Comments (3)
LoadModel
accepts a path because the SavedModel serialization serialize and stores the model as a folder.
The support for frozen models (e.g.models all in one, with variables + structures all of them converted to a single optimized .pb) has been deprecated in TensorFlow 2.0 and it is going to be removed soon - that's why I support only loading from disk.
But maybe I misunderstood your question: do you have a SavedModel loaded in []byte
? If yes, how did you loaded it?
If instead, as I thought, you have a .pb
file read as a []byte
this is not supported with tfgo.
It was present, however, you can go back to a specific commit (0663583) and load your frozen model using this version of tfgo (you also need some old TensorFlow C runtime installed, like 1.x)
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Loading models from []byte have a few advantages:
- Able to ship a single binary with Go's new embed feature
- Being able to apply some kind of encryption/decryption of models in memory
Unfortunately, looks like the current solution of going back to older Tensorflow versions aren't really viable.
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Unfortunately, the SavedModel serialization format is a folder - maybe some kind of abstraction can be designed, in order to have a byte array and let tfgo interpret this as a path (since tfgo just invokes the standard TensorFlow C API for loading saved models, and this API wants a location on the disk). But honestly, I don't know if this is feasible or how can this become complex to design and implement
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Related Issues (20)
- loading model HOT 2
- cc1.exe: sorry, unimplemented: 64-bit mode not compiled in HOT 1
- Error: W tensorflow/core/framework/op_kernel.cc:1745] OP_REQUIRES failed at lookup_table_op.cc:929 : FAILED_PRECONDITION: Table not initialized. HOT 1
- SparseTensor support HOT 2
- Failed to go get tfgo HOT 3
- tensor example support HOT 6
- Potential memory leak on reloading model HOT 8
- libtensorflow.so: .dynsym local symbol at index 3 (>= sh_info of 3) HOT 2
- Matching between output tensor name and prediction HOT 7
- Thread safety HOT 2
- Panic vs Error HOT 2
- Reading jpg image from disk and passing as input to a pretrained model loaded from disk HOT 4
- Error building "Getting Started" example: rebuild TensorFlow with the appropriate compiler flags HOT 5
- Can I use tfgo for tensorflow 2.11.x? HOT 2
- Convert opencv's `mat` to tfgo's `tensor` HOT 7
- Dark Souls level frustration with compilation project with this library HOT 1
- Discrepancy between python and go outputs HOT 2
- tfgo Object detection
- Choose output layer of model . HOT 1
- Panic when loading a keras LSTM Model HOT 2
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