Training on GPU

[dropcunt]

when I set the device to my GPU in run.py i get the following error:

InvalidArgumentError (see above for traceback): Cannot assign a device for operation 'ppo/initialize/action-action/Initializer/zeros': Could not satisfy explicit device specification '' because the node was colocated with a group of nodes that required incompatible device '/device:GPU:0' Colocation Debug Info: Colocation group had the following types and devices: Assign: CPU Const: CPU Fill: GPU CPU Switch: GPU CPU VariableV2: CPU Identity: GPU CPU RefSwitch: GPU CPU StridedSliceAssign: GPU CPU IsVariableInitialized: CPU

Does anybody has the same issue? Do you know were you can set something like
allow_soft_placement=True?
Thanks for your help!

[kkuette]

Tensorforce use GPU by default, you can delete this line to use it. If you are not using convolutionnal network, using CPU is faster.

[dropcunt]

Thanks. You're right I thought it will be faster with the GPU