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Add option to run TensorFlow job on the preferred device (via Scope) #159
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0eb5ce7
Draft for DeviceSpec integration
zaleslaw 6316057
Added generation for Ops
zaleslaw 7523713
Removed something from generated Ops
zaleslaw 2da526d
Finalized the PR
zaleslaw 2bbb93b
Refactored Scope.apply method
zaleslaw 27fde85
Handle case of separate usage of control dependencies in Init method
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Hey @zaleslaw , I have another change to propose you that I just thought of. I think if we merge together
scope.applyControlDependencies
and this new step for adding the device string to theopBuilder
would make the whole process of building an op simpler, especially with non-generated ones.So what about that:
scope.applyControlDependencies(opBuilder)
toscope.apply(opBuilder)
Scope.apply
, we apply both control dependencies, the device string (and eventually more data if needed)By doing so, we also won't need
scope.makeDeviceString()
anymore. Let me know what you think