_and_softmax_weights': True, 'shared_source_target_embedding': False, 'initializer_scale': 0.1, 'position_info_type': 'absolute', 'max_relative_dis': 16, 'num_semantic_encoder_layers': 4, 'src_vocab_size': 50000, 'trg_vocab_size': 50000, 'seed': 1234, 'beam_size': 4, 'lp_rate': 0.6, 'max_decoded_trg_len': 100} 2024-01-29 00:40:03,886 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file. 2024-01-29 00:40:03,886 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'src_lang': 'en', 'tgt_lang': 'zh', 'src_bpe': {'file': 'bpe.en'}, 'model_dir': '/mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base'}. trying to build by task and model information. 2024-01-29 00:40:03,886 - modelscope - WARNING - No preprocessor key ('csanmt-translation', 'translation') found in PREPROCESSOR_MAP, skip building preprocessor. /opt/conda/lib/python3.10/site-packages/modelscope/pipelines/nlp/translation_pipeline.py:54: ResourceWarning: unclosed file <_io.TextIOWrapper name='/mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base/src_vocab.txt' mode='r' encoding='UTF-8'> self._src_vocab = dict([ ResourceWarning: Enable tracemalloc to get the object allocation traceback /opt/conda/lib/python3.10/site-packages/modelscope/pipelines/nlp/translation_pipeline.py:59: ResourceWarning: unclosed file <_io.TextIOWrapper name='/mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base/trg_vocab.txt' mode='r' encoding='UTF-8'> self._trg_rvocab = dict([ ResourceWarning: Enable tracemalloc to get the object allocation traceback 2024-01-29 00:40:04.630280: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:04.632046: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:04.703478: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:04.705162: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:04.706625: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:04.708081: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.045441: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.047282: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.048936: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.050418: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.051853: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.053221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13623 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:07.0, compute capability: 7.5 2024-01-29 00:40:06.053690: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:06.055091: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13623 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:08.0, compute capability: 7.5 /opt/conda/lib/python3.10/site-packages/modelscope/pipelines/nlp/translation_pipeline.py:84: ResourceWarning: unclosed file <_io.TextIOWrapper name='/mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base/bpe.en' mode='r' encoding='UTF-8'> self._bpe = apply_bpe.BPE(open(self._src_bpe_path)) ResourceWarning: Enable tracemalloc to get the object allocation traceback WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/modelscope/models/nlp/csanmt/translation.py:81: calling RandomNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/modelscope/models/nlp/csanmt/translation.py:793: calling while_loop_v2 (from tensorflow.python.ops.while_loop) with back_prop=False is deprecated and will be removed in a future version. Instructions for updating: back_prop=False is deprecated. Consider using tf.stop_gradient instead. Instead of: results = tf.while_loop(c, b, vars, back_prop=False) Use: results = tf.nest.map_structure(tf.stop_gradient, tf.while_loop(c, b, vars)) 2024-01-29 00:40:12.023386: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.025199: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.026829: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.028304: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.029746: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.031182: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.032874: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.034370: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.035809: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.037259: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.038657: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.040063: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.041534: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.042977: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.044397: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.045781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13623 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:07.0, compute capability: 7.5 2024-01-29 00:40:12.045886: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:12.047261: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13623 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:08.0, compute capability: 7.5 2024-01-29 00:40:12,131 - modelscope - INFO - loading model from /mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base/tf_ckpts/ckpt-0 INFO:tensorflow:Restoring parameters from /mnt/workspace/.cache/modelscope/damo/nlp_csanmt_translation_en2zh_base/tf_ckpts/ckpt-0 2024-01-29 00:40:12.620151: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:382] MLIR V1 optimization pass is not enabled WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/modelscope/exporters/nlp/csanmt_for_translation_exporter.py:46: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version. Instructions for updating: This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2. INFO:tensorflow:Assets added to graph. INFO:tensorflow:No assets to write. INFO:tensorflow:SavedModel written to: /tmp/tmprbhxd_d7/saved_model.pb 2024-01-29 00:40:17.377274: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.379102: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.380738: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.382211: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.383660: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.385112: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.386634: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.388141: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.389590: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.390992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13623 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:07.0, compute capability: 7.5 2024-01-29 00:40:17.391111: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355 2024-01-29 00:40:17.392467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13623 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:08.0, compute capability: 7.5 WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/modelscope/exporters/nlp/csanmt_for_translation_exporter.py:74: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.saved_model.load` instead. INFO:tensorflow:Restoring parameters from /tmp/tmprbhxd_d7/variables/variables WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/modelscope/exporters/nlp/csanmt_for_translation_exporter.py:83: get_tensor_from_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version. Instructions for updating: This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2. 2024-01-29 00:40:23,546 - modelscope - INFO - {'translation': '阿里巴巴集团的使命是让世界没有困难的生意'} {'model': '/tmp/tmprbhxd_d7'} . ---------------------------------------------------------------------- Ran 1 test in 95.292s OK