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Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`

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🔐 Serialize JAX, Flax, Haiku, or Objax model params with safetensors

safejax is a Python package to serialize JAX, Flax, Haiku, or Objax model params using safetensors as the tensor storage format, instead of relying on pickle. For more details on why safetensors is safer than pickle please check huggingface/safetensors.

Note that safejax supports the serialization of jax, flax, dm-haiku, and objax model parameters and has been tested with all those frameworks, but there may be some cases where it does not work as expected, as this is still in an early development phase, so please if you have any feedback or bug reports, open an issue at safejax/issues.

🛠️ Requirements & Installation

safejax requires Python 3.7 or above

pip install safejax --upgrade

💻 Usage

flax

  • Convert params to bytes in memory

    from safejax.flax import serialize, deserialize
    
    params = model.init(...)
    
    encoded_bytes = serialize(params)
    decoded_params = deserialize(encoded_bytes)
    
    model.apply(decoded_params, ...)
  • Convert params to bytes in params.safetensors file

    from safejax.flax import serialize, deserialize
    
    params = model.init(...)
    
    encoded_bytes = serialize(params, filename="./params.safetensors")
    decoded_params = deserialize("./params.safetensors")
    
    model.apply(decoded_params, ...)

dm-haiku

  • Just contains params

    from safejax.haiku import serialize, deserialize
    
    params = model.init(...)
    
    encoded_bytes = serialize(params)
    decoded_params = deserialize(encoded_bytes)
    
    model.apply(decoded_params, ...)
  • If it contains params and state e.g. ExponentialMovingAverage in BatchNorm

    from safejax.haiku import serialize, deserialize
    
    params, state = model.init(...)
    params_state = {"params": params, "state": state}
    
    encoded_bytes = serialize(params_state)
    decoded_params_state = deserialize(encoded_bytes) # .keys() contains `params` and `state`
    
    model.apply(decoded_params_state["params"], decoded_params_state["state"], ...)
  • If it contains params and state, but we want to serialize those individually

    from safejax.haiku import serialize, deserialize
    
    params, state = model.init(...)
    
    encoded_bytes = serialize(params)
    decoded_params = deserialize(encoded_bytes)
    
    encoded_bytes = serialize(state)
    decoded_state = deserialize(encoded_bytes)
    
    model.apply(decoded_params, decoded_state, ...)

objax

  • Convert params to bytes in memory, and convert back to VarCollection

    from safejax.objax import serialize, deserialize
    
    params = model.vars()
    
    encoded_bytes = serialize(params=params)
    decoded_params = deserialize(encoded_bytes)
    
    for key, value in decoded_params.items():
      if key in model.vars():
        model.vars()[key].assign(value.value)
    
    model(...)
  • Convert params to bytes in params.safetensors file

    from safejax.objax import serialize, deserialize
    
    params = model.vars()
    
    encoded_bytes = serialize(params=params, filename="./params.safetensors")
    decoded_params = deserialize("./params.safetensors")
    
    for key, value in decoded_params.items():
      if key in model.vars():
        model.vars()[key].assign(value.value)
    
    model(...)
  • Convert params to bytes in params.safetensors and assign during deserialization

    from safejax.objax import serialize, deserialize_with_assignment
    
    params = model.vars()
    
    encoded_bytes = serialize(params=params, filename="./params.safetensors")
    deserialize_with_assignment(filename="./params.safetensors", model_vars=params)
    
    model(...)

More in-detail examples can be found at examples/ for flax, dm-haiku, and objax.

🤔 Why safejax?

safetensors defines an easy and fast (zero-copy) format to store tensors, while pickle has some known weaknesses and security issues. safetensors is also a storage format that is intended to be trivial to the framework used to load the tensors. More in-depth information can be found at huggingface/safetensors.

jax uses pytrees to store the model parameters in memory, so it's a dictionary-like class containing nested jnp.DeviceArray tensors.

dm-haiku uses a custom dictionary formatted as <level_1>/~/<level_2>, where the levels are the ones that define the tree structure and /~/ is the separator between those e.g. res_net50/~/intial_conv, and that key does not contain a jnp.DeviceArray, but a dictionary with key value pairs e.g. for both weights as w and biases as b.

objax defines a custom dictionary-like class named VarCollection that contains some variables inheriting from BaseVar which is another custom objax type.

flax defines a dictionary-like class named FrozenDict that is used to store the tensors in memory, it can be dumped either into bytes in MessagePack format or as a state_dict.

There are no plans from HuggingFace to extend safetensors to support anything more than tensors e.g. FrozenDicts, see their response at huggingface/safetensors/discussions/138.

So the motivation to create safejax is to easily provide a way to serialize FrozenDicts using safetensors as the tensor storage format instead of pickle, as well as to provide a common and easy way to serialize and deserialize any JAX model params (Flax, Haiku, or Objax) using safetensors format.

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