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io.UnsupportedOperation: fileno #1714

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jashokkumar83 opened this issue Apr 3, 2024 · 1 comment
Open

io.UnsupportedOperation: fileno #1714

jashokkumar83 opened this issue Apr 3, 2024 · 1 comment
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@zehao-intel

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@jashokkumar83
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Hi, I ran the resnet based quantization notebook. I am getting the following error. Please suggest me to solve this issue.

Used
!pip install tensorflow==2.12.0
!pip install neural-compressor==2.3.2

2024-04-03 17:45:54 [WARNING] Output tensor names should not be empty.
2024-04-03 17:45:54 [WARNING] Input tensor names is empty.
2024-04-03 17:45:54 [INFO] Start auto tuning.
2024-04-03 17:45:54 [INFO] Execute the tuning process due to detect the evaluation function.
2024-04-03 17:45:54 [INFO] Adaptor has 5 recipes.
2024-04-03 17:45:54 [INFO] 0 recipes specified by user.
2024-04-03 17:45:54 [INFO] 3 recipes require future tuning.
2024-04-03 17:45:55 [INFO] *** Initialize auto tuning
2024-04-03 17:45:55 [INFO] {
2024-04-03 17:45:55 [INFO]     'PostTrainingQuantConfig': {
2024-04-03 17:45:55 [INFO]         'AccuracyCriterion': {
2024-04-03 17:45:55 [INFO]             'criterion': 'relative',
2024-04-03 17:45:55 [INFO]             'higher_is_better': True,
2024-04-03 17:45:55 [INFO]             'tolerable_loss': 0.01,
2024-04-03 17:45:55 [INFO]             'absolute': None,
2024-04-03 17:45:55 [INFO]             'keys': <bound method AccuracyCriterion.keys of <neural_compressor.config.AccuracyCriterion object at 0x7fe19a6a3940>>,
2024-04-03 17:45:55 [INFO]             'relative': 0.01
2024-04-03 17:45:55 [INFO]         },
2024-04-03 17:45:55 [INFO]         'approach': 'post_training_static_quant',
2024-04-03 17:45:55 [INFO]         'backend': 'default',
2024-04-03 17:45:55 [INFO]         'calibration_sampling_size': [
2024-04-03 17:45:55 [INFO]             50,
2024-04-03 17:45:55 [INFO]             100
2024-04-03 17:45:55 [INFO]         ],
2024-04-03 17:45:55 [INFO]         'device': 'cpu',
2024-04-03 17:45:55 [INFO]         'diagnosis': False,
2024-04-03 17:45:55 [INFO]         'domain': 'auto',
2024-04-03 17:45:55 [INFO]         'example_inputs': None,
2024-04-03 17:45:55 [INFO]         'excluded_precisions': [
2024-04-03 17:45:55 [INFO]             'bf16'
2024-04-03 17:45:55 [INFO]         ],
2024-04-03 17:45:55 [INFO]         'framework': 'tensorflow',
2024-04-03 17:45:55 [INFO]         'inputs': [
2024-04-03 17:45:55 [INFO]         ],
2024-04-03 17:45:55 [INFO]         'model_name': '',
2024-04-03 17:45:55 [INFO]         'ni_workload_name': 'quantization',
2024-04-03 17:45:55 [INFO]         'op_name_dict': None,
2024-04-03 17:45:55 [INFO]         'op_type_dict': None,
2024-04-03 17:45:55 [INFO]         'outputs': [
2024-04-03 17:45:55 [INFO]         ],
2024-04-03 17:45:55 [INFO]         'quant_format': 'default',
2024-04-03 17:45:55 [INFO]         'quant_level': 'auto',
2024-04-03 17:45:55 [INFO]         'recipes': {
2024-04-03 17:45:55 [INFO]             'smooth_quant': False,
2024-04-03 17:45:55 [INFO]             'smooth_quant_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'layer_wise_quant': False,
2024-04-03 17:45:55 [INFO]             'layer_wise_quant_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'fast_bias_correction': False,
2024-04-03 17:45:55 [INFO]             'weight_correction': False,
2024-04-03 17:45:55 [INFO]             'gemm_to_matmul': True,
2024-04-03 17:45:55 [INFO]             'graph_optimization_level': None,
2024-04-03 17:45:55 [INFO]             'first_conv_or_matmul_quantization': True,
2024-04-03 17:45:55 [INFO]             'last_conv_or_matmul_quantization': True,
2024-04-03 17:45:55 [INFO]             'pre_post_process_quantization': True,
2024-04-03 17:45:55 [INFO]             'add_qdq_pair_to_weight': False,
2024-04-03 17:45:55 [INFO]             'optypes_to_exclude_output_quant': [
2024-04-03 17:45:55 [INFO]             ],
2024-04-03 17:45:55 [INFO]             'dedicated_qdq_pair': False,
2024-04-03 17:45:55 [INFO]             'rtn_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'awq_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'gptq_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'teq_args': {
2024-04-03 17:45:55 [INFO]             },
2024-04-03 17:45:55 [INFO]             'scale_propagation_max_pooling': True,
2024-04-03 17:45:55 [INFO]             'scale_propagation_concat': True
2024-04-03 17:45:55 [INFO]         },
2024-04-03 17:45:55 [INFO]         'reduce_range': None,
2024-04-03 17:45:55 [INFO]         'TuningCriterion': {
2024-04-03 17:45:55 [INFO]             'max_trials': 100,
2024-04-03 17:45:55 [INFO]             'objective': [
2024-04-03 17:45:55 [INFO]                 'performance'
2024-04-03 17:45:55 [INFO]             ],
2024-04-03 17:45:55 [INFO]             'strategy': 'basic',
2024-04-03 17:45:55 [INFO]             'strategy_kwargs': None,
2024-04-03 17:45:55 [INFO]             'timeout': 0
2024-04-03 17:45:55 [INFO]         },
2024-04-03 17:45:55 [INFO]         'use_bf16': False
2024-04-03 17:45:55 [INFO]     }
2024-04-03 17:45:55 [INFO] }
2024-04-03 17:45:55 [WARNING] [Strategy] Please install `mpi4py` correctly if using distributed tuning; otherwise, ignore this warning.
2024-04-03 17:45:56 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
2024-04-03 17:45:57 [INFO] ConvertLayoutOptimizer elapsed time: 0.99 ms
2024-04-03 17:45:57 [INFO] Pass ConvertPlaceholderToConst elapsed time: 10.88 ms
2024-04-03 17:45:57 [INFO] Pass SwitchOptimizer elapsed time: 11.71 ms
2024-04-03 17:45:58 [INFO] Pass GrapplerOptimizer elapsed time: 1271.68 ms
WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/neural_compressor/adaptor/tf_utils/util.py:384: extract_sub_graph (from tensorflow.python.framework.graph_util_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.
2024-04-03 17:45:58 [INFO] Pass StripUnusedNodesOptimizer elapsed time: 27.96 ms
2024-04-03 17:45:58 [INFO] Pass RemoveTrainingNodesOptimizer elapsed time: 16.04 ms
2024-04-03 17:45:58 [INFO] Pass SplitSharedInputOptimizer elapsed time: 7.08 ms
2024-04-03 17:45:58 [INFO] Pass GraphFoldConstantOptimizer elapsed time: 3.81 ms
2024-04-03 17:45:58 [INFO] Pass FuseDecomposedBNOptimizer elapsed time: 12.27 ms
2024-04-03 17:45:58 [INFO] Pass FuseColumnWiseMulOptimizer elapsed time: 9.19 ms
2024-04-03 17:45:58 [INFO] Pass StripUnusedNodesOptimizer elapsed time: 20.38 ms
2024-04-03 17:45:58 [INFO] Pass GraphCseOptimizer elapsed time: 11.89 ms
2024-04-03 17:45:59 [INFO] Pass FoldBatchNormNodesOptimizer elapsed time: 624.99 ms
2024-04-03 17:45:59 [INFO] Pass RenameBatchNormOptimizer elapsed time: 9.45 ms
2024-04-03 17:45:59 [INFO] Pass ConvertLeakyReluOptimizer elapsed time: 4.42 ms
2024-04-03 17:45:59 [INFO] Pass ConvertAddToBiasAddOptimizer elapsed time: 7.14 ms
2024-04-03 17:45:59 [INFO] Pass FuseTransposeReshapeOptimizer elapsed time: 6.01 ms
2024-04-03 17:45:59 [INFO] Pass FuseConvWithMathOptimizer elapsed time: 6.57 ms
2024-04-03 17:45:59 [INFO] Pass ExpandDimsOptimizer elapsed time: 6.32 ms
2024-04-03 17:45:59 [INFO] Pass FetchWeightFromReshapeOptimizer elapsed time: 6.12 ms
2024-04-03 17:45:59 [INFO] Pass MoveSqueezeAfterReluOptimizer elapsed time: 5.86 ms
2024-04-03 17:45:59 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
2024-04-03 17:45:59 [INFO] Pass InjectDummyBiasAddOptimizer elapsed time: 10.9 ms
2024-04-03 17:45:59 [WARNING] All replaced equivalent node types are {}
2024-04-03 17:45:59 [INFO] Pass StripEquivalentNodesOptimizer elapsed time: 36.49 ms
2024-04-03 17:46:00 [INFO] Pass Pre Optimization elapsed time: 3384.37 ms
2024-04-03 17:46:01 [INFO] Get FP32 model baseline.
  0%|          | 0/32 [00:00<?, ?it/s]2024-04-03 17:46:01 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
 94%|█████████▍| 30/32 [02:32<00:10,  5.08s/it]
2024-04-03 17:48:33 [INFO] Save tuning history to /content/nc_workspace/2024-04-03_17-45-25/./history.snapshot.
2024-04-03 17:48:33 [INFO] FP32 baseline is: [Accuracy: 0.7302, Duration (seconds): 152.3777]
2024-04-03 17:48:33 [INFO] Quantize the model with default config.
2024-04-03 17:48:33 [WARNING] Please note that calibration sampling size 50 isn't divisible exactly by batch size 32. So the real sampling size is 64.
2024-04-03 17:48:34 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
2024-04-03 17:48:35 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
2024-04-03 17:48:35 [WARNING] Found possible input node names: ['input'], output node names: ['predict'].
2024-04-03 17:48:37 [INFO] Pass Quantization elapsed time: 1409.96 ms
2024-04-03 17:48:39 [ERROR] Fail to quantize graph due to fileno.
2024-04-03 17:48:39 [ERROR] Unexpected exception UnsupportedOperation('fileno') happened during tuning.
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/quantization.py", line 223, in fit
    strategy.traverse()
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/strategy/auto.py", line 140, in traverse
    super().traverse()
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/strategy/strategy.py", line 504, in traverse
    q_model = self.adaptor.quantize(copy.deepcopy(tune_cfg), self.model, self.calib_dataloader, self.q_func)
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/utils/utility.py", line 301, in fi
    res = func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/adaptor/tensorflow.py", line 700, in quantize
    ).convert()
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/adaptor/tf_utils/graph_converter.py", line 401, in convert
    model = self.quantize()
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/adaptor/tf_utils/graph_converter.py", line 555, in quantize
    with CaptureOutputToFile(tmp_dump_file):
  File "/usr/local/lib/python3.10/dist-packages/neural_compressor/utils/utility.py", line 448, in __init__
    self.orig_stream_fileno = stream.fileno()
io.UnsupportedOperation: fileno
2024-04-03 17:48:39 [ERROR] Specified timeout or max trials is reached! Not found any quantized model which meet accuracy goal. Exit.

Thanks in Advance.
@zehao-intel
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Hi @jashokkumar83

It's very likely that the issue is caused by versions of related dependencies.
Could you please try the following combination:

jupyter_client 7.4.2
jupyter-core 4.11.1
jupyter-server 1.21.0
jupyterlab-pygments 0.2.2
notebook 6.5.1
notebook_shim 0.2.0

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