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The char model when converted
tensorflowjs_converter --output_node_names='frac_neg/predictions/probabilities' --input_format=tf_saved_model experiments/tf_char _cnn_local_model_dir/100000/1545431873/ experiments/tf_char_cnn_local_model_dir/100000/tfjs/
produces the following:
ValueError: Unsupported Ops in the model before optimization DecodeRaw, ParseExample, StringSplit
The text was updated successfully, but these errors were encountered:
Looking at ops missing in the current tf hub based model:
ParseExample, LookupTableFindV2, RegexReplace, HashTableV2, DynamicPartition, SparseSegmentSqrtN, StringToHashBucketFast, ParallelDynamicStitch, StringJoin, LookupTableSizeV2, Unique, SparseFillEmptyRows, StringSplit
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The char model when converted
tensorflowjs_converter --output_node_names='frac_neg/predictions/probabilities' --input_format=tf_saved_model experiments/tf_char
_cnn_local_model_dir/100000/1545431873/ experiments/tf_char_cnn_local_model_dir/100000/tfjs/
produces the following:
ValueError: Unsupported Ops in the model before optimization
DecodeRaw, ParseExample, StringSplit
The text was updated successfully, but these errors were encountered: