You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi!
After running tensorspacejs_converter for tensorflow frozen model I got an error, can you help to handle with this:
ValueError: Unsupported Ops in the model before optimization
QueueDequeueManyV2, MaxPoolGrad, Assign, ScalarSummary, ReluGrad, L2Loss, VariableV2, BiasAddGrad, QueueEnqueueV2, TruncatedNormal, PreventGradient, ApplyMomentum, MergeSummary, Multinomial, QueueCloseV2, QueueEnqueueManyV2, AssignAdd, AdjustContrastv2, SparseSoftmaxCrossEntropyWithLogits, RandomStandardNormal, FusedBatchNormGrad, InTopKV2, BroadcastGradientArgs, Conv2DBackpropFilter, QueueSizeV2, RestoreV2, SaveV2, QueueDequeueV2, FIFOQueueV2, PyFunc, DynamicStitch
To support conversion of different type of TensorFlow models:
The text was updated successfully, but these errors were encountered: