我有.pb格式的vgg16截断版。我无法使用OpenVino模型优化器转换为IR，得到以下错误。
[ ANALYSIS INFO ] 看起来有IteratorGetNext作为输入，运行模型优化器。 --input "IteratorGetNext:0[-1 224 224 3]"并将所有负值替换为正值[ ERROR ] 在运行替换器 "REPLACEMENT_ID"()时发生异常。执行 "REPLACEMENT_ID"()后，图形包含0个节点。这被认为是一个错误，因为生成的IR将是空的，这是不正常的。
python3 /opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo_tf.py --input_model model.pb
With *.meta
python3 /opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo_tf.py --input_meta_graph model.meta --log_level DEBUG
[ 2020-06-11 10:59:34,182 ] [ DEBUG ] [ main:213 ] Placeholder shapes : None
'extensions.back.ScalarConstNormalize.RangeInputNormalize'>
| 310 | True | <class 'extensions.back.AvgPool.AvgPool'>
| 311 | True | <class 'extensions.back.ReverseInputChannels.ApplyReverseChannels'>
| 312 | True | <class 'extensions.back.split_normalizer.SplitNormalizer'>
| 313 | True | <class 'extensions.back.ParameterToPlaceholder.ParameterToInput'>
| 314 | True | <class 'extensions.back.GroupedConvWeightsNormalize.GroupedConvWeightsNormalize'>
| 315 | True | <class 'extensions.back.ConvolutionNormalizer.DeconvolutionNormalizer'>
| 316 | True | <class 'extensions.back.StridedSliceMasksNormalizer.StridedSliceMasksNormalizer'>
| 317 | True | <class 'extensions.back.ConvolutionNormalizer.ConvolutionWithGroupsResolver'>
| 318 | True | <class 'extensions.back.ReshapeMutation.ReshapeMutation'>
| 319 | True | <class 'extensions.back.ForceStrictPrecision.ForceStrictPrecision'>
| 320 | True | <class 'extensions.back.I64ToI32.I64ToI32'>
| 321 | True | <class 'extensions.back.ReshapeMutation.DisableReshapeMutationInTensorIterator'>
| 322 | True | <class 'extensions.back.ActivationsNormalizer.ActivationsNormalizer'>
| 323 | True | <class 'extensions.back.pass_separator.BackFinish'>
| 324 | False | <class 'extensions.back.SpecialNodesFinalization.RemoveConstOps'>
| 325 | False | <class 'extensions.back.SpecialNodesFinalization.CreateConstNodesReplacement'>
| 326 | True | <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'>
| 327 | False | <class 'extensions.back.SpecialNodesFinalization.RemoveOutputOps'>
| 328 | True | <class 'extensions.back.blob_normalizer.BlobNormalizer'>
| 329 | False | <class 'extensions.middle.MulFakeQuantizeFuse.MulFakeQuantizeFuse'>
| 330 | False | <class 'extensions.middle.AddFakeQuantizeFuse.AddFakeQuantizeFuse'>
[ 2020-06-11 10:59:34,900 ] [ DEBUG ] [ class_registration:282 ] Run replacer <class 'extensions.load.tf.loader.TFLoader'>
[ INFO ] Restoring parameters from %s
[ WARNING ] From %s: %s (from %s) is deprecated and will be removed %s.
Instructions for updating:
%s
[ WARNING ] From %s: %s (from %s) is deprecated and will be removed %s.
Instructions for updating:
%s
[ FRAMEWORK ERROR ] Cannot load input model: Attempting to use uninitialized value metrics/accuracy/total
[[{{node _retval_metrics/accuracy/total_0_54}}]]
[ 2020-06-11 10:59:35,760 ] [ DEBUG ] [ main:328 ] Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value metrics/accuracy/total
[[{{node _retval_metrics/accuracy/total_0_54}}]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/front/tf/loader.py", line 220, in load_tf_graph_def
outputs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/framework/graph_util_impl.py", line 330, in convert_variables_to_constants
returned_variables = sess.run(variable_names)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value metrics/accuracy/total
[[{{node _retval_metrics/accuracy/total_0_54}}]]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 288, in apply_transform
for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively
func(graph)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/extensions/load/loader.py", line 27, in find_and_replace_pattern
self.load(graph)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/extensions/load/tf/loader.py", line 58, in load
saved_model_tags=argv.saved_model_tags)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/front/tf/loader.py", line 231, in load_tf_graph_def
raise FrameworkError('Cannot load input model: {}', e) from e
mo.utils.error.FrameworkError: Cannot load input model: Attempting to use uninitialized value metrics/accuracy/total
[[{{node _retval_metrics/accuracy/total_0_54}}]]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/main.py", line 312, in main
ret_code = driver(argv)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/main.py", line 273, in driver
ret_res = emit_ir(prepare_ir(argv), argv)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/main.py", line 238, in prepare_ir
graph = unified_pipeline(argv)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/pipeline/unified.py", line 29, in unified_pipeline
class_registration.ClassType.BACK_REPLACER
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 334, in apply_replacements
apply_replacements_list(graph, replacers_order)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 324, in apply_replacements_list
num_transforms=len(replacers_order))
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/utils/logger.py", line 124, in wrapper
function(*args, **kwargs)
File "/opt/intel/openvino_2020.3.194/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 306, in apply_transform
raise FrameworkError('{}'.format(str(err))) from err
mo.utils.error.FrameworkError: Cannot load input model: Attempting to use uninitialized value metrics/accuracy/total
[[{{node _retval_metrics/accuracy/total_0_54}}]]
问题是在TensorFlow中训练的模型有一些形状未定义。在你的情况下，看起来输入的批次没有定义。为了解决这个问题，请在命令行中增加一个参数。-b 1. 该选项将batch设置为1，应该可以解决这个特殊问题。
之后，我想，你可能会遇到其他问题，所以我会留下以下链接。转换TensorFlow模型.有一些关于如何将TensorFlow模型转换为IR的提示。