VarStoreMethod creates tensors as opposed to variables about prettytensor

[eiderman]

This is intentional and the documentation will be improved with examples.
For advanced networks, it can sometimes be advantageous to supply a
variable to be shared, or a Tensor that is derived from another variable
under the users control. The only way to do this is to allow a user to wire
in an arbitrary Tensor.

If you want to take a snapshot of a Tensor at initialization, then you need
to wrap it as an initializer function. This has the advantage of making it
much easier to define arbitrary reusable Variables. It is also very
flexible since it is called at graph construction time, you can even use it
initialize to numpy constants (note: this does create huge constants in
your graph).

On Mon, Jul 25, 2016 at 11:46 PM, (Peter) Xi Chen [email protected]
wrote:

When passed in an initializer that's not callable, a tensor is created as
opposed a variable:

prettytensor/prettytensor/pretty_tensor_class.py

Line 1699 in 5649411

v = tf.convert_to_tensor(init, name=var_name, dtype=dt)

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