我正在尝试转换在pascal voc数据集（https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md）上训练的mobilenet_v2模型。
我想推断出1024x1024的分辨率，因此我使用以下命令导出了模型。
python export_model.py \
--checkpoint_path model/model.ckpt-30000 \
--export_path ./frozen_inference_graph.pb \
--model_variant="mobilenet_v2" \
--num_classes=21 \
--crop_size=1024 \
--crop_size=1024 \
--inference_scales=1.0
然后我使用toco命令将模型转换为tflite。
toco --graph_def_file=/home/abdullah/models-master/research /frozen_casted.pb --input_format=TENSORFLOW_GRAPHDEF
--output_format=TFLITE
--output_file=deeplabv3_mnv2_pascal_trainval.tflite
--inference_type=FLOAT --inference_input_type=QUANTIZED_UINT8
--input_arrays=ImageTensor
--output_arrays=SemanticPredictions
--input_shapes=1,1024,1024,3 --default_ranges_min=0
--default_ranges_max=255 --allow_custom_ops
--std_dev_values=128 --mean_values=1
然后将模型正确地转换为tflite：
2019-07-16 00:28:18.188009: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: Equal
2019-07-16 00:28:18.188052: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: Equal
2019-07-16 00:28:18.188067: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: LogicalOr
2019-07-16 00:28:18.188093: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: Unpack
2019-07-16 00:28:18.188134: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: LogicalAnd
2019-07-16 00:28:18.192256: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1171] Converting unsupported operation: ResizeNearestNeighbor
2019-07-16 00:28:18.203603: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before Removing unused ops: 813 operators, 1237 arrays (0 quantized)
2019-07-16 00:28:18.232795: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] After Removing unused ops pass 1: 801 operators, 1215 arrays (0 quantized)
2019-07-16 00:28:18.269909: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before general graph transformations: 801 operators, 1215 arrays (0 quantized)
2019-07-16 00:28:18.293777: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] After general graph transformations pass 1: 132 operators, 325 arrays (0 quantized)
2019-07-16 00:28:18.296414: I tensorflow/contrib/lite/toco/graph_transformations/graph_transformations.cc:39] Before dequantization graph transformations: 132 operators, 325 arrays (0 quantized)
2019-07-16 00:28:18.298905: I tensorflow/contrib/lite/toco/allocate_transient_arrays.cc:311] Total transient array allocated size: 28311552 bytes, theoretical optimal value: 25165824 bytes.
2019-07-16 00:28:18.299732: W tensorflow/contrib/lite/toco/tflite/operator.cc:661] Ignoring unsupported attribute type with key '_output_shapes'
2019-07-16 00:28:18.299743: W tensorflow/contrib/lite/toco/tflite/operator.cc:661] Ignoring unsupported attribute type with key 'T'
2019-07-16 00:28:18.299946: W tensorflow/contrib/lite/toco/tflite/operator.cc:661] Ignoring unsupported attribute type with key 'T'
2019-07-16 00:28:18.299956: W tensorflow/contrib/lite/toco/tflite/operator.cc:661] Ignoring unsupported attribute type with key '_output_shapes'
但是当我在tflite上运行模型时，会出现以下错误。
java.lang.IllegalArgumentException：内部错误：无法创建解释器：找不到版本1的名称“ ExpandDims”的自定义操作 注册失败。
为了进行转换，我使用了tensorflow tensorflow =='1.6.0-rc1'
build.gradle中的tflite实现是实现'org.tensorflow：tensorflow-lite：+'
我不知道我在哪里失败，请帮助我。